coupled_cpl	extractionPatterns(academicField, biology courses , including _ 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(academicField, course description , see _ 0.17460325380199865)	0.17460325380199865
coupled_cpl	extractionPatterns(academicField, degree educated in _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(academicField, departmental code for _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(academicField, Disciplines covered include _ 0.18750008129470605)	0.18750008129470605
coupled_cpl	extractionPatterns(academicField, disciplines involved are _ 0.29999994129778657)	0.29999994129778657
coupled_cpl	extractionPatterns(academicField, D-years graduate with _ 0.42857136873737717)	0.42857136873737717
coupled_cpl	extractionPatterns(academicField, equivalent research experience in _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(academicField, favourite subject is _ 0.1298701725791808)	0.1298701725791808
coupled_cpl	extractionPatterns(academicField, field-of-research drop-down list with _ 0.32258068112616345)	0.32258068112616345
coupled_cpl	extractionPatterns(academicField, first class degree in _ 0.1555556085556767)	0.1555556085556767
coupled_cpl	extractionPatterns(academicField, First-year level courses in _ 1.5714283769752078)	1.5714283769752078
coupled_cpl	extractionPatterns(academicField, fourth-year student majoring in _ 0.5000000902799808)	0.5000000902799808
coupled_cpl	extractionPatterns(academicField, general distribution requirement in _ 0.2777777348505767)	0.2777777348505767
coupled_cpl	extractionPatterns(academicField, good first degree in _ 0.2023810444212192)	0.2023810444212192
coupled_cpl	extractionPatterns(academicField, good honours degree in _ 0.17204297133995716)	0.17204297133995716
coupled_cpl	extractionPatterns(academicField, good passes in _ 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(academicField, good undergraduate degree in _ 0.27586214849839436)	0.27586214849839436
coupled_cpl	extractionPatterns(academicField, graduate degrees are in _ 0.18181819858880538)	0.18181819858880538
coupled_cpl	extractionPatterns(academicField, graduating senior majoring in _ 0.1851851765870796)	0.1851851765870796
coupled_cpl	extractionPatterns(academicField, honors work in _ 0.14285716415076063)	0.14285716415076063
coupled_cpl	extractionPatterns(academicField, honours level in _ 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(academicField, interdisciplinary undergraduate program in _ 0.5000000902799808)	0.5000000902799808
coupled_cpl	extractionPatterns(academicField, _ is an interdisciplinary discipline 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(academicField, _ is a physical science 0.17647059800966608)	0.17647059800966608
coupled_cpl	extractionPatterns(academicField, _ is a science subject 0.19999998248682085)	0.19999998248682085
coupled_cpl	extractionPatterns(academicField, _ is a social science 0.2846152530694169)	0.2846152530694169
coupled_cpl	extractionPatterns(academicField, _ is the only science 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(academicField, _ is the scientific study 0.14877591964824782)	0.14877591964824782
coupled_cpl	extractionPatterns(academicField, _ is the systematic study 0.24460441647120051)	0.24460441647120051
coupled_cpl	extractionPatterns(academicField, journals , including many in _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(academicField, major subfields of _ 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(academicField, many departments , such as _ 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(academicField, minor teaching field of _ 0.27586214849839436)	0.27586214849839436
coupled_cpl	extractionPatterns(academicField, other honors credit in _ 0.1851851765870796)	0.1851851765870796
coupled_cpl	extractionPatterns(academicField, other sub-disciplines within _ 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(academicField, other subfields of _ 0.23333338760826947)	0.23333338760826947
coupled_cpl	extractionPatterns(academicField, research started as _ 0.37500009487940933)	0.37500009487940933
coupled_cpl	extractionPatterns(academicField, science disciplines such as _ 0.1851851765870796)	0.1851851765870796
coupled_cpl	extractionPatterns(academicField, second honours degree in _ 0.37500009487940933)	0.37500009487940933
coupled_cpl	extractionPatterns(academicField, second-year courses in _ 0.19999998248682085)	0.19999998248682085
coupled_cpl	extractionPatterns(academicField, Second-year level courses in _ 0.1851851765870796)	0.1851851765870796
coupled_cpl	extractionPatterns(academicField, subject test in _ 0.21538460252192804)	0.21538460252192804
coupled_cpl	extractionPatterns(academicField, summer research opportunities in _ 0.19999998248682085)	0.19999998248682085
coupled_cpl	extractionPatterns(academicField, third year courses in _ 0.3999998927496764)	0.3999998927496764
coupled_cpl	extractionPatterns(academicField, Third-year level courses in _ 0.1851851765870796)	0.1851851765870796
coupled_cpl	extractionPatterns(academicField, Undergraduate course in _ 0.23809512506891317)	0.23809512506891317
coupled_cpl	extractionPatterns(academicField, upper second class degree in _ 0.20689662636382428)	0.20689662636382428
coupled_cpl	extractionPatterns(academicField, _ visit the Prospects website 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(academicField, _ was a particular interest 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(acquired, arg1 agreed to acquire arg2 0.018518519380819918)	0.018518519380819918
coupled_cpl	extractionPatterns(acquired, arg1 agreed to buy arg2 0.012658225980595343)	0.012658225980595343
coupled_cpl	extractionPatterns(acquired, arg1 agreed to purchase arg2 0.011406841180718871)	0.011406841180718871
coupled_cpl	extractionPatterns(acquired, arg1 agrees to buy arg2 0.018518519380819918)	0.018518519380819918
coupled_cpl	extractionPatterns(acquired, arg1 and its subsidiary arg2 0.010330578453331936)	0.010330578453331936
coupled_cpl	extractionPatterns(acquired, arg1 announced it was buying arg2 0.018518519380819918)	0.018518519380819918
coupled_cpl	extractionPatterns(acquired, arg1 announced plans to buy arg2 0.00392156684375894)	0.00392156684375894
coupled_cpl	extractionPatterns(acquired, arg1 announced the acquisition of arg2 0.019230763818874366)	0.019230763818874366
coupled_cpl	extractionPatterns(acquired, arg1 aquired arg2 0.013513514773029384)	0.013513514773029384
coupled_cpl	extractionPatterns(acquired, arg1 bought arg2 0.0017652446258242715)	0.0017652446258242715
coupled_cpl	extractionPatterns(acquired, arg1 bought out arg2 0.006915631464209631)	0.006915631464209631
coupled_cpl	extractionPatterns(acquired, arg1 completed its acquisition of arg2 0.018518519380819918)	0.018518519380819918
coupled_cpl	extractionPatterns(acquired, arg1 for each share of arg2 0.012820510598584696)	0.012820510598584696
coupled_cpl	extractionPatterns(acquired, arg1 gobbled up arg2 0.012658225980595343)	0.012658225980595343
coupled_cpl	extractionPatterns(acquired, arg1 gobbles up arg2 0.012820510598584696)	0.012820510598584696
coupled_cpl	extractionPatterns(acquired, arg1 has bought arg2 0.005286346047687512)	0.005286346047687512
coupled_cpl	extractionPatterns(acquired, arg1 in its purchase of arg2 0.019230763818874366)	0.019230763818874366
coupled_cpl	extractionPatterns(acquired, arg1 needs to let arg2 0.012820510598584696)	0.012820510598584696
coupled_cpl	extractionPatterns(acquired, arg1 now owns arg2 0.011764708899886466)	0.011764708899886466
coupled_cpl	extractionPatterns(acquired, arg1 overpaid for arg2 0.008658004588415225)	0.008658004588415225
coupled_cpl	extractionPatterns(acquired, arg1 owns arg2 0.0027513928627053603)	0.0027513928627053603
coupled_cpl	extractionPatterns(acquired, arg1 plans to acquire arg2 0.008658004588415225)	0.008658004588415225
coupled_cpl	extractionPatterns(acquired, arg1 plans to keep arg2 0.00392156684375894)	0.00392156684375894
coupled_cpl	extractionPatterns(acquired, arg1 recently acquired arg2 0.009596930223793425)	0.009596930223793425
coupled_cpl	extractionPatterns(acquired, arg1 recently bought arg2 0.010344823803232518)	0.010344823803232518
coupled_cpl	extractionPatterns(acquired, arg1 should sell arg2 0.01648352305069392)	0.01648352305069392
coupled_cpl	extractionPatterns(acquired, arg1 subsidiary arg2 0.007633590253444304)	0.007633590253444304
coupled_cpl	extractionPatterns(acquired, arg1 swallowed up arg2 0.008658004588415225)	0.008658004588415225
coupled_cpl	extractionPatterns(acquired, arg1 to have bought arg2 0.008658004588415225)	0.008658004588415225
coupled_cpl	extractionPatterns(acquired, arg1 was going to buy arg2 0.020547952048772924)	0.020547952048772924
coupled_cpl	extractionPatterns(acquired, arg1 when it acquired arg2 0.018633541794714714)	0.018633541794714714
coupled_cpl	extractionPatterns(acquired, arg1 when it purchased arg2 0.004819278745401499)	0.004819278745401499
coupled_cpl	extractionPatterns(acquired, arg2 acquisition by arg1 0.00784314011449841)	0.00784314011449841
coupled_cpl	extractionPatterns(acquired, arg2 and acquired by arg1 0.008658004588415225)	0.008658004588415225
coupled_cpl	extractionPatterns(acquired, arg2 and its parent company arg1 0.01898733691820677)	0.01898733691820677
coupled_cpl	extractionPatterns(acquired, arg2 becoming part of arg1 0.01185770988212763)	0.01185770988212763
coupled_cpl	extractionPatterns(acquired, arg2 before it was purchased by arg1 0.004819278745401499)	0.004819278745401499
coupled_cpl	extractionPatterns(acquired, arg2 being acquired by arg1 0.01185770988212763)	0.01185770988212763
coupled_cpl	extractionPatterns(acquired, arg2 being purchased by arg1 0.007228917336597219)	0.007228917336597219
coupled_cpl	extractionPatterns(acquired, arg2 has been acquired by arg1 0.00936767823989503)	0.00936767823989503
coupled_cpl	extractionPatterns(acquired, arg2 has been bought by arg1 0.018404906358380185)	0.018404906358380185
coupled_cpl	extractionPatterns(acquired, arg2 has been purchased by arg1 0.004819278745401499)	0.004819278745401499
coupled_cpl	extractionPatterns(acquired, arg2 is now owned by arg1 0.0018518521102932034)	0.0018518521102932034
coupled_cpl	extractionPatterns(acquired, arg2 later merged with arg1 0.011406841180718871)	0.011406841180718871
coupled_cpl	extractionPatterns(acquired, arg2 was acquired by arg1 0.0018894660557675544)	0.0018894660557675544
coupled_cpl	extractionPatterns(acquired, arg2 was bought by arg1 0.0024950088567134636)	0.0024950088567134636
coupled_cpl	extractionPatterns(acquired, arg2 was bought out by arg1 0.018518519380819918)	0.018518519380819918
coupled_cpl	extractionPatterns(acquired, arg2 was recently purchased by arg1 0.020134228535785566)	0.020134228535785566
coupled_cpl	extractionPatterns(acquired, arg2 was subsequently acquired by arg1 0.01185770988212763)	0.01185770988212763
coupled_cpl	extractionPatterns(acquired, arg2 which is owned by arg1 0.01583113038291936)	0.01583113038291936
coupled_cpl	extractionPatterns(actor, action thriller starring _ 0.2777777348505767)	0.2777777348505767
coupled_cpl	extractionPatterns(actor, adaptation starring _ 0.23809512506891317)	0.23809512506891317
coupled_cpl	extractionPatterns(actor, all-star cast includes _ 0.2727272683991621)	0.2727272683991621
coupled_cpl	extractionPatterns(actor, all-star cast including _ 0.24509803637648786)	0.24509803637648786
coupled_cpl	extractionPatterns(actor, alumni such as _ 0.26250005169950047)	0.26250005169950047
coupled_cpl	extractionPatterns(actor, book , starring _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(actor, boss played by _ 0.2777777348505767)	0.2777777348505767
coupled_cpl	extractionPatterns(actor, character made famous by _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(actor, classic film starring _ 0.31578931892794915)	0.31578931892794915
coupled_cpl	extractionPatterns(actor, comedy film starring _ 0.2727272683991621)	0.2727272683991621
coupled_cpl	extractionPatterns(actor, crime thriller starring _ 0.2777777348505767)	0.2777777348505767
coupled_cpl	extractionPatterns(actor, documentary , narrated by _ 0.2727272683991621)	0.2727272683991621
coupled_cpl	extractionPatterns(actor, ensemble cast including _ 0.23809512506891317)	0.23809512506891317
coupled_cpl	extractionPatterns(actor, exclusive biography of _ 0.3636363315194487)	0.3636363315194487
coupled_cpl	extractionPatterns(actor, favorite actor is _ 0.06818184172160531)	0.06818184172160531
coupled_cpl	extractionPatterns(actor, favorite actress is _ 0.08163264791761125)	0.08163264791761125
coupled_cpl	extractionPatterns(actor, favourite actor is _ 0.2592591858756811)	0.2592591858756811
coupled_cpl	extractionPatterns(actor, featured star is _ 0.30555545339543744)	0.30555545339543744
coupled_cpl	extractionPatterns(actor, film , co-starring _ 0.3999998927496764)	0.3999998927496764
coupled_cpl	extractionPatterns(actor, film version , starring _ 0.31578931892794915)	0.31578931892794915
coupled_cpl	extractionPatterns(actor, _ gives an astonishing performance 0.30769230656666036)	0.30769230656666036
coupled_cpl	extractionPatterns(actor, _ gives another great performance 0.30769230656666036)	0.30769230656666036
coupled_cpl	extractionPatterns(actor, _ gives an unforgettable performance 0.22727262293734563)	0.22727262293734563
coupled_cpl	extractionPatterns(actor, Glory starring _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(actor, good acting by _ 0.29629639239245803)	0.29629639239245803
coupled_cpl	extractionPatterns(actor, _ has baby girl 0.2727272683991621)	0.2727272683991621
coupled_cpl	extractionPatterns(actor, hit movie starring _ 0.3999998927496764)	0.3999998927496764
coupled_cpl	extractionPatterns(actor, _ is a favorite actor 0.30769230656666036)	0.30769230656666036
coupled_cpl	extractionPatterns(actor, _ is an outstanding actor 0.22727262293734563)	0.22727262293734563
coupled_cpl	extractionPatterns(actor, _ is preggers 0.09589043896783345)	0.09589043896783345
coupled_cpl	extractionPatterns(actor, lawyer played by _ 0.29999994129778657)	0.29999994129778657
coupled_cpl	extractionPatterns(actor, life starring _ 0.29629639239245803)	0.29629639239245803
coupled_cpl	extractionPatterns(actor, main character played by _ 0.29629639239245803)	0.29629639239245803
coupled_cpl	extractionPatterns(actor, Man starring _ 0.29629639239245803)	0.29629639239245803
coupled_cpl	extractionPatterns(actor, motion picture starring _ 0.23364486205460408)	0.23364486205460408
coupled_cpl	extractionPatterns(actor, movie staring _ 0.06172841001471406)	0.06172841001471406
coupled_cpl	extractionPatterns(actor, movie star like _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(actor, movie trailers starring _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(actor, movie version starring _ 0.294117774006532)	0.294117774006532
coupled_cpl	extractionPatterns(actor, novel , starring _ 0.23076924664463755)	0.23076924664463755
coupled_cpl	extractionPatterns(actor, _ plays a father 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(actor, _ plays a scientist 0.2777777348505767)	0.2777777348505767
coupled_cpl	extractionPatterns(actor, prostitute played by _ 0.3846155557798213)	0.3846155557798213
coupled_cpl	extractionPatterns(actor, remake starring _ 0.10204085568128576)	0.10204085568128576
coupled_cpl	extractionPatterns(actor, scientist played by _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(actor, star cast , including _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(actor, stars opposite _ 0.24324332480466354)	0.24324332480466354
coupled_cpl	extractionPatterns(actor, star wattage of _ 0.2916665737103659)	0.2916665737103659
coupled_cpl	extractionPatterns(actor, such actresses as _ 0.29999994129778657)	0.29999994129778657
coupled_cpl	extractionPatterns(actor, _ suffered a broken rib 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(animal, animals including _ 0.499404944652029)	0.499404944652029
coupled_cpl	extractionPatterns(animal, animals , like _ 0.4702231075481552)	0.4702231075481552
coupled_cpl	extractionPatterns(animal, animals other than _ 0.5192743098943509)	0.5192743098943509
coupled_cpl	extractionPatterns(animal, animals ranging from _ 0.6525425050942721)	0.6525425050942721
coupled_cpl	extractionPatterns(animal, Animals such as _ 0.46732048186941055)	0.46732048186941055
coupled_cpl	extractionPatterns(animal, breeds of _ 0.422974663031719)	0.422974663031719
coupled_cpl	extractionPatterns(animal, _ chirping in 0.5247522670725591)	0.5247522670725591
coupled_cpl	extractionPatterns(animal, conservation of migratory _ 0.5856353223110421)	0.5856353223110421
coupled_cpl	extractionPatterns(animal, control of pest _ 0.7741938380417579)	0.7741938380417579
coupled_cpl	extractionPatterns(animal, favorite animals are _ 0.6483516889456793)	0.6483516889456793
coupled_cpl	extractionPatterns(animal, flowers attract _ 0.6132595642256308)	0.6132595642256308
coupled_cpl	extractionPatterns(animal, habitat for migratory _ 0.7021276878305981)	0.7021276878305981
coupled_cpl	extractionPatterns(animal, herds of wild _ 0.7231837064182447)	0.7231837064182447
coupled_cpl	extractionPatterns(animal, insects like _ 0.5314814409819026)	0.5314814409819026
coupled_cpl	extractionPatterns(animal, insects , other _ 0.6617648484303156)	0.6617648484303156
coupled_cpl	extractionPatterns(animal, insects such as _ 0.45197744537850953)	0.45197744537850953
coupled_cpl	extractionPatterns(animal, insects , such as _ 0.5714284502488258)	0.5714284502488258
coupled_cpl	extractionPatterns(animal, invertebrates like _ 0.7386360272485653)	0.7386360272485653
coupled_cpl	extractionPatterns(animal, invertebrates such as _ 0.4742266059037243)	0.4742266059037243
coupled_cpl	extractionPatterns(animal, large herd of _ 0.5328800111250495)	0.5328800111250495
coupled_cpl	extractionPatterns(animal, large herds of _ 0.5352839099710952)	0.5352839099710952
coupled_cpl	extractionPatterns(animal, mammals including _ 0.5558510034783077)	0.5558510034783077
coupled_cpl	extractionPatterns(animal, mammals , including _ 0.6898818002848686)	0.6898818002848686
coupled_cpl	extractionPatterns(animal, mammals like _ 0.5578233186407643)	0.5578233186407643
coupled_cpl	extractionPatterns(animal, mammals such as _ 0.22745496869181514)	0.22745496869181514
coupled_cpl	extractionPatterns(animal, mammals , such as _ 0.4589284332148987)	0.4589284332148987
coupled_cpl	extractionPatterns(animal, management of migratory _ 0.6779660947740903)	0.6779660947740903
coupled_cpl	extractionPatterns(animal, more species of _ 0.19806757869084565)	0.19806757869084565
coupled_cpl	extractionPatterns(animal, mosquitoes , biting _ 0.6734692103930199)	0.6734692103930199
coupled_cpl	extractionPatterns(animal, number of migratory _ 0.7207204083881416)	0.7207204083881416
coupled_cpl	extractionPatterns(animal, other species , including _ 0.5255100311892672)	0.5255100311892672
coupled_cpl	extractionPatterns(animal, pets such as _ 0.3181077872555375)	0.3181077872555375
coupled_cpl	extractionPatterns(animal, pollinators such as _ 0.7534248503476357)	0.7534248503476357
coupled_cpl	extractionPatterns(animal, population of wild _ 0.47826084236689514)	0.47826084236689514
coupled_cpl	extractionPatterns(animal, predation by _ 0.458677468007172)	0.458677468007172
coupled_cpl	extractionPatterns(animal, predators include _ 0.5421053086572524)	0.5421053086572524
coupled_cpl	extractionPatterns(animal, predators , including _ 0.5425532726258527)	0.5425532726258527
coupled_cpl	extractionPatterns(animal, predators like _ 0.49319729120110745)	0.49319729120110745
coupled_cpl	extractionPatterns(animal, predators such as _ 0.22091064069030616)	0.22091064069030616
coupled_cpl	extractionPatterns(animal, predators , such as _ 0.5585104219713435)	0.5585104219713435
coupled_cpl	extractionPatterns(animal, Predators such as _ 0.6749997219740421)	0.6749997219740421
coupled_cpl	extractionPatterns(animal, prey such as _ 0.5079785788047109)	0.5079785788047109
coupled_cpl	extractionPatterns(animal, prey , such as _ 0.5465114609714454)	0.5465114609714454
coupled_cpl	extractionPatterns(animal, small herd of _ 0.47167126901100914)	0.47167126901100914
coupled_cpl	extractionPatterns(animal, thousands of migratory _ 0.861878473737796)	0.861878473737796
coupled_cpl	extractionPatterns(animal, wildlife , including _ 0.443388020291923)	0.443388020291923
coupled_cpl	extractionPatterns(animal, wildlife including _ 0.49786316937608194)	0.49786316937608194
coupled_cpl	extractionPatterns(animal, wildlife like _ 0.46732048186941055)	0.46732048186941055
coupled_cpl	extractionPatterns(animal, wildlife , such as _ 0.5244301680750879)	0.5244301680750879
coupled_cpl	extractionPatterns(animal, wildlife such as _ 0.5333331516919638)	0.5333331516919638
coupled_cpl	extractionPatterns(athlete, baseball players like _ 0.2105262353782364)	0.2105262353782364
coupled_cpl	extractionPatterns(athlete, better quarterback than _ 0.2727272683991621)	0.2727272683991621
coupled_cpl	extractionPatterns(athlete, blockbuster trade for _ 0.17647059800966608)	0.17647059800966608
coupled_cpl	extractionPatterns(athlete, _ breaks the homerun record 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(athlete, _ break the home run record 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(athlete, _ broke the home run record 0.357143006136159)	0.357143006136159
coupled_cpl	extractionPatterns(athlete, DD-yard bomb from _ 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(athlete, defensively challenged _ 0.12499994270999265)	0.12499994270999265
coupled_cpl	extractionPatterns(athlete, D-yard TD pass from _ 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(athlete, D-yard touchdown pass from _ 0.24000008535365014)	0.24000008535365014
coupled_cpl	extractionPatterns(athlete, _ ended a streak 0.3023255083027143)	0.3023255083027143
coupled_cpl	extractionPatterns(athlete, _ faced more pressure 0.30769230656666036)	0.30769230656666036
coupled_cpl	extractionPatterns(athlete, favorite football player is _ 0.2727272683991621)	0.2727272683991621
coupled_cpl	extractionPatterns(athlete, federal grand jury is investigating whether _ 0.2727272683991621)	0.2727272683991621
coupled_cpl	extractionPatterns(athlete, football greats like _ 0.17647059800966608)	0.17647059800966608
coupled_cpl	extractionPatterns(athlete, grand jury testimony of _ 0.35483868543724384)	0.35483868543724384
coupled_cpl	extractionPatterns(athlete, _ has a high ankle sprain 0.2727272683991621)	0.2727272683991621
coupled_cpl	extractionPatterns(athlete, _ has knee surgery 0.1562499984946291)	0.1562499984946291
coupled_cpl	extractionPatterns(athlete, hooplah surrounding _ 0.2727272683991621)	0.2727272683991621
coupled_cpl	extractionPatterns(athlete, inside bucket by _ 0.23076924664463755)	0.23076924664463755
coupled_cpl	extractionPatterns(athlete, interception off _ 0.23529411363207658)	0.23529411363207658
coupled_cpl	extractionPatterns(athlete, interception thrown by _ 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(athlete, _ is a better quarterback 0.611111407559835)	0.611111407559835
coupled_cpl	extractionPatterns(athlete, _ is a good QB 0.2727272683991621)	0.2727272683991621
coupled_cpl	extractionPatterns(athlete, _ is a good quarterback 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(athlete, _ is a great baseball player 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(athlete, _ is a great quarterback 0.26470586839763205)	0.26470586839763205
coupled_cpl	extractionPatterns(athlete, _ is the only quarterback 0.19999998248682085)	0.19999998248682085
coupled_cpl	extractionPatterns(athlete, _ notes the trend 0.23076924664463755)	0.23076924664463755
coupled_cpl	extractionPatterns(athlete, _ opened the drive 0.23076924664463755)	0.23076924664463755
coupled_cpl	extractionPatterns(athlete, pass rush on _ 0.2173913703250207)	0.2173913703250207
coupled_cpl	extractionPatterns(athlete, perjury case against _ 0.2368420063555864)	0.2368420063555864
coupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 had DD points for arg2 0.00508906071913185)	0.00508906071913185
coupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 led the way for arg2 0.003154573419171313)	0.003154573419171313
coupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 scored DD points for arg2 0.00645161365754357)	0.00645161365754357
coupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 are led by arg1 6.901310851074427E-4)	6.901310851074427E-4
coupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 are without arg1 7.739936357094558E-5)	7.739936357094558E-5
coupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 center arg1 2.0457804850747464E-4)	2.0457804850747464E-4
coupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 forward arg1 6.129329549698938E-4)	6.129329549698938E-4
coupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 guard arg1 8.944540730904334E-4)	8.944540730904334E-4
coupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 not named arg1 0.004347827430101057)	0.004347827430101057
coupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 outfielder arg1 0.008238928334595191)	0.008238928334595191
coupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 quarterback arg1 0.01484570026654334)	0.01484570026654334
coupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 slugger arg1 0.0029291148516706455)	0.0029291148516706455
coupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 teammate arg1 0.0010922996877276152)	0.0010922996877276152
coupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 traded for arg1 0.0011716456265197421)	0.0011716456265197421
coupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 were without arg1 9.79431751385585E-4)	9.79431751385585E-4
coupled_cpl	extractionPatterns(athletePlaysSport, arg1 autographed arg2 0.0065359471986433885)	0.0065359471986433885
coupled_cpl	extractionPatterns(athletePlaysSport, arg1 is not playing arg2 0.006920411816973067)	0.006920411816973067
coupled_cpl	extractionPatterns(athletePlaysSport, arg1 learned to play arg2 0.0030395129202595824)	0.0030395129202595824
coupled_cpl	extractionPatterns(athletePlaysSport, arg1 plays arg2 9.756204728067162E-5)	9.756204728067162E-5
coupled_cpl	extractionPatterns(athletePlaysSport, arg1 retired from arg2 5.400542286619475E-4)	5.400542286619475E-4
coupled_cpl	extractionPatterns(athletePlaysSport, arg1 retired from professional arg2 0.004672897266457251)	0.004672897266457251
coupled_cpl	extractionPatterns(athletePlaysSport, arg1 retires from arg2 0.010380626983851924)	0.010380626983851924
coupled_cpl	extractionPatterns(athletePlaysSport, arg1 started playing arg2 8.880992972465844E-4)	8.880992972465844E-4
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 ace arg1 7.024586638375409E-4)	7.024586638375409E-4
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 autographed by arg1 0.0028943549731050323)	0.0028943549731050323
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 celebrity arg1 2.33072964747063E-4)	2.33072964747063E-4
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 champ arg1 0.005999998858524601)	0.005999998858524601
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 genius arg1 0.001085186952913622)	0.001085186952913622
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 great arg1 8.862327830877308E-5)	8.862327830877308E-5
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 greats arg1 0.005617975001641493)	0.005617975001641493
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 greats as arg1 0.004672897266457251)	0.004672897266457251
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 greats like arg1 0.004559268887495158)	0.004559268887495158
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 greats such as arg1 0.007009345141918396)	0.007009345141918396
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 hero arg1 0.001450443365466956)	0.001450443365466956
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 hottie arg1 0.010101008587218198)	0.010101008587218198
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 icon arg1 3.010536710422842E-4)	3.010536710422842E-4
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 idol arg1 7.504691602551684E-4)	7.504691602551684E-4
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 legend arg1 2.8905921345250056E-4)	2.8905921345250056E-4
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 legends arg1 9.009011660418229E-4)	9.009011660418229E-4
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 legends including arg1 0.004672897266457251)	0.004672897266457251
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 lesson from arg1 0.0031847133309180035)	0.0031847133309180035
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 lessons with arg1 0.002164501928748366)	0.002164501928748366
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 megastar arg1 0.0028943549731050323)	0.0028943549731050323
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 phenom arg1 0.012759170640549723)	0.012759170640549723
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 player arg1 6.354392918910931E-4)	6.354392918910931E-4
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 player like arg1 0.003189793812035217)	0.003189793812035217
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 player named arg1 0.0028943549731050323)	0.0028943549731050323
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 player since arg1 8.880992972465844E-4)	8.880992972465844E-4
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 prodigy arg1 0.003189793812035217)	0.003189793812035217
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 sensation arg1 0.002274795774634875)	0.002274795774634875
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 star arg1 0.0035752506264240015)	0.0035752506264240015
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 stars like arg1 0.0019685048180680745)	0.0019685048180680745
coupled_cpl	extractionPatterns(athletePlaysSport, arg2 superstar arg1 0.012879788232721278)	0.012879788232721278
coupled_cpl	extractionPatterns(athlete, quarterback like _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(athlete, quarterback named _ 0.15384618106178571)	0.15384618106178571
coupled_cpl	extractionPatterns(athlete, quarterback other than _ 0.357143006136159)	0.357143006136159
coupled_cpl	extractionPatterns(athlete, quarterbacks like _ 0.22857131881364412)	0.22857131881364412
coupled_cpl	extractionPatterns(athlete, quarterbacks named _ 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(athlete, sluggers like _ 0.24137923332822347)	0.24137923332822347
coupled_cpl	extractionPatterns(athlete, soccer great _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(athlete, star players such as _ 0.12499994270999265)	0.12499994270999265
coupled_cpl	extractionPatterns(athlete, tennis great _ 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(athlete, _ threw the interception 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(athlete, _ throws a touchdown pass 0.23076924664463755)	0.23076924664463755
coupled_cpl	extractionPatterns(athlete, _ told a federal grand jury 0.294117774006532)	0.294117774006532
coupled_cpl	extractionPatterns(athlete, top players , including _ 0.17142850153053285)	0.17142850153053285
coupled_cpl	extractionPatterns(athlete, top players including _ 0.19999998248682085)	0.19999998248682085
coupled_cpl	extractionPatterns(athlete, two-stroke victory over _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(athlete, unbeaten season as _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(athlete, _ was a better quarterback 0.30769230656666036)	0.30769230656666036
coupled_cpl	extractionPatterns(athlete, _ was the only quarterback 0.19999998248682085)	0.19999998248682085
coupled_cpl	extractionPatterns(awardTrophyTournament, ad during _ 0.26063821048537)	0.26063821048537
coupled_cpl	extractionPatterns(awardTrophyTournament, ad time during _ 0.2777777348505767)	0.2777777348505767
coupled_cpl	extractionPatterns(awardTrophyTournament, Champ Car Atlantic _ 0.6521739227132215)	0.6521739227132215
coupled_cpl	extractionPatterns(awardTrophyTournament, championship is called _ 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(awardTrophyTournament, commercial aired during _ 0.19047620506734006)	0.19047620506734006
coupled_cpl	extractionPatterns(awardTrophyTournament, commercials during _ 0.12297736068774087)	0.12297736068774087
coupled_cpl	extractionPatterns(awardTrophyTournament, contribution plot for _ 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(awardTrophyTournament, courts used by _ 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(awardTrophyTournament, cricket following _ 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(awardTrophyTournament, _ doubles titles 0.7999996410514483)	0.7999996410514483
coupled_cpl	extractionPatterns(awardTrophyTournament, early break in _ 0.37931017686449026)	0.37931017686449026
coupled_cpl	extractionPatterns(awardTrophyTournament, favorite team play in _ 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(awardTrophyTournament, favorite team win _ 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(awardTrophyTournament, golfers have won _ 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(awardTrophyTournament, grand slam at _ 0.18181819858880538)	0.18181819858880538
coupled_cpl	extractionPatterns(awardTrophyTournament, group stage of _ 0.35294113229229485)	0.35294113229229485
coupled_cpl	extractionPatterns(awardTrophyTournament, group stages of _ 0.23809512506891317)	0.23809512506891317
coupled_cpl	extractionPatterns(awardTrophyTournament, high school football team won _ 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(awardTrophyTournament, _ is presented each year 0.3929711812320548)	0.3929711812320548
coupled_cpl	extractionPatterns(awardTrophyTournament, knockout round of _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(awardTrophyTournament, knockout stages of _ 0.3469387595698979)	0.3469387595698979
coupled_cpl	extractionPatterns(awardTrophyTournament, last won _ 0.11869441854463367)	0.11869441854463367
coupled_cpl	extractionPatterns(awardTrophyTournament, mixed doubles title at _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(awardTrophyTournament, one-game playoff for _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(awardTrophyTournament, qualifying matches for _ 0.18181819858880538)	0.18181819858880538
coupled_cpl	extractionPatterns(awardTrophyTournament, qualifying site for _ 0.19047620506734006)	0.19047620506734006
coupled_cpl	extractionPatterns(awardTrophyTournament, relegation from _ 0.24861867053758288)	0.24861867053758288
coupled_cpl	extractionPatterns(awardTrophyTournament, run towards _ 0.15897441526378747)	0.15897441526378747
coupled_cpl	extractionPatterns(awardTrophyTournament, second-round match at _ 0.19047620506734006)	0.19047620506734006
coupled_cpl	extractionPatterns(awardTrophyTournament, service game in _ 0.357143006136159)	0.357143006136159
coupled_cpl	extractionPatterns(awardTrophyTournament, seventh game of _ 0.251655547876599)	0.251655547876599
coupled_cpl	extractionPatterns(awardTrophyTournament, _ singles champions 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(awardTrophyTournament, _ singles crown 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(awardTrophyTournament, _ singles finals 0.22727262293734563)	0.22727262293734563
coupled_cpl	extractionPatterns(awardTrophyTournament, _ singles titles 0.5611112985497204)	0.5611112985497204
coupled_cpl	extractionPatterns(awardTrophyTournament, third qualifying round of _ 0.47368440086698504)	0.47368440086698504
coupled_cpl	extractionPatterns(awardTrophyTournament, _ winning artists 0.4812501893142311)	0.4812501893142311
coupled_cpl	extractionPatterns(awardTrophyTournament, _ winning beaches 0.8780488930959858)	0.8780488930959858
coupled_cpl	extractionPatterns(awardTrophyTournament, _ winning beer 0.5952379722709458)	0.5952379722709458
coupled_cpl	extractionPatterns(awardTrophyTournament, _ winning book 0.4216591469364225)	0.4216591469364225
coupled_cpl	extractionPatterns(awardTrophyTournament, _ winning coach 0.1398601897490881)	0.1398601897490881
coupled_cpl	extractionPatterns(awardTrophyTournament, _ winning designs 0.3680556976338162)	0.3680556976338162
coupled_cpl	extractionPatterns(awardTrophyTournament, _ winning faculty 0.8750003435465248)	0.8750003435465248
coupled_cpl	extractionPatterns(awardTrophyTournament, _ winning gardens 0.807453347135124)	0.807453347135124
coupled_cpl	extractionPatterns(awardTrophyTournament, _ winning material 0.456521720306068)	0.456521720306068
coupled_cpl	extractionPatterns(awardTrophyTournament, _ winning service department 0.9199996402239974)	0.9199996402239974
coupled_cpl	extractionPatterns(awardTrophyTournament, _ winning short films 0.9183671709247885)	0.9183671709247885
coupled_cpl	extractionPatterns(awardTrophyTournament, _ winning technology 0.5035969667316305)	0.5035969667316305
coupled_cpl	extractionPatterns(awardTrophyTournament, _ winning winery 0.9230766532371499)	0.9230766532371499
coupled_cpl	extractionPatterns(awardTrophyTournament, _ winning wines 0.7674752865300973)	0.7674752865300973
coupled_cpl	extractionPatterns(boardGame, abstract games like _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(boardGame, abstract games such as _ 0.42857136873737717)	0.42857136873737717
coupled_cpl	extractionPatterns(boardGame, amazing job translating _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(boardGame, board game known as _ 0.42857136873737717)	0.42857136873737717
coupled_cpl	extractionPatterns(boardGame, board game like _ 0.4117647861768502)	0.4117647861768502
coupled_cpl	extractionPatterns(boardGame, board game , see _ 0.19148936636945865)	0.19148936636945865
coupled_cpl	extractionPatterns(boardGame, board games include _ 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(boardGame, board games including _ 0.29629639239245803)	0.29629639239245803
coupled_cpl	extractionPatterns(boardGame, board games , like _ 0.38095234134994)	0.38095234134994
coupled_cpl	extractionPatterns(boardGame, boardgames like _ 0.5555553693900973)	0.5555553693900973
coupled_cpl	extractionPatterns(boardGame, boardgames such as _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(boardGame, board game , such as _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(boardGame, board game such as _ 0.44444454054060095)	0.44444454054060095
coupled_cpl	extractionPatterns(boardGame, board-game version of _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(boardGame, butt kicked at _ 0.21428572306010352)	0.21428572306010352
coupled_cpl	extractionPatterns(boardGame, childhood favorites like _ 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(boardGame, competitive games , such as _ 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(boardGame, complex games like _ 0.5000000902799808)	0.5000000902799808
coupled_cpl	extractionPatterns(boardGame, cutthroat game of _ 0.3999998927496764)	0.3999998927496764
coupled_cpl	extractionPatterns(boardGame, cutthroat games of _ 0.44444454054060095)	0.44444454054060095
coupled_cpl	extractionPatterns(boardGame, electronic game of _ 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(boardGame, epic games of _ 0.42857136873737717)	0.42857136873737717
coupled_cpl	extractionPatterns(boardGame, face-to-face game of _ 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(boardGame, family had been playing _ 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(boardGame, fashion game of _ 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(boardGame, favorite board game is _ 0.43999980291076946)	0.43999980291076946
coupled_cpl	extractionPatterns(boardGame, game of giant _ 0.3999998927496764)	0.3999998927496764
coupled_cpl	extractionPatterns(boardGame, game show , see _ 0.18181819858880538)	0.18181819858880538
coupled_cpl	extractionPatterns(boardGame, game s like _ 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(boardGame, government was playing _ 0.18181819858880538)	0.18181819858880538
coupled_cpl	extractionPatterns(boardGame, impassioned game of _ 0.18181819858880538)	0.18181819858880538
coupled_cpl	extractionPatterns(boardGame, _ is a classic game 1.4741373923900425)	1.4741373923900425
coupled_cpl	extractionPatterns(boardGame, _ is a horrible game 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(boardGame, life-size game of _ 0.18181819858880538)	0.18181819858880538
coupled_cpl	extractionPatterns(boardGame, live game of _ 0.30769230656666036)	0.30769230656666036
coupled_cpl	extractionPatterns(boardGame, living game of _ 0.5714284502488258)	0.5714284502488258
coupled_cpl	extractionPatterns(boardGame, many many games of _ 0.18181819858880538)	0.18181819858880538
coupled_cpl	extractionPatterns(boardGame, mind games like _ 0.21428572306010352)	0.21428572306010352
coupled_cpl	extractionPatterns(boardGame, old men play _ 0.449999863298018)	0.449999863298018
coupled_cpl	extractionPatterns(boardGame, old men playing _ 0.31914906402380705)	0.31914906402380705
coupled_cpl	extractionPatterns(boardGame, other classic games like _ 0.42857136873737717)	0.42857136873737717
coupled_cpl	extractionPatterns(boardGame, party games such as _ 0.29999994129778657)	0.29999994129778657
coupled_cpl	extractionPatterns(boardGame, possible games of _ 0.42857136873737717)	0.42857136873737717
coupled_cpl	extractionPatterns(boardGame, royal game of _ 0.4545456183474251)	0.4545456183474251
coupled_cpl	extractionPatterns(boardGame, same rules as normal _ 0.23076924664463755)	0.23076924664463755
coupled_cpl	extractionPatterns(boardGame, stimulating game of _ 0.3846155557798213)	0.3846155557798213
coupled_cpl	extractionPatterns(boardGame, strategy games like _ 0.19999998248682085)	0.19999998248682085
coupled_cpl	extractionPatterns(boardGame, strategy games such as _ 0.29629639239245803)	0.29629639239245803
coupled_cpl	extractionPatterns(boardGame, time reading , playing _ 0.30769230656666036)	0.30769230656666036
coupled_cpl	extractionPatterns(boardGame, tournament game of _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(bodyPart, _ amputated in 0.6065573476487911)	0.6065573476487911
coupled_cpl	extractionPatterns(bodyPart, big beaming _ 0.6666667387387801)	0.6666667387387801
coupled_cpl	extractionPatterns(bodyPart, congestion , runny _ 0.985915133090727)	0.985915133090727
coupled_cpl	extractionPatterns(bodyPart, _ crinkled as 0.7297297637642488)	0.7297297637642488
coupled_cpl	extractionPatterns(bodyPart, _ darted around 0.5174822779170105)	0.5174822779170105
coupled_cpl	extractionPatterns(bodyPart, diploid number of _ 0.6666667387387801)	0.6666667387387801
coupled_cpl	extractionPatterns(bodyPart, _ do the walking 0.5146768762443207)	0.5146768762443207
coupled_cpl	extractionPatterns(bodyPart, extra set of _ 0.26709683725189315)	0.26709683725189315
coupled_cpl	extractionPatterns(bodyPart, eyes , runny _ 0.9493668407570365)	0.9493668407570365
coupled_cpl	extractionPatterns(bodyPart, _ fixed on 0.32146198014863225)	0.32146198014863225
coupled_cpl	extractionPatterns(bodyPart, _ flashed with 0.5464480693187597)	0.5464480693187597
coupled_cpl	extractionPatterns(bodyPart, _ glinted with 0.6951219369206474)	0.6951219369206474
coupled_cpl	extractionPatterns(bodyPart, hair , dark _ 0.541666922813532)	0.541666922813532
coupled_cpl	extractionPatterns(bodyPart, _ lifted the corners 0.7428567888619764)	0.7428567888619764
coupled_cpl	extractionPatterns(bodyPart, _ locked on 0.29640278189309965)	0.29640278189309965
coupled_cpl	extractionPatterns(bodyPart, _ narrowed as 0.7480518389499545)	0.7480518389499545
coupled_cpl	extractionPatterns(bodyPart, _ narrowed at 0.5460121777033292)	0.5460121777033292
coupled_cpl	extractionPatterns(bodyPart, _ narrowed in 0.5171429208639802)	0.5171429208639802
coupled_cpl	extractionPatterns(bodyPart, pair of homologous _ 0.5806454206001117)	0.5806454206001117
coupled_cpl	extractionPatterns(bodyPart, pair of human _ 0.511363802407469)	0.511363802407469
coupled_cpl	extractionPatterns(bodyPart, _ peeled for 0.948673107186955)	0.948673107186955
coupled_cpl	extractionPatterns(bodyPart, people with open _ 0.5084746079204573)	0.5084746079204573
coupled_cpl	extractionPatterns(bodyPart, _ quirked at 0.5806454206001117)	0.5806454206001117
coupled_cpl	extractionPatterns(bodyPart, _ remained fixed on 0.8269227485419535)	0.8269227485419535
coupled_cpl	extractionPatterns(bodyPart, _ shook as 0.4492957150041093)	0.4492957150041093
coupled_cpl	extractionPatterns(bodyPart, sore aching _ 0.611111407559835)	0.611111407559835
coupled_cpl	extractionPatterns(bodyPart, _ sparkled as 0.7319588371526511)	0.7319588371526511
coupled_cpl	extractionPatterns(bodyPart, _ sparkled at 0.5192306926842682)	0.5192306926842682
coupled_cpl	extractionPatterns(bodyPart, _ sparkled with 0.5440560523641973)	0.5440560523641973
coupled_cpl	extractionPatterns(bodyPart, _ tightened on 0.30676325047240255)	0.30676325047240255
coupled_cpl	extractionPatterns(bodyPart, tired aching _ 0.39024403686422865)	0.39024403686422865
coupled_cpl	extractionPatterns(bodyPart, tired , aching _ 0.7857143303561276)	0.7857143303561276
coupled_cpl	extractionPatterns(bodyPart, _ twinkled as 0.8839285901329462)	0.8839285901329462
coupled_cpl	extractionPatterns(bodyPart, _ twinkled with 0.7741938380417579)	0.7741938380417579
coupled_cpl	extractionPatterns(bodyPart, _ twitched at 0.5454544383110917)	0.5454544383110917
coupled_cpl	extractionPatterns(bodyPart, _ was amputated after 0.6249997682786277)	0.6249997682786277
coupled_cpl	extractionPatterns(bodyPart, _ welled with 0.9811322667637189)	0.9811322667637189
coupled_cpl	extractionPatterns(bodyPart, _ were aching from 0.41791049340360453)	0.41791049340360453
coupled_cpl	extractionPatterns(bodyPart, _ were a little sore 0.5833330420941402)	0.5833330420941402
coupled_cpl	extractionPatterns(bodyPart, _ were burning from 0.6410255264496549)	0.6410255264496549
coupled_cpl	extractionPatterns(bodyPart, _ were fixed on 0.7049178554857469)	0.7049178554857469
coupled_cpl	extractionPatterns(bodyPart, _ were fixed upon 0.6923075400867749)	0.6923075400867749
coupled_cpl	extractionPatterns(bodyPart, _ were hurting from 0.6190476687335507)	0.6190476687335507
coupled_cpl	extractionPatterns(bodyPart, _ were locked on 0.7586209753731393)	0.7586209753731393
coupled_cpl	extractionPatterns(bodyPart, _ widened as 0.7008313540448314)	0.7008313540448314
coupled_cpl	extractionPatterns(bodyPart, _ widened at 0.785992522466172)	0.785992522466172
coupled_cpl	extractionPatterns(bodyPart, _ widened in 0.7623420038779789)	0.7623420038779789
coupled_cpl	extractionPatterns(bodyPart, _ widened with 0.6712329727239857)	0.6712329727239857
coupled_cpl	extractionPatterns(bodyPart, women with large _ 0.507142626680961)	0.507142626680961
coupled_cpl	extractionPatterns(bodyPart, world with open _ 0.35365868415924534)	0.35365868415924534
coupled_cpl	extractionPatterns(building, _ are a list 0.515774306338861)	0.515774306338861
coupled_cpl	extractionPatterns(building, _ are built of 0.08893282228907565)	0.08893282228907565
coupled_cpl	extractionPatterns(building, _ are descriptions 0.43844714953917263)	0.43844714953917263
coupled_cpl	extractionPatterns(building, _ are excerpts 0.5738581721730948)	0.5738581721730948
coupled_cpl	extractionPatterns(building, _ are photos 0.3865279878472774)	0.3865279878472774
coupled_cpl	extractionPatterns(building, _ are the books 0.4053809648754028)	0.4053809648754028
coupled_cpl	extractionPatterns(building, _ are the details 0.6403854617142991)	0.6403854617142991
coupled_cpl	extractionPatterns(building, _ are the files 0.503246585189706)	0.503246585189706
coupled_cpl	extractionPatterns(building, _ are the folks 0.4131035463049794)	0.4131035463049794
coupled_cpl	extractionPatterns(building, _ are the images 0.3903345839838409)	0.3903345839838409
coupled_cpl	extractionPatterns(building, _ are the kinds 0.6358287582057246)	0.6358287582057246
coupled_cpl	extractionPatterns(building, _ are the links 0.5029764143208298)	0.5029764143208298
coupled_cpl	extractionPatterns(building, _ are the options 0.3999998927496764)	0.3999998927496764
coupled_cpl	extractionPatterns(building, _ are the people 0.2652562338429558)	0.2652562338429558
coupled_cpl	extractionPatterns(building, _ are the programs 0.3769231343454108)	0.3769231343454108
coupled_cpl	extractionPatterns(building, _ are the rules 0.4840708493615689)	0.4840708493615689
coupled_cpl	extractionPatterns(building, _ are the steps 0.6719267146408193)	0.6719267146408193
coupled_cpl	extractionPatterns(building, _ are the stories 0.25629734618412353)	0.25629734618412353
coupled_cpl	extractionPatterns(building, _ are the things 0.3154654852418177)	0.3154654852418177
coupled_cpl	extractionPatterns(building, _ are the times 0.45550253362655385)	0.45550253362655385
coupled_cpl	extractionPatterns(building, _ are the words 0.3145418950839065)	0.3145418950839065
coupled_cpl	extractionPatterns(building, baseball game at _ 0.10576919124782491)	0.10576919124782491
coupled_cpl	extractionPatterns(building, baseball games at _ 0.11111106414847875)	0.11111106414847875
coupled_cpl	extractionPatterns(building, bleachers at _ 0.10169491267908454)	0.10169491267908454
coupled_cpl	extractionPatterns(building, _ constructed after 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(building, construction of many _ 0.186956557864674)	0.186956557864674
coupled_cpl	extractionPatterns(building, friendly confines of _ 0.08135589364002602)	0.08135589364002602
coupled_cpl	extractionPatterns(building, home opener at _ 0.22631577962146188)	0.22631577962146188
coupled_cpl	extractionPatterns(building, _ is a complete list 0.42845267090864514)	0.42845267090864514
coupled_cpl	extractionPatterns(building, _ is a listing 0.48095719717410085)	0.48095719717410085
coupled_cpl	extractionPatterns(building, _ is an excerpt 0.522095895561249)	0.522095895561249
coupled_cpl	extractionPatterns(building, _ is an outline 0.3948718488547465)	0.3948718488547465
coupled_cpl	extractionPatterns(building, _ is a photo 0.3836548341579803)	0.3836548341579803
coupled_cpl	extractionPatterns(building, _ is a sample 0.4967819905131115)	0.4967819905131115
coupled_cpl	extractionPatterns(building, _ is a summary 0.4155946054460475)	0.4155946054460475
coupled_cpl	extractionPatterns(building, _ is the link 0.4040692519472364)	0.4040692519472364
coupled_cpl	extractionPatterns(building, _ is the list 0.40277185256938647)	0.40277185256938647
coupled_cpl	extractionPatterns(building, large complex of _ 0.31914906402380705)	0.31914906402380705
coupled_cpl	extractionPatterns(building, number of historic _ 0.30050947341388984)	0.30050947341388984
coupled_cpl	extractionPatterns(building, preservation of historic _ 0.2917368738254537)	0.2917368738254537
coupled_cpl	extractionPatterns(building, roofs of _ 0.07646073025106971)	0.07646073025106971
coupled_cpl	extractionPatterns(building, seating chart of _ 0.12418299936139826)	0.12418299936139826
coupled_cpl	extractionPatterns(building, sellout crowd at _ 0.10457518422511622)	0.10457518422511622
coupled_cpl	extractionPatterns(building, timber framed _ 0.2232558177979026)	0.2232558177979026
coupled_cpl	extractionPatterns(building, venues , including _ 0.07754630788272887)	0.07754630788272887
coupled_cpl	extractionPatterns(building, _ were built of 0.1155844323575174)	0.1155844323575174
coupled_cpl	extractionPatterns(building, _ were erected in 0.1971427881204344)	0.1971427881204344
coupled_cpl	extractionPatterns(building, _ were erected on 0.18627447890430435)	0.18627447890430435
coupled_cpl	extractionPatterns(building, white washed _ 0.21771225919361292)	0.21771225919361292
coupled_cpl	extractionPatterns(building, wood paneled _ 0.2966666977941398)	0.2966666977941398
coupled_cpl	extractionPatterns(celebrity, adaptation starring _ 0.2666666239952886)	0.2666666239952886
coupled_cpl	extractionPatterns(celebrity, all-star cast includes _ 0.2666666239952886)	0.2666666239952886
coupled_cpl	extractionPatterns(celebrity, all-star cast including _ 0.3039214497330906)	0.3039214497330906
coupled_cpl	extractionPatterns(celebrity, back-up dancer for _ 0.047058818605667345)	0.047058818605667345
coupled_cpl	extractionPatterns(celebrity, boss played by _ 0.35294113229229485)	0.35294113229229485
coupled_cpl	extractionPatterns(celebrity, celebrities including _ 0.19486076521378826)	0.19486076521378826
coupled_cpl	extractionPatterns(celebrity, celebrity such as _ 0.2812500915366263)	0.2812500915366263
coupled_cpl	extractionPatterns(celebrity, celebs like _ 0.22088347035251132)	0.22088347035251132
coupled_cpl	extractionPatterns(celebrity, celebs such as _ 0.19402990156840338)	0.19402990156840338
coupled_cpl	extractionPatterns(celebrity, comedy film starring _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(celebrity, complete feature on _ 0.29999994129778657)	0.29999994129778657
coupled_cpl	extractionPatterns(celebrity, detective , played by _ 0.29999994129778657)	0.29999994129778657
coupled_cpl	extractionPatterns(celebrity, _ Do a love match 0.48484840689779973)	0.48484840689779973
coupled_cpl	extractionPatterns(celebrity, documentary , narrated by _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(celebrity, _ enlarge Share 0.3250000314120314)	0.3250000314120314
coupled_cpl	extractionPatterns(celebrity, ensemble cast including _ 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(celebrity, exclusive biography of _ 0.3243244095750028)	0.3243244095750028
coupled_cpl	extractionPatterns(celebrity, famous artists such as _ 0.054347807859510655)	0.054347807859510655
coupled_cpl	extractionPatterns(celebrity, famous movie quote by _ 0.21518976763273095)	0.21518976763273095
coupled_cpl	extractionPatterns(celebrity, favorite actor is _ 0.22727262293734563)	0.22727262293734563
coupled_cpl	extractionPatterns(celebrity, favorite actress is _ 0.32608702023486)	0.32608702023486
coupled_cpl	extractionPatterns(celebrity, featured star is _ 0.2972971902244623)	0.2972971902244623
coupled_cpl	extractionPatterns(celebrity, film stars like _ 0.2750000498617851)	0.2750000498617851
coupled_cpl	extractionPatterns(celebrity, _ gives an astonishing performance 0.294117774006532)	0.294117774006532
coupled_cpl	extractionPatterns(celebrity, Glory starring _ 0.35294113229229485)	0.35294113229229485
coupled_cpl	extractionPatterns(celebrity, _ has fuelled rumours 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(celebrity, _ is a favorite actor 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(celebrity, _ is an outstanding actor 0.29999994129778657)	0.29999994129778657
coupled_cpl	extractionPatterns(celebrity, lawyer played by _ 0.2580644291110625)	0.2580644291110625
coupled_cpl	extractionPatterns(celebrity, lead character played by _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(celebrity, love match with _ 0.294117774006532)	0.294117774006532
coupled_cpl	extractionPatterns(celebrity, main character played by _ 0.2903224723980957)	0.2903224723980957
coupled_cpl	extractionPatterns(celebrity, Man starring _ 0.2580644291110625)	0.2580644291110625
coupled_cpl	extractionPatterns(celebrity, motion picture starring _ 0.20560755499327651)	0.20560755499327651
coupled_cpl	extractionPatterns(celebrity, movie staring _ 0.18181819858880538)	0.18181819858880538
coupled_cpl	extractionPatterns(celebrity, movie stars like _ 0.19999998248682085)	0.19999998248682085
coupled_cpl	extractionPatterns(celebrity, movie stars such as _ 0.24137923332822347)	0.24137923332822347
coupled_cpl	extractionPatterns(celebrity, photosGreat looking _ 0.2666666239952886)	0.2666666239952886
coupled_cpl	extractionPatterns(celebrity, physical compatibility with _ 0.3250000314120314)	0.3250000314120314
coupled_cpl	extractionPatterns(celebrity, _ plays a detective 0.047058818605667345)	0.047058818605667345
coupled_cpl	extractionPatterns(celebrity, remake starring _ 0.2972971902244623)	0.2972971902244623
coupled_cpl	extractionPatterns(celebrity, _ s career 0.047058818605667345)	0.047058818605667345
coupled_cpl	extractionPatterns(celebrity, show staring _ 0.37500009487940933)	0.37500009487940933
coupled_cpl	extractionPatterns(celebrity, _ s publicist 0.294117774006532)	0.294117774006532
coupled_cpl	extractionPatterns(celebrity, stars opposite _ 0.2972971902244623)	0.2972971902244623
coupled_cpl	extractionPatterns(celebrity, such actors as _ 0.327731042288184)	0.327731042288184
coupled_cpl	extractionPatterns(celebrity, such actresses as _ 0.30769230656666036)	0.30769230656666036
coupled_cpl	extractionPatterns(celebrity, supermodels like _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(celebrity, superstars such as _ 0.052631577850865294)	0.052631577850865294
coupled_cpl	extractionPatterns(celebrity, velvet painting of _ 0.44444454054060095)	0.44444454054060095
coupled_cpl	extractionPatterns(ceo, entrepreneurs like _ 0.004132230273374892)	0.004132230273374892
coupled_cpl	extractionPatterns(ceo, entrepreneurs such as _ 0.023809514721034312)	0.023809514721034312
coupled_cpl	extractionPatterns(ceo, giant owned by _ 0.05999998300560459)	0.05999998300560459
coupled_cpl	extractionPatterns(ceo, gurus such as _ 0.07865170274986467)	0.07865170274986467
coupled_cpl	extractionPatterns(ceo, interview quotes from _ 0.03999999299472865)	0.03999999299472865
coupled_cpl	extractionPatterns(ceo, late wife of _ 0.03999999299472865)	0.03999999299472865
coupled_cpl	extractionPatterns(ceo, major interview with _ 0.03999999299472865)	0.03999999299472865
coupled_cpl	extractionPatterns(ceoOf, arg1 announced arg2 7.824724005724284E-5)	7.824724005724284E-5
coupled_cpl	extractionPatterns(ceoOf, arg1 does at arg2 5.434781796755663E-4)	5.434781796755663E-4
coupled_cpl	extractionPatterns(ceoOf, arg1 for a job at arg2 2.6385232139222064E-4)	2.6385232139222064E-4
coupled_cpl	extractionPatterns(ceoOf, arg1 founded arg2 2.971138973248008E-4)	2.971138973248008E-4
coupled_cpl	extractionPatterns(ceoOf, arg1 has said that arg2 8.152171813817121E-4)	8.152171813817121E-4
coupled_cpl	extractionPatterns(ceoOf, arg1 has used arg2 1.2103606487009318E-4)	1.2103606487009318E-4
coupled_cpl	extractionPatterns(ceoOf, arg1 is the founder of arg2 4.5320635790148026E-4)	4.5320635790148026E-4
coupled_cpl	extractionPatterns(ceoOf, arg1 launched arg2 1.0565980624383913E-4)	1.0565980624383913E-4
coupled_cpl	extractionPatterns(ceoOf, arg1 leaving arg2 1.5961689821710726E-4)	1.5961689821710726E-4
coupled_cpl	extractionPatterns(ceoOf, arg1 ran arg2 8.618089849810963E-5)	8.618089849810963E-5
coupled_cpl	extractionPatterns(ceoOf, arg1 said arg2 2.9676709847637066E-5)	2.9676709847637066E-5
coupled_cpl	extractionPatterns(ceoOf, arg1 says arg2 5.021087104650111E-5)	5.021087104650111E-5
coupled_cpl	extractionPatterns(ceoOf, arg1 says that arg2 4.700023294452539E-5)	4.700023294452539E-5
coupled_cpl	extractionPatterns(ceoOf, arg1 started arg2 2.1020548619099627E-4)	2.1020548619099627E-4
coupled_cpl	extractionPatterns(ceoOf, arg1 talking about arg2 9.286776113340555E-5)	9.286776113340555E-5
coupled_cpl	extractionPatterns(ceoOf, arg1 the founder of arg2 9.286776113340555E-5)	9.286776113340555E-5
coupled_cpl	extractionPatterns(ceoOf, arg1 unveiled arg2 2.6385232139222064E-4)	2.6385232139222064E-4
coupled_cpl	extractionPatterns(ceoOf, arg2 boss arg1 0.003622217035007006)	0.003622217035007006
coupled_cpl	extractionPatterns(ceoOf, arg2 chairman arg1 0.001232894034122008)	0.001232894034122008
coupled_cpl	extractionPatterns(ceoOf, arg2 chief arg1 0.0011199715452776167)	0.0011199715452776167
coupled_cpl	extractionPatterns(ceoOf, arg2 chief executive arg1 0.04509467997835612)	0.04509467997835612
coupled_cpl	extractionPatterns(ceoOf, arg2 chief executive officer arg1 0.0060215053065319464)	0.0060215053065319464
coupled_cpl	extractionPatterns(ceoOf, arg2 creator arg1 7.867822747360272E-4)	7.867822747360272E-4
coupled_cpl	extractionPatterns(ceoOf, arg2 founder and chairman arg1 9.454032518082904E-4)	9.454032518082904E-4
coupled_cpl	extractionPatterns(ceoOf, arg2 founder arg1 0.01954933516567213)	0.01954933516567213
coupled_cpl	extractionPatterns(ceoOf, arg2 guru arg1 3.9577843930144825E-4)	3.9577843930144825E-4
coupled_cpl	extractionPatterns(ceoOf, arg2 head arg1 2.6186223843196674E-4)	2.6186223843196674E-4
coupled_cpl	extractionPatterns(ceoOf, arg2 head honcho arg1 0.0012903226185204484)	0.0012903226185204484
coupled_cpl	extractionPatterns(ceoOf, arg2 led to arg1 4.683072749887477E-5)	4.683072749887477E-5
coupled_cpl	extractionPatterns(ceoOf, arg2 magnate arg1 7.090524902283314E-4)	7.090524902283314E-4
coupled_cpl	extractionPatterns(ceoOf, arg2 owner arg1 7.37499677524025E-5)	7.37499677524025E-5
coupled_cpl	extractionPatterns(ceoOf, arg2 supremo arg1 0.0014181047244037279)	0.0014181047244037279
coupled_cpl	extractionPatterns(ceoOf, arg2 tycoon arg1 2.4207208603165974E-4)	2.4207208603165974E-4
coupled_cpl	extractionPatterns(ceoOf, arg2 was founded in DDDD by arg1 2.720719512486049E-4)	2.720719512486049E-4
coupled_cpl	extractionPatterns(ceoOf, arg2 was started by arg1 2.6385232139222064E-4)	2.6385232139222064E-4
coupled_cpl	extractionPatterns(city, agency based in _ 0.4880155543348284)	0.4880155543348284
coupled_cpl	extractionPatterns(city, archbishop of _ 0.5531915245936818)	0.5531915245936818
coupled_cpl	extractionPatterns(city, beautiful city of _ 0.4963599052328325)	0.4963599052328325
coupled_cpl	extractionPatterns(city, cities including _ 0.28252789214861956)	0.28252789214861956
coupled_cpl	extractionPatterns(city, city center of _ 0.4618422021643435)	0.4618422021643435
coupled_cpl	extractionPatterns(city, city centre of _ 0.4829930570840808)	0.4829930570840808
coupled_cpl	extractionPatterns(city, city like _ 0.4110181109027268)	0.4110181109027268
coupled_cpl	extractionPatterns(city, city limits of _ 0.4542252766202171)	0.4542252766202171
coupled_cpl	extractionPatterns(city, company , based in _ 0.4600675281256269)	0.4600675281256269
coupled_cpl	extractionPatterns(city, company based in _ 0.4668772051002114)	0.4668772051002114
coupled_cpl	extractionPatterns(city, company headquartered in _ 0.4966195693595196)	0.4966195693595196
coupled_cpl	extractionPatterns(city, company is headquartered in _ 0.48238728100144146)	0.48238728100144146
coupled_cpl	extractionPatterns(city, consultant based in _ 0.49650337397567956)	0.49650337397567956
coupled_cpl	extractionPatterns(city, corporate headquarters in _ 0.4929226568026888)	0.4929226568026888
coupled_cpl	extractionPatterns(city, dealer located in _ 0.5091956271613689)	0.5091956271613689
coupled_cpl	extractionPatterns(city, dealers near _ 0.41243857227228387)	0.41243857227228387
coupled_cpl	extractionPatterns(city, drive north of _ 0.45479432281513177)	0.45479432281513177
coupled_cpl	extractionPatterns(city, embassy in _ 0.4947409434365015)	0.4947409434365015
coupled_cpl	extractionPatterns(city, entire city of _ 0.491150343245827)	0.491150343245827
coupled_cpl	extractionPatterns(city, firm based in _ 0.2826242505880225)	0.2826242505880225
coupled_cpl	extractionPatterns(city, firm headquartered in _ 0.4561644037067726)	0.4561644037067726
coupled_cpl	extractionPatterns(city, firm located in _ 0.48871635936264674)	0.48871635936264674
coupled_cpl	extractionPatterns(city, former mayor of _ 0.4708950658097455)	0.4708950658097455
coupled_cpl	extractionPatterns(city, freelance writer in _ 0.5230767898385119)	0.5230767898385119
coupled_cpl	extractionPatterns(city, great city of _ 0.41832317468530467)	0.41832317468530467
coupled_cpl	extractionPatterns(city, head office in _ 0.4745937993822386)	0.4745937993822386
coupled_cpl	extractionPatterns(city, headquarters are in _ 0.45274283855611686)	0.45274283855611686
coupled_cpl	extractionPatterns(city, headquarters are located in _ 0.4796459746589162)	0.4796459746589162
coupled_cpl	extractionPatterns(city, headquarters is in _ 0.48534563129884245)	0.48534563129884245
coupled_cpl	extractionPatterns(city, headquarters is located in _ 0.4657836607361372)	0.4657836607361372
coupled_cpl	extractionPatterns(city, historic city of _ 0.47960089005630774)	0.47960089005630774
coupled_cpl	extractionPatterns(city, home city of _ 0.5037314450738076)	0.5037314450738076
coupled_cpl	extractionPatterns(city, hour north of _ 0.5099559140700903)	0.5099559140700903
coupled_cpl	extractionPatterns(city, _ is a beautiful city 0.47399429178843794)	0.47399429178843794
coupled_cpl	extractionPatterns(city, _ is a great city 0.47013283337810363)	0.47013283337810363
coupled_cpl	extractionPatterns(city, journalist based in _ 0.5356640964974205)	0.5356640964974205
coupled_cpl	extractionPatterns(city, layover in _ 0.45721707539536527)	0.45721707539536527
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and all major cities of arg2 0.0312499969624916)	0.0312499969624916
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and all regions of arg2 0.07812501335356142)	0.07812501335356142
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and anywhere in arg2 0.040540532616327535)	0.040540532616327535
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and distributed throughout arg2 0.03539824628646211)	0.03539824628646211
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and many other cities in arg2 0.05405403957212513)	0.05405403957212513
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and much of central arg2 0.040540532616327535)	0.040540532616327535
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and other cities across arg2 0.026548660089672785)	0.026548660089672785
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and other cities around arg2 0.041095896677272314)	0.041095896677272314
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and other cities in arg2 0.040716616583019026)	0.040716616583019026
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and other cities of arg2 0.06870227261667694)	0.06870227261667694
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and other destinations in arg2 0.0566037523519292)	0.0566037523519292
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and other locations in arg2 0.018348618379252165)	0.018348618379252165
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and other major cities in arg2 0.09734508854030802)	0.09734508854030802
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and other major cities of arg2 0.041095896677272314)	0.041095896677272314
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and other towns of arg2 0.041095896677272314)	0.041095896677272314
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and the south of arg2 0.09600000840137324)	0.09600000840137324
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and tourist resorts in arg2 0.011976043495291949)	0.011976043495291949
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and traveled around arg2 0.011976043495291949)	0.011976043495291949
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and traveled extensively throughout arg2 0.041095896677272314)	0.041095896677272314
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 as the capital of arg2 0.09090911570894615)	0.09090911570894615
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 as well as all over arg2 0.1578946879734282)	0.1578946879734282
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 became the capital of arg2 0.042910445407197836)	0.042910445407197836
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 became the largest city in arg2 0.041095896677272314)	0.041095896677272314
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 becomes the capital of arg2 0.08988762499346685)	0.08988762499346685
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 being the capital of arg2 0.06741572362948918)	0.06741572362948918
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 but also throughout arg2 0.030927825458824366)	0.030927825458824366
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 has been the capital of arg2 0.046874990376167956)	0.046874990376167956
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 is a capital of arg2 0.06849311840509602)	0.06849311840509602
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 is also the capital of arg2 0.0547945249330687)	0.0547945249330687
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 is capital of arg2 0.1052631366954227)	0.1052631366954227
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 is the capital city of arg2 0.0956113253439899)	0.0956113253439899
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 is the capital of arg2 0.08382298710341504)	0.08382298710341504
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 is the commercial capital of arg2 0.19298245518242063)	0.19298245518242063
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 is the financial capital of arg2 0.07352939652514912)	0.07352939652514912
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 is the largest city of arg2 0.05882354965036912)	0.05882354965036912
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 is the only city in arg2 0.014925367453597592)	0.014925367453597592
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 is the political center of arg2 0.046874990376167956)	0.046874990376167956
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 served as the capital of arg2 0.11666671486946849)	0.11666671486946849
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 the capital city of arg2 0.05882354965036912)	0.05882354965036912
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 The capital city of arg2 0.06521739833615159)	0.06521739833615159
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 the capital of arg2 0.07338307175512745)	0.07338307175512745
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 the capitol of arg2 0.041095896677272314)	0.041095896677272314
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 The second largest city in arg2 0.02941175072400807)	0.02941175072400807
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 was the largest city in arg2 0.044117665434180164)	0.044117665434180164
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 Airways flies from arg1 0.06249998263998874)	0.06249998263998874
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 and its capital arg1 0.06410255860612148)	0.06410255860612148
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 and sacked arg1 0.060869563957874434)	0.060869563957874434
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 in DDDD and lived in arg1 0.017964063300875903)	0.017964063300875903
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 in DDDD and settled in arg1 0.0312499969624916)	0.0312499969624916
coupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 Local time in arg1 0.040540532616327535)	0.040540532616327535
coupled_cpl	extractionPatterns(cityLocatedInState, arg1 and across the state of arg2 0.14999999773288222)	0.14999999773288222
coupled_cpl	extractionPatterns(cityLocatedInState, arg1 and other areas throughout arg2 0.14999999773288222)	0.14999999773288222
coupled_cpl	extractionPatterns(cityLocatedInState, arg1 and serving all of arg2 0.11111106414847875)	0.11111106414847875
coupled_cpl	extractionPatterns(cityLocatedInState, arg1 and the entire state of arg2 0.06521739833615159)	0.06521739833615159
coupled_cpl	extractionPatterns(cityLocatedInState, arg1 and the great state of arg2 0.3500000435745399)	0.3500000435745399
coupled_cpl	extractionPatterns(cityLocatedInState, arg1 and throughout the state of arg2 0.14285716415076063)	0.14285716415076063
coupled_cpl	extractionPatterns(cityLocatedInState, arg1 and to the state of arg2 0.11111106414847875)	0.11111106414847875
coupled_cpl	extractionPatterns(cityLocatedInState, arg1 area and the rest of arg2 0.11111106414847875)	0.11111106414847875
coupled_cpl	extractionPatterns(cityLocatedInState, arg1 area and the state of arg2 0.13888889250305694)	0.13888889250305694
coupled_cpl	extractionPatterns(cityLocatedInState, arg1 area and western arg2 0.11111106414847875)	0.11111106414847875
coupled_cpl	extractionPatterns(cityLocatedInState, arg1 Honda dealer in arg2 0.08333330414900512)	0.08333330414900512
coupled_cpl	extractionPatterns(cityLocatedInState, arg1 is the capitol of arg2 0.041095896677272314)	0.041095896677272314
coupled_cpl	extractionPatterns(cityLocatedInState, arg1 Metro area and arg2 0.08333330414900512)	0.08333330414900512
coupled_cpl	extractionPatterns(cityLocatedInState, arg1 Metro area in arg2 0.08333330414900512)	0.08333330414900512
coupled_cpl	extractionPatterns(cityLocatedInState, arg1 metro area in arg2 0.11111106414847875)	0.11111106414847875
coupled_cpl	extractionPatterns(cityLocatedInState, arg1 Metro area of arg2 0.13888889250305694)	0.13888889250305694
coupled_cpl	extractionPatterns(cityLocatedInState, arg1 metropolitan area and throughout arg2 0.11111106414847875)	0.11111106414847875
coupled_cpl	extractionPatterns(cityLocatedInState, arg1 Schools and the state of arg2 0.027397267413383004)	0.027397267413383004
coupled_cpl	extractionPatterns(cityLocatedInState, arg1 Toyota dealer in arg2 0.11111106414847875)	0.11111106414847875
coupled_cpl	extractionPatterns(cityLocatedInState, arg1 wedding limousine service companies in arg2 0.19999998248682085)	0.19999998248682085
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 access numbers in arg1 0.11627909340226542)	0.11627909340226542
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 approximately DD miles east of arg1 0.11999994434402382)	0.11999994434402382
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 approximately DD miles south of arg1 0.03658536433888332)	0.03658536433888332
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 area code DDD connections in arg1 0.10256413179587653)	0.10256413179587653
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 a suburb of arg1 0.1465517017228683)	0.1465517017228683
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 chocolate fountain rentals in arg1 0.08163264791761125)	0.08163264791761125
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 chocolate fountain rentals including arg1 0.041095896677272314)	0.041095896677272314
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 connection numbers in arg1 0.14999999773288222)	0.14999999773288222
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 Convention Center in downtown arg1 0.18840582482267443)	0.18840582482267443
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 corporation located in arg1 0.08163264791761125)	0.08163264791761125
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 Democratic Party convention in arg1 0.13888889250305694)	0.13888889250305694
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 dialup connections in arg1 0.1282050940635361)	0.1282050940635361
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 dial up numbers in arg1 0.16279069224343598)	0.16279069224343598
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 Home inspection for arg1 0.13888889250305694)	0.13888889250305694
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 Hotels Planning your trip to arg1 0.13043477312100557)	0.13043477312100557
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 including cities such as arg1 0.08928569449116727)	0.08928569449116727
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 internet access numbers in arg1 0.13888889250305694)	0.13888889250305694
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 map include arg1 0.2777777348505767)	0.2777777348505767
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 native who grew up in arg1 0.10256413179587653)	0.10256413179587653
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 Oakwood found DD properties in arg1 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 outside metro arg1 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 Real Estate areas include arg1 0.11111106414847875)	0.11111106414847875
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 singles go here for arg1 0.1521739506964497)	0.1521739506964497
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 state court in arg1 0.11627909340226542)	0.11627909340226542
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 survey excludes students from arg1 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 The table below shows arg1 0.1419354361183337)	0.1419354361183337
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 USA covering arg1 0.03319503375305878)	0.03319503375305878
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 which is a suburb of arg1 0.13461532666698936)	0.13461532666698936
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 which is just north of arg1 0.09259260501205399)	0.09259260501205399
coupled_cpl	extractionPatterns(cityLocatedInState, arg2 which is just south of arg1 0.08888890032448334)	0.08888890032448334
coupled_cpl	extractionPatterns(city, old city of _ 0.47076935361049976)	0.47076935361049976
coupled_cpl	extractionPatterns(city, organization based in _ 0.2849621256501743)	0.2849621256501743
coupled_cpl	extractionPatterns(city, photographer based in _ 0.5188813679890366)	0.5188813679890366
coupled_cpl	extractionPatterns(city, private practice in _ 0.46258497924475706)	0.46258497924475706
coupled_cpl	extractionPatterns(city, regional office in _ 0.488111702869352)	0.488111702869352
coupled_cpl	extractionPatterns(city, slums of _ 0.45914831259131517)	0.45914831259131517
coupled_cpl	extractionPatterns(city, start near _ 0.4908439610328336)	0.4908439610328336
coupled_cpl	extractionPatterns(city, suburb of _ 0.4613215378701711)	0.4613215378701711
coupled_cpl	extractionPatterns(city, suburbs of _ 0.329011030968239)	0.329011030968239
coupled_cpl	extractionPatterns(city, team based in _ 0.4243392609264633)	0.4243392609264633
coupled_cpl	extractionPatterns(city, train ride from _ 0.4823530327203187)	0.4823530327203187
coupled_cpl	extractionPatterns(city, writer based in _ 0.325646448477121)	0.325646448477121
coupled_cpl	extractionPatterns(city, writer living in _ 0.5113709615508166)	0.5113709615508166
coupled_cpl	extractionPatterns(clothing, _ affecting the parent-child relationship 0.9032255303445063)	0.9032255303445063
coupled_cpl	extractionPatterns(clothing, blazer , white _ 0.833332963995044)	0.833332963995044
coupled_cpl	extractionPatterns(clothing, blouse , grey _ 0.833332963995044)	0.833332963995044
coupled_cpl	extractionPatterns(clothing, boots , blue _ 0.8518515537677975)	0.8518515537677975
coupled_cpl	extractionPatterns(clothing, boots , long _ 0.8113205907154516)	0.8113205907154516
coupled_cpl	extractionPatterns(clothing, clothing such as long _ 0.9411761146508295)	0.9411761146508295
coupled_cpl	extractionPatterns(clothing, clothing with long _ 0.9117649977665605)	0.9117649977665605
coupled_cpl	extractionPatterns(clothing, code is black _ 0.8181815690145253)	0.8181815690145253
coupled_cpl	extractionPatterns(clothing, dresses , formal _ 0.5000000902799808)	0.5000000902799808
coupled_cpl	extractionPatterns(clothing, dresses prom _ 0.512711997419056)	0.512711997419056
coupled_cpl	extractionPatterns(clothing, dress with detachable _ 0.8823530673123673)	0.8823530673123673
coupled_cpl	extractionPatterns(clothing, dry pair of _ 0.5569621470398292)	0.5569621470398292
coupled_cpl	extractionPatterns(clothing, eye protection , long _ 0.9166670122405591)	0.9166670122405591
coupled_cpl	extractionPatterns(clothing, gloves , long _ 0.7894735089980961)	0.7894735089980961
coupled_cpl	extractionPatterns(clothing, hats , long _ 0.7999996410514483)	0.7999996410514483
coupled_cpl	extractionPatterns(clothing, jacket , blue _ 0.6885247594652275)	0.6885247594652275
coupled_cpl	extractionPatterns(clothing, jacket , long _ 0.7999996410514483)	0.7999996410514483
coupled_cpl	extractionPatterns(clothing, long pants , long _ 0.880597169457171)	0.880597169457171
coupled_cpl	extractionPatterns(clothing, long pants , sturdy _ 0.7894735089980961)	0.7894735089980961
coupled_cpl	extractionPatterns(clothing, long sleeves , long _ 0.9767446718891476)	0.9767446718891476
coupled_cpl	extractionPatterns(clothing, men in dark _ 0.6756757349838024)	0.6756757349838024
coupled_cpl	extractionPatterns(clothing, men in short _ 0.7857143303561276)	0.7857143303561276
coupled_cpl	extractionPatterns(clothing, pair of dry _ 0.6718749782756677)	0.6718749782756677
coupled_cpl	extractionPatterns(clothing, pants , white _ 0.5514704626101659)	0.5514704626101659
coupled_cpl	extractionPatterns(clothing, scientists in white _ 0.821428813130723)	0.821428813130723
coupled_cpl	extractionPatterns(clothing, shirt , baggy _ 0.7894735089980961)	0.7894735089980961
coupled_cpl	extractionPatterns(clothing, shirt , blue _ 0.7176473403687296)	0.7176473403687296
coupled_cpl	extractionPatterns(clothing, shirt , dark blue _ 0.8181815690145253)	0.8181815690145253
coupled_cpl	extractionPatterns(clothing, shirt , long _ 0.8705883774491275)	0.8705883774491275
coupled_cpl	extractionPatterns(clothing, shirts , black _ 0.6966292028156966)	0.6966292028156966
coupled_cpl	extractionPatterns(clothing, shirts , long _ 0.7439027240067309)	0.7439027240067309
coupled_cpl	extractionPatterns(clothing, shirts , short _ 0.8421054795172145)	0.8421054795172145
coupled_cpl	extractionPatterns(clothing, shirt with long _ 0.80357159006104)	0.80357159006104
coupled_cpl	extractionPatterns(clothing, shirt with short _ 0.8750003435465248)	0.8750003435465248
coupled_cpl	extractionPatterns(clothing, shoes , bathing _ 0.8421054795172145)	0.8421054795172145
coupled_cpl	extractionPatterns(clothing, shoes , long _ 0.8133335361485979)	0.8133335361485979
coupled_cpl	extractionPatterns(clothing, shorts , bathing _ 0.8857141590609316)	0.8857141590609316
coupled_cpl	extractionPatterns(clothing, shorts , short _ 0.7999996410514483)	0.7999996410514483
coupled_cpl	extractionPatterns(clothing, shorts , tee _ 0.9687497077422937)	0.9687497077422937
coupled_cpl	extractionPatterns(clothing, silk long _ 0.862068969929546)	0.862068969929546
coupled_cpl	extractionPatterns(clothing, silk walking _ 0.8181815690145253)	0.8181815690145253
coupled_cpl	extractionPatterns(clothing, slacks , dark _ 0.9230766532371499)	0.9230766532371499
coupled_cpl	extractionPatterns(clothing, socks , long _ 0.9038462594798972)	0.9038462594798972
coupled_cpl	extractionPatterns(clothing, suit , white _ 0.7934783687037833)	0.7934783687037833
coupled_cpl	extractionPatterns(clothing, super size gothic _ 0.7857143303561276)	0.7857143303561276
coupled_cpl	extractionPatterns(clothing, supersize gothic _ 0.8181815690145253)	0.8181815690145253
coupled_cpl	extractionPatterns(clothing, ties , black _ 0.833332963995044)	0.833332963995044
coupled_cpl	extractionPatterns(clothing, tops , short _ 0.8163264032626143)	0.8163264032626143
coupled_cpl	extractionPatterns(clothing, wear long _ 0.7837838485695908)	0.7837838485695908
coupled_cpl	extractionPatterns(clothing, white button down _ 0.8113205907154516)	0.8113205907154516
coupled_cpl	extractionPatterns(coach, alum like _ 0.12499994270999265)	0.12499994270999265
coupled_cpl	extractionPatterns(coach, basketball program under _ 0.23076924664463755)	0.23076924664463755
coupled_cpl	extractionPatterns(coach, _ became head coach 0.03267973885484756)	0.03267973885484756
coupled_cpl	extractionPatterns(coach, _ became the first black head coach 0.18181819858880538)	0.18181819858880538
coupled_cpl	extractionPatterns(coach, better coach than _ 0.07500001240843804)	0.07500001240843804
coupled_cpl	extractionPatterns(coach, _ challenged the play 0.07500001240843804)	0.07500001240843804
coupled_cpl	extractionPatterns(coach, _ coached receivers 0.14285716415076063)	0.14285716415076063
coupled_cpl	extractionPatterns(coach, _ coached team 0.15116278144529824)	0.15116278144529824
coupled_cpl	extractionPatterns(coach, coach named _ 0.033333346055407616)	0.033333346055407616
coupled_cpl	extractionPatterns(coach, coach other than _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(coach, coach such as _ 0.19047620506734006)	0.19047620506734006
coupled_cpl	extractionPatterns(coach, defensive assistant under _ 0.30769230656666036)	0.30769230656666036
coupled_cpl	extractionPatterns(coach, defensive coordinator under _ 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(coachesTeam, arg1 guided arg2 7.667238143735149E-5)	7.667238143735149E-5
coupled_cpl	extractionPatterns(coachesTeam, arg1 has led arg2 1.8735356581488303E-4)	1.8735356581488303E-4
coupled_cpl	extractionPatterns(coachesTeam, arg1 has taken arg2 4.536997569477129E-5)	4.536997569477129E-5
coupled_cpl	extractionPatterns(coachesTeam, arg1 is leaving arg2 9.620010652218122E-4)	9.620010652218122E-4
coupled_cpl	extractionPatterns(coachesTeam, arg1 is sticking with arg2 0.01731602336626777)	0.01731602336626777
coupled_cpl	extractionPatterns(coachesTeam, arg1 led arg2 1.1717605623843172E-4)	1.1717605623843172E-4
coupled_cpl	extractionPatterns(coachesTeam, arg1 led the arg2 1.803621110199924E-4)	1.803621110199924E-4
coupled_cpl	extractionPatterns(coachesTeam, arg1 left for arg2 1.869158579233767E-4)	1.869158579233767E-4
coupled_cpl	extractionPatterns(coachesTeam, arg1 took over arg2 1.8735356581488303E-4)	1.8735356581488303E-4
coupled_cpl	extractionPatterns(coachesTeam, arg1 was named head coach of arg2 0.008658004588415225)	0.008658004588415225
coupled_cpl	extractionPatterns(coachesTeam, arg2 after coach arg1 0.02164501727462583)	0.02164501727462583
coupled_cpl	extractionPatterns(coachesTeam, arg2 and coach arg1 0.003077976125787042)	0.003077976125787042
coupled_cpl	extractionPatterns(coachesTeam, arg2 and head coach arg1 0.025000011352850984)	0.025000011352850984
coupled_cpl	extractionPatterns(coachesTeam, arg2 are coached by arg1 0.0018552867734862504)	0.0018552867734862504
coupled_cpl	extractionPatterns(coachesTeam, arg2 basketball coach arg1 0.0027829326423031726)	0.0027829326423031726
coupled_cpl	extractionPatterns(coachesTeam, arg2 coach and general manager arg1 0.003724394465359119)	0.003724394465359119
coupled_cpl	extractionPatterns(coachesTeam, arg2 coach arg1 0.004002120233174086)	0.004002120233174086
coupled_cpl	extractionPatterns(coachesTeam, arg2 fire arg1 5.177992666097682E-5)	5.177992666097682E-5
coupled_cpl	extractionPatterns(coachesTeam, arg2 fired arg1 2.5397899276897334E-4)	2.5397899276897334E-4
coupled_cpl	extractionPatterns(coachesTeam, arg2 football coach arg1 0.028430152195273044)	0.028430152195273044
coupled_cpl	extractionPatterns(coachesTeam, arg2 general manager arg1 0.0029726513914946364)	0.0029726513914946364
coupled_cpl	extractionPatterns(coachesTeam, arg2 head coach arg1 0.0048076926908717345)	0.0048076926908717345
coupled_cpl	extractionPatterns(coachesTeam, arg2 head coach is arg1 0.008658004588415225)	0.008658004588415225
coupled_cpl	extractionPatterns(coachesTeam, arg2 head football coach arg1 0.016759768444236232)	0.016759768444236232
coupled_cpl	extractionPatterns(coachesTeam, arg2 hired arg1 6.550395123172349E-4)	6.550395123172349E-4
coupled_cpl	extractionPatterns(coachesTeam, arg2 signed coach arg1 0.011173180170736085)	0.011173180170736085
coupled_cpl	extractionPatterns(coachesTeam, arg2 under coach arg1 0.0018552867734862504)	0.0018552867734862504
coupled_cpl	extractionPatterns(coachesTeam, arg2 under head coach arg1 0.00651465515978727)	0.00651465515978727
coupled_cpl	extractionPatterns(coachesTeam, arg2 with coach arg1 0.007614210309364691)	0.007614210309364691
coupled_cpl	extractionPatterns(coach, first coach since _ 0.18750008129470605)	0.18750008129470605
coupled_cpl	extractionPatterns(coach, great coach in _ 0.2105262353782364)	0.2105262353782364
coupled_cpl	extractionPatterns(coach, _ has been hearing questions 0.43749981326824455)	0.43749981326824455
coupled_cpl	extractionPatterns(coach, _ has some thinking 0.18181819858880538)	0.18181819858880538
coupled_cpl	extractionPatterns(coach, _ has this team 0.05000001367770143)	0.05000001367770143
coupled_cpl	extractionPatterns(coach, head coach is _ 0.043062186945731114)	0.043062186945731114
coupled_cpl	extractionPatterns(coach, head coach like _ 0.21428572306010352)	0.21428572306010352
coupled_cpl	extractionPatterns(coach, interim coach after _ 0.21428572306010352)	0.21428572306010352
coupled_cpl	extractionPatterns(coach, _ is a bad coach 0.18750008129470605)	0.18750008129470605
coupled_cpl	extractionPatterns(coach, _ is a better coach 0.16129036968565943)	0.16129036968565943
coupled_cpl	extractionPatterns(coach, _ is a defensive guy 0.18181819858880538)	0.18181819858880538
coupled_cpl	extractionPatterns(coach, _ is a former coach 0.05000001367770143)	0.05000001367770143
coupled_cpl	extractionPatterns(coach, _ is a great basketball coach 0.21428572306010352)	0.21428572306010352
coupled_cpl	extractionPatterns(coach, _ is a great coach 0.04301075836702684)	0.04301075836702684
coupled_cpl	extractionPatterns(coach, _ is a helluva coach 0.05000001367770143)	0.05000001367770143
coupled_cpl	extractionPatterns(coach, _ is a married woman 0.3520972018094388)	0.3520972018094388
coupled_cpl	extractionPatterns(coach, _ is a mediocre coach 0.12499994270999265)	0.12499994270999265
coupled_cpl	extractionPatterns(coach, _ is an excellent coach 0.12195123832563648)	0.12195123832563648
coupled_cpl	extractionPatterns(coach, _ is an excellent recruiter 0.14285716415076063)	0.14285716415076063
coupled_cpl	extractionPatterns(coach, _ is another coach 0.23076924664463755)	0.23076924664463755
coupled_cpl	extractionPatterns(coach, _ is a setter 0.18181819858880538)	0.18181819858880538
coupled_cpl	extractionPatterns(coach, _ is a terrible coach 0.2727272683991621)	0.2727272683991621
coupled_cpl	extractionPatterns(coach, _ is the current coach 0.14285716415076063)	0.14285716415076063
coupled_cpl	extractionPatterns(coach, _ is the new coach 0.12121214549655876)	0.12121214549655876
coupled_cpl	extractionPatterns(coach, _ is the new head coach 0.13333333607230202)	0.13333333607230202
coupled_cpl	extractionPatterns(coach, _ is the only coach 0.1411764150638673)	0.1411764150638673
coupled_cpl	extractionPatterns(coach, _ is the right coach 0.14285716415076063)	0.14285716415076063
coupled_cpl	extractionPatterns(coach, job vacated by _ 0.12499994270999265)	0.12499994270999265
coupled_cpl	extractionPatterns(coach, _ knows this team 0.12499994270999265)	0.12499994270999265
coupled_cpl	extractionPatterns(coach, _ led the Steelers 0.16129036968565943)	0.16129036968565943
coupled_cpl	extractionPatterns(coach, _ made this team 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(coach, _ re-entered the building 0.17647059800966608)	0.17647059800966608
coupled_cpl	extractionPatterns(coach, _ resigns as 0.13333333607230202)	0.13333333607230202
coupled_cpl	extractionPatterns(coach, teams coached by _ 0.07500001240843804)	0.07500001240843804
coupled_cpl	extractionPatterns(coach, _ was a better coach 0.21428572306010352)	0.21428572306010352
coupled_cpl	extractionPatterns(coach, _ was named the new head coach 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(coach, _ was ticked at 0.12499994270999265)	0.12499994270999265
coupled_cpl	extractionPatterns(company, brands including _ 0.3148540754596957)	0.3148540754596957
coupled_cpl	extractionPatterns(company, carriers such as _ 0.248397498357024)	0.248397498357024
coupled_cpl	extractionPatterns(company, chains such as _ 0.22492393513535958)	0.22492393513535958
coupled_cpl	extractionPatterns(company, clients such as _ 0.21965942506748715)	0.21965942506748715
coupled_cpl	extractionPatterns(company, companies including _ 0.2206454862679393)	0.2206454862679393
coupled_cpl	extractionPatterns(company, companies , like _ 0.21822972208235777)	0.21822972208235777
coupled_cpl	extractionPatterns(company, company like _ 0.1533742907881338)	0.1533742907881338
coupled_cpl	extractionPatterns(company, company such as _ 0.22131151496460225)	0.22131151496460225
coupled_cpl	extractionPatterns(company, company was acquired by _ 0.2238095079207066)	0.2238095079207066
coupled_cpl	extractionPatterns(company, competitors like _ 0.22005208734369425)	0.22005208734369425
coupled_cpl	extractionPatterns(company, competitors such as _ 0.21870510698880924)	0.21870510698880924
coupled_cpl	extractionPatterns(company, corporation like _ 0.20907295937827758)	0.20907295937827758
coupled_cpl	extractionPatterns(company, corporations including _ 0.22075053851985532)	0.22075053851985532
coupled_cpl	extractionPatterns(company, corporations like _ 0.29509557265772185)	0.29509557265772185
coupled_cpl	extractionPatterns(company, corporations , such as _ 0.2342995158121434)	0.2342995158121434
coupled_cpl	extractionPatterns(company, corporations such as _ 0.2761748774401347)	0.2761748774401347
coupled_cpl	extractionPatterns(company, distribution deal with _ 0.22469642725140862)	0.22469642725140862
coupled_cpl	extractionPatterns(companyEconomicSector, arg1 mainframe arg2 0.0395569449872923)	0.0395569449872923
coupled_cpl	extractionPatterns(companyEconomicSector, arg1 or compatible arg2 0.019230763818874366)	0.019230763818874366
coupled_cpl	extractionPatterns(companyEconomicSector, arg1 systems management arg2 0.020270269968162273)	0.020270269968162273
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 architect at arg1 0.03395585433268591)	0.03395585433268591
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 behemoth arg1 0.026098902900514708)	0.026098902900514708
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 companies from arg1 4.69263084044432E-4)	4.69263084044432E-4
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 companies including arg1 0.021047910235610187)	0.021047910235610187
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 companies like arg1 9.300594956927881E-4)	9.300594956927881E-4
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 companies such as arg1 3.838034443865965E-4)	3.838034443865965E-4
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 company arg1 7.10327869134939E-5)	7.10327869134939E-5
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 company like arg1 0.027186765135428996)	0.027186765135428996
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 company such as arg1 0.0190336654867085)	0.0190336654867085
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 conglomerate arg1 0.037937735598768355)	0.037937735598768355
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 corporations such as arg1 0.020036433252865058)	0.020036433252865058
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 donated by arg1 9.37338663678089E-5)	9.37338663678089E-5
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 engineer at arg1 0.026666664879369802)	0.026666664879369802
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 engineer for arg1 0.019490853007533393)	0.019490853007533393
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 engineers at arg1 0.028318584323020455)	0.028318584323020455
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 engineer with arg1 0.02099928267868446)	0.02099928267868446
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 evangelist at arg1 0.020316031003116054)	0.020316031003116054
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 evangelist for arg1 0.020316031003116054)	0.020316031003116054
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 firm arg1 1.7289069222659555E-4)	1.7289069222659555E-4
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 firms like arg1 0.02083333356058106)	0.02083333356058106
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 firms such as arg1 0.01668653787357361)	0.01668653787357361
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 giant arg1 0.0012666597011818338)	0.0012666597011818338
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 giant like arg1 0.019117655484137158)	0.019117655484137158
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 giants arg1 0.020147420775463352)	0.020147420775463352
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 giants as arg1 0.022587265612169474)	0.022587265612169474
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 giants including arg1 0.023679419112247666)	0.023679419112247666
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 giants like arg1 0.04774194105579069)	0.04774194105579069
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 giants such as arg1 0.028340086287484904)	0.028340086287484904
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 heavyweights arg1 0.020316031003116054)	0.020316031003116054
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 heavyweights such as arg1 0.020533881521325348)	0.020533881521325348
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 leaders including arg1 0.02083333356058106)	0.02083333356058106
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 leaders like arg1 0.025552477507703942)	0.025552477507703942
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 leaders such as arg1 0.03145057540929616)	0.03145057540929616
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 makers like arg1 0.0190336654867085)	0.0190336654867085
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 makers such as arg1 0.02861231670042716)	0.02861231670042716
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 manufacturers including arg1 0.019230763818874366)	0.019230763818874366
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 manufacturers such as arg1 9.385269371551135E-4)	9.385269371551135E-4
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 outlets like arg1 0.0190336654867085)	0.0190336654867085
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 outlets such as arg1 0.021961925149384443)	0.021961925149384443
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 players such as arg1 0.0196749308361744)	0.0196749308361744
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 search leader arg1 0.04553732316217683)	0.04553732316217683
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 software company arg1 0.021857918944733372)	0.021857918944733372
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 vendors including arg1 0.025641016567428433)	0.025641016567428433
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 vendors like arg1 0.019230763818874366)	0.019230763818874366
coupled_cpl	extractionPatterns(companyEconomicSector, arg2 vendors such as arg1 0.02488686810423856)	0.02488686810423856
coupled_cpl	extractionPatterns(company, execs at _ 0.2342995158121434)	0.2342995158121434
coupled_cpl	extractionPatterns(company, firms like _ 0.2297388614722344)	0.2297388614722344
coupled_cpl	extractionPatterns(company, firms such as _ 0.21208227287382908)	0.21208227287382908
coupled_cpl	extractionPatterns(company, giant like _ 0.20959587648235048)	0.20959587648235048
coupled_cpl	extractionPatterns(company, giants like _ 0.14844273767295413)	0.14844273767295413
coupled_cpl	extractionPatterns(company, giants such as _ 0.25874868927998174)	0.25874868927998174
coupled_cpl	extractionPatterns(company, _ has no responsibility 0.22804643693459578)	0.22804643693459578
coupled_cpl	extractionPatterns(company, industry leaders such as _ 0.2702169835375531)	0.2702169835375531
coupled_cpl	extractionPatterns(company, _ is a great company 0.2255771612673409)	0.2255771612673409
coupled_cpl	extractionPatterns(company, makers like _ 0.21780611340145428)	0.21780611340145428
coupled_cpl	extractionPatterns(company, makers such as _ 0.22983261405194078)	0.22983261405194078
coupled_cpl	extractionPatterns(company, manufacturers , including _ 0.21848738514572486)	0.21848738514572486
coupled_cpl	extractionPatterns(company, manufacturers including _ 0.2273189912818352)	0.2273189912818352
coupled_cpl	extractionPatterns(company, manufacturers like _ 0.20502896851453953)	0.20502896851453953
coupled_cpl	extractionPatterns(company, manufacturers such as _ 0.13582676390886705)	0.13582676390886705
coupled_cpl	extractionPatterns(company, manufacturers , such as _ 0.20710051994189463)	0.20710051994189463
coupled_cpl	extractionPatterns(company, product manager at _ 0.2472406809471365)	0.2472406809471365
coupled_cpl	extractionPatterns(company, providers like _ 0.22567282626326418)	0.22567282626326418
coupled_cpl	extractionPatterns(company, retailers , including _ 0.24000008535365014)	0.24000008535365014
coupled_cpl	extractionPatterns(company, retailers including _ 0.28045331578774535)	0.28045331578774535
coupled_cpl	extractionPatterns(company, retailers like _ 0.3153383782650413)	0.3153383782650413
coupled_cpl	extractionPatterns(company, retailers , such as _ 0.25212456702806607)	0.25212456702806607
coupled_cpl	extractionPatterns(company, retailers such as _ 0.30948272631444584)	0.30948272631444584
coupled_cpl	extractionPatterns(company, rivals such as _ 0.21955708762188245)	0.21955708762188245
coupled_cpl	extractionPatterns(company, software engineer at _ 0.22437668724791515)	0.22437668724791515
coupled_cpl	extractionPatterns(company, stores like _ 0.22681739784401367)	0.22681739784401367
coupled_cpl	extractionPatterns(company, stores such as _ 0.22864584521072007)	0.22864584521072007
coupled_cpl	extractionPatterns(company, such clients as _ 0.21978027098085412)	0.21978027098085412
coupled_cpl	extractionPatterns(company, vendors , including _ 0.23066288653982217)	0.23066288653982217
coupled_cpl	extractionPatterns(company, vendors including _ 0.2359736813213767)	0.2359736813213767
coupled_cpl	extractionPatterns(company, vendors like _ 0.2624223631826651)	0.2624223631826651
coupled_cpl	extractionPatterns(company, vendors such as _ 0.15064638646292622)	0.15064638646292622
coupled_cpl	extractionPatterns(company, vendors , such as _ 0.2204408222354815)	0.2204408222354815
coupled_cpl	extractionPatterns(competesWith, arg1 archrival arg2 0.014005600411002066)	0.014005600411002066
coupled_cpl	extractionPatterns(competesWith, arg1 countered arg2 0.006359299812912911)	0.006359299812912911
coupled_cpl	extractionPatterns(competesWith, arg1 had approached arg2 0.006359299812912911)	0.006359299812912911
coupled_cpl	extractionPatterns(competesWith, arg1 has beat arg2 0.010335920743255263)	0.010335920743255263
coupled_cpl	extractionPatterns(competesWith, arg1 has beaten arg2 0.012939003527797114)	0.012939003527797114
coupled_cpl	extractionPatterns(competesWith, arg1 has overtaken arg2 0.006359299812912911)	0.006359299812912911
coupled_cpl	extractionPatterns(competesWith, arg1 has surpassed arg2 0.006359299812912911)	0.006359299812912911
coupled_cpl	extractionPatterns(competesWith, arg1 has topped arg2 0.006722689374290691)	0.006722689374290691
coupled_cpl	extractionPatterns(competesWith, arg1 in direct competition with arg2 0.011494254237409091)	0.011494254237409091
coupled_cpl	extractionPatterns(competesWith, arg1 is afraid that arg2 0.00941176289698395)	0.00941176289698395
coupled_cpl	extractionPatterns(competesWith, arg1 is ahead of arg2 0.006896549947728325)	0.006896549947728325
coupled_cpl	extractionPatterns(competesWith, arg1 is beating arg2 0.006722689374290691)	0.006722689374290691
coupled_cpl	extractionPatterns(competesWith, arg1 is competing with arg2 0.006722689374290691)	0.006722689374290691
coupled_cpl	extractionPatterns(competesWith, arg1 is copying arg2 0.006722689374290691)	0.006722689374290691
coupled_cpl	extractionPatterns(competesWith, arg1 is going after arg2 0.007949128332801269)	0.007949128332801269
coupled_cpl	extractionPatterns(competesWith, arg1 is lagging behind arg2 0.006722689374290691)	0.006722689374290691
coupled_cpl	extractionPatterns(competesWith, arg1 is way ahead of arg2 0.012919893806146065)	0.012919893806146065
coupled_cpl	extractionPatterns(competesWith, arg1 lags behind arg2 0.016304355471863895)	0.016304355471863895
coupled_cpl	extractionPatterns(competesWith, arg1 makes a bid for arg2 0.010335920743255263)	0.010335920743255263
coupled_cpl	extractionPatterns(competesWith, arg1 overtakes arg2 0.015217396484772164)	0.015217396484772164
coupled_cpl	extractionPatterns(competesWith, arg1 overtook arg2 0.008410427280881037)	0.008410427280881037
coupled_cpl	extractionPatterns(competesWith, arg1 takeover of arg2 0.021804519808761393)	0.021804519808761393
coupled_cpl	extractionPatterns(competesWith, arg1 to Yahoo to arg2 0.014005600411002066)	0.014005600411002066
coupled_cpl	extractionPatterns(competesWith, arg1 wants to compete with arg2 0.011737094293842298)	0.011737094293842298
coupled_cpl	extractionPatterns(competesWith, arg1 will overtake arg2 0.028423784554383713)	0.028423784554383713
coupled_cpl	extractionPatterns(competesWith, arg2 archrival arg1 0.014005600411002066)	0.014005600411002066
coupled_cpl	extractionPatterns(competesWith, arg2 countered arg1 0.00941176289698395)	0.00941176289698395
coupled_cpl	extractionPatterns(competesWith, arg2 had approached arg1 0.008658004588415225)	0.008658004588415225
coupled_cpl	extractionPatterns(competesWith, arg2 has beat arg1 0.00941176289698395)	0.00941176289698395
coupled_cpl	extractionPatterns(competesWith, arg2 has beaten arg1 0.012939003527797114)	0.012939003527797114
coupled_cpl	extractionPatterns(competesWith, arg2 has overtaken arg1 0.011299429966259707)	0.011299429966259707
coupled_cpl	extractionPatterns(competesWith, arg2 has surpassed arg1 0.015126047821655173)	0.015126047821655173
coupled_cpl	extractionPatterns(competesWith, arg2 has topped arg1 0.00941176289698395)	0.00941176289698395
coupled_cpl	extractionPatterns(competesWith, arg2 in direct competition with arg1 0.011737094293842298)	0.011737094293842298
coupled_cpl	extractionPatterns(competesWith, arg2 is afraid that arg1 0.00941176289698395)	0.00941176289698395
coupled_cpl	extractionPatterns(competesWith, arg2 is ahead of arg1 0.006896549947728325)	0.006896549947728325
coupled_cpl	extractionPatterns(competesWith, arg2 is beating arg1 0.01379309740497552)	0.01379309740497552
coupled_cpl	extractionPatterns(competesWith, arg2 is competing with arg1 0.009416196881429795)	0.009416196881429795
coupled_cpl	extractionPatterns(competesWith, arg2 is copying arg1 0.020689664560397947)	0.020689664560397947
coupled_cpl	extractionPatterns(competesWith, arg2 is going after arg1 0.007949128332801269)	0.007949128332801269
coupled_cpl	extractionPatterns(competesWith, arg2 is lagging behind arg1 0.010335920743255263)	0.010335920743255263
coupled_cpl	extractionPatterns(competesWith, arg2 is way ahead of arg1 0.012919893806146065)	0.012919893806146065
coupled_cpl	extractionPatterns(competesWith, arg2 lags behind arg1 0.016304355471863895)	0.016304355471863895
coupled_cpl	extractionPatterns(competesWith, arg2 makes a bid for arg1 0.010335920743255263)	0.010335920743255263
coupled_cpl	extractionPatterns(competesWith, arg2 overtakes arg1 0.015217396484772164)	0.015217396484772164
coupled_cpl	extractionPatterns(competesWith, arg2 overtook arg1 0.008410427280881037)	0.008410427280881037
coupled_cpl	extractionPatterns(competesWith, arg2 takeover of arg1 0.021804519808761393)	0.021804519808761393
coupled_cpl	extractionPatterns(competesWith, arg2 to Yahoo to arg1 0.012919893806146065)	0.012919893806146065
coupled_cpl	extractionPatterns(competesWith, arg2 wants to compete with arg1 0.011737094293842298)	0.011737094293842298
coupled_cpl	extractionPatterns(competesWith, arg2 will overtake arg1 0.028423784554383713)	0.028423784554383713
coupled_cpl	extractionPatterns(conference, abstract appears in _ 0.16000007419974682)	0.16000007419974682
coupled_cpl	extractionPatterns(conference, abstract published in _ 0.18181819858880538)	0.18181819858880538
coupled_cpl	extractionPatterns(conference, annual keynote address at _ 0.19999998248682085)	0.19999998248682085
coupled_cpl	extractionPatterns(conference, better conference than _ 0.14999999773288222)	0.14999999773288222
coupled_cpl	extractionPatterns(conference, big dog at _ 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(conference, big theme at _ 0.2777777348505767)	0.2777777348505767
coupled_cpl	extractionPatterns(conference, camcorders at _ 0.2592591858756811)	0.2592591858756811
coupled_cpl	extractionPatterns(conference, chip set at _ 0.14999999773288222)	0.14999999773288222
coupled_cpl	extractionPatterns(conference, company announced at _ 0.13793109915402665)	0.13793109915402665
coupled_cpl	extractionPatterns(conference, definitive version was published in _ 0.23728816271299227)	0.23728816271299227
coupled_cpl	extractionPatterns(conference, Earlier version appeared in _ 0.1052631366954227)	0.1052631366954227
coupled_cpl	extractionPatterns(conference, early beta at _ 0.29999994129778657)	0.29999994129778657
coupled_cpl	extractionPatterns(conference, electronic submission procedure for _ 0.1578946879734282)	0.1578946879734282
coupled_cpl	extractionPatterns(conference, exhibit halls of _ 0.14999999773288222)	0.14999999773288222
coupled_cpl	extractionPatterns(conference, exhibition floor of _ 0.19999998248682085)	0.19999998248682085
coupled_cpl	extractionPatterns(conference, extended abstract appeared in _ 0.05405403957212513)	0.05405403957212513
coupled_cpl	extractionPatterns(conference, final keynote address at _ 0.29999994129778657)	0.29999994129778657
coupled_cpl	extractionPatterns(conference, format guidelines of _ 0.2631579122979848)	0.2631579122979848
coupled_cpl	extractionPatterns(conference, gender-neutral version of _ 0.1052631366954227)	0.1052631366954227
coupled_cpl	extractionPatterns(conference, huge presence at _ 0.2173913703250207)	0.2173913703250207
coupled_cpl	extractionPatterns(conference, industry conferences including _ 0.15384618106178571)	0.15384618106178571
coupled_cpl	extractionPatterns(conference, industry events , including _ 0.11111106414847875)	0.11111106414847875
coupled_cpl	extractionPatterns(conference, industry events like _ 0.13636365882139362)	0.13636365882139362
coupled_cpl	extractionPatterns(conference, industry events such as _ 0.12280703213078432)	0.12280703213078432
coupled_cpl	extractionPatterns(conference, initiative over at _ 0.1052631366954227)	0.1052631366954227
coupled_cpl	extractionPatterns(conference, _ is the top conference 0.1052631366954227)	0.1052631366954227
coupled_cpl	extractionPatterns(conference, last keynote at _ 0.6999999607571137)	0.6999999607571137
coupled_cpl	extractionPatterns(conference, lunch line at _ 0.1052631366954227)	0.1052631366954227
coupled_cpl	extractionPatterns(conference, many international conferences including _ 0.14999999773288222)	0.14999999773288222
coupled_cpl	extractionPatterns(conference, more podcasts from _ 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(conference, paper accepted at _ 0.048780482250944834)	0.048780482250944834
coupled_cpl	extractionPatterns(conference, paper has been accepted at _ 0.1052631366954227)	0.1052631366954227
coupled_cpl	extractionPatterns(conference, people are having at _ 0.18181819858880538)	0.18181819858880538
coupled_cpl	extractionPatterns(conference, post is cross-posted at _ 0.19999998248682085)	0.19999998248682085
coupled_cpl	extractionPatterns(conference, preliminary version appeared in _ 0.13669064118935823)	0.13669064118935823
coupled_cpl	extractionPatterns(conference, presentation live at _ 0.18181819858880538)	0.18181819858880538
coupled_cpl	extractionPatterns(conference, presentation yesterday at _ 0.18181819858880538)	0.18181819858880538
coupled_cpl	extractionPatterns(conference, press event at _ 0.16000007419974682)	0.16000007419974682
coupled_cpl	extractionPatterns(conference, product announcements at _ 0.38095234134994)	0.38095234134994
coupled_cpl	extractionPatterns(conference, products announced at _ 0.47619064034735087)	0.47619064034735087
coupled_cpl	extractionPatterns(conference, products being shown at _ 0.18181819858880538)	0.18181819858880538
coupled_cpl	extractionPatterns(conference, products introduced at _ 0.11999994434402382)	0.11999994434402382
coupled_cpl	extractionPatterns(conference, products shown at _ 0.12499994270999265)	0.12499994270999265
coupled_cpl	extractionPatterns(conference, recent keynote at _ 0.18181819858880538)	0.18181819858880538
coupled_cpl	extractionPatterns(conference, shorter version appears in _ 0.17647059800966608)	0.17647059800966608
coupled_cpl	extractionPatterns(conference, short version appears in _ 0.11764707805838637)	0.11764707805838637
coupled_cpl	extractionPatterns(conference, show floor at _ 0.13999997989219803)	0.13999997989219803
coupled_cpl	extractionPatterns(conference, show floor of _ 0.16129036968565943)	0.16129036968565943
coupled_cpl	extractionPatterns(conference, trade shows such as _ 0.1555556085556767)	0.1555556085556767
coupled_cpl	extractionPatterns(conference, various conferences including _ 0.12499994270999265)	0.12499994270999265
coupled_cpl	extractionPatterns(country, armed forces of _ 0.4325453943860008)	0.4325453943860008
coupled_cpl	extractionPatterns(country, asylum in _ 0.5277022894686272)	0.5277022894686272
coupled_cpl	extractionPatterns(country, atrocities in _ 0.4620075712720224)	0.4620075712720224
coupled_cpl	extractionPatterns(country, border into _ 0.49064766271070215)	0.49064766271070215
coupled_cpl	extractionPatterns(country, border with _ 0.4862385168796531)	0.4862385168796531
coupled_cpl	extractionPatterns(country, countries , including _ 0.30247519647409005)	0.30247519647409005
coupled_cpl	extractionPatterns(country, countries , like _ 0.4837519517601402)	0.4837519517601402
coupled_cpl	extractionPatterns(country, countries other than _ 0.28513144343521424)	0.28513144343521424
coupled_cpl	extractionPatterns(country, country like _ 0.29679043360424334)	0.29679043360424334
coupled_cpl	extractionPatterns(country, country such as _ 0.47119653511175025)	0.47119653511175025
coupled_cpl	extractionPatterns(country, current situation in _ 0.420713163229775)	0.420713163229775
coupled_cpl	extractionPatterns(country, democracy in _ 0.41383166256822757)	0.41383166256822757
coupled_cpl	extractionPatterns(country, diplomatic relations with _ 0.4843032591431477)	0.4843032591431477
coupled_cpl	extractionPatterns(country, elections in _ 0.385001133708995)	0.385001133708995
coupled_cpl	extractionPatterns(country, ethnic groups in _ 0.3790280750477917)	0.3790280750477917
coupled_cpl	extractionPatterns(country, highlands of _ 0.46770945430041916)	0.46770945430041916
coupled_cpl	extractionPatterns(country, home country of _ 0.43059685407022913)	0.43059685407022913
coupled_cpl	extractionPatterns(country, human rights in _ 0.41067875011841987)	0.41067875011841987
coupled_cpl	extractionPatterns(country, immigrant from _ 0.4908483786483621)	0.4908483786483621
coupled_cpl	extractionPatterns(country, immigration from _ 0.4035003192784322)	0.4035003192784322
coupled_cpl	extractionPatterns(country, imports from _ 0.2798635824700892)	0.2798635824700892
coupled_cpl	extractionPatterns(country, independence from _ 0.45936324429170283)	0.45936324429170283
coupled_cpl	extractionPatterns(country, invasion of _ 0.4528800404212322)	0.4528800404212322
coupled_cpl	extractionPatterns(country, _ is a country 0.4074125380051032)	0.4074125380051032
coupled_cpl	extractionPatterns(country, _ is a nation 0.4010087626176413)	0.4010087626176413
coupled_cpl	extractionPatterns(country, _ is a signatory 0.43500750289835644)	0.43500750289835644
coupled_cpl	extractionPatterns(country, _ is the only country 0.6122760720886136)	0.6122760720886136
coupled_cpl	extractionPatterns(country, major cities in _ 0.40699637508673625)	0.40699637508673625
coupled_cpl	extractionPatterns(country, military action against _ 0.6108694553521403)	0.6108694553521403
coupled_cpl	extractionPatterns(country, military presence in _ 0.42728886313986536)	0.42728886313986536
coupled_cpl	extractionPatterns(country, nation of _ 0.401851765862742)	0.401851765862742
coupled_cpl	extractionPatterns(country, nations , including _ 0.44977851782072775)	0.44977851782072775
coupled_cpl	extractionPatterns(country, nations like _ 0.4736550333445339)	0.4736550333445339
coupled_cpl	extractionPatterns(country, nations such as _ 0.4118813321018087)	0.4118813321018087
coupled_cpl	extractionPatterns(country, occupation of _ 0.4063371683940915)	0.4063371683940915
coupled_cpl	extractionPatterns(country, official language of _ 0.3828036823253086)	0.3828036823253086
coupled_cpl	extractionPatterns(country, policy toward _ 0.420557948711383)	0.420557948711383
coupled_cpl	extractionPatterns(country, political parties in _ 0.38487833793430926)	0.38487833793430926
coupled_cpl	extractionPatterns(country, political party in _ 0.4024256176785195)	0.4024256176785195
coupled_cpl	extractionPatterns(country, political situation in _ 0.438118875578113)	0.438118875578113
coupled_cpl	extractionPatterns(country, prime minister of _ 0.5274886133137344)	0.5274886133137344
coupled_cpl	extractionPatterns(country, provinces in _ 0.37789004950503324)	0.37789004950503324
coupled_cpl	extractionPatterns(country, refugee camps in _ 0.47199117056577117)	0.47199117056577117
coupled_cpl	extractionPatterns(country, republic of _ 0.45769557466772043)	0.45769557466772043
coupled_cpl	extractionPatterns(country, sanctions against _ 0.44822183576707103)	0.44822183576707103
coupled_cpl	extractionPatterns(country, security situation in _ 0.41343292106979307)	0.41343292106979307
coupled_cpl	extractionPatterns(country, treaty with _ 0.3927598195979297)	0.3927598195979297
coupled_cpl	extractionPatterns(country, troops from _ 0.40666196152921685)	0.40666196152921685
coupled_cpl	extractionPatterns(country, war in _ 0.3905946334036187)	0.3905946334036187
coupled_cpl	extractionPatterns(country, war with _ 0.39733918213296127)	0.39733918213296127
coupled_cpl	extractionPatterns(economicSector, adoption of new _ 0.36514235052210914)	0.36514235052210914
coupled_cpl	extractionPatterns(economicSector, advancements in _ 0.15996039910126084)	0.15996039910126084
coupled_cpl	extractionPatterns(economicSector, advances in _ 0.1456958571931875)	0.1456958571931875
coupled_cpl	extractionPatterns(economicSector, breakthroughs in _ 0.13063383789832866)	0.13063383789832866
coupled_cpl	extractionPatterns(economicSector, _ consulting company 0.1879055191855905)	0.1879055191855905
coupled_cpl	extractionPatterns(economicSector, _ consulting firm 0.11928162323598492)	0.11928162323598492
coupled_cpl	extractionPatterns(economicSector, consulting firm specializing in _ 0.13621619313587152)	0.13621619313587152
coupled_cpl	extractionPatterns(economicSector, _ consulting for 0.09616228942330764)	0.09616228942330764
coupled_cpl	extractionPatterns(economicSector, _ consulting practice 0.21284395231671033)	0.21284395231671033
coupled_cpl	extractionPatterns(economicSector, _ consulting services 0.08747712048341644)	0.08747712048341644
coupled_cpl	extractionPatterns(economicSector, deregulation of _ 0.09085994717863431)	0.09085994717863431
coupled_cpl	extractionPatterns(economicSector, development of new _ 0.1768433440802791)	0.1768433440802791
coupled_cpl	extractionPatterns(economicSector, diverse industries as _ 0.15646264305810936)	0.15646264305810936
coupled_cpl	extractionPatterns(economicSector, early stages of _ 0.1127978500432598)	0.1127978500432598
coupled_cpl	extractionPatterns(economicSector, effective use of _ 0.13076362172636785)	0.13076362172636785
coupled_cpl	extractionPatterns(economicSector, industries , from _ 0.08638743862728578)	0.08638743862728578
coupled_cpl	extractionPatterns(economicSector, industries include _ 0.21709244550689316)	0.21709244550689316
coupled_cpl	extractionPatterns(economicSector, industries including _ 0.08355551648235629)	0.08355551648235629
coupled_cpl	extractionPatterns(economicSector, industries ranging from _ 0.10030397035520977)	0.10030397035520977
coupled_cpl	extractionPatterns(economicSector, industry experience includes _ 0.129251649963504)	0.129251649963504
coupled_cpl	extractionPatterns(economicSector, introduction of new _ 0.20147700967712348)	0.20147700967712348
coupled_cpl	extractionPatterns(economicSector, land for _ 0.18258198024515576)	0.18258198024515576
coupled_cpl	extractionPatterns(economicSector, rapid changes in _ 0.13763761858059695)	0.13763761858059695
coupled_cpl	extractionPatterns(economicSector, _ related businesses 0.14238950265954356)	0.14238950265954356
coupled_cpl	extractionPatterns(economicSector, _ related companies 0.15079363990409336)	0.15079363990409336
coupled_cpl	extractionPatterns(economicSector, _ related fields 0.11189190585678428)	0.11189190585678428
coupled_cpl	extractionPatterns(economicSector, _ related industries 0.14386455677191193)	0.14386455677191193
coupled_cpl	extractionPatterns(economicSector, sectors include _ 0.1811593949798938)	0.1811593949798938
coupled_cpl	extractionPatterns(economicSector, sectors , including _ 0.1572832435533435)	0.1572832435533435
coupled_cpl	extractionPatterns(economicSector, sectors including _ 0.2018660339220436)	0.2018660339220436
coupled_cpl	extractionPatterns(economicSector, sectors like _ 0.2279201341976225)	0.2279201341976225
coupled_cpl	extractionPatterns(economicSector, sectors such as _ 0.08815858359557358)	0.08815858359557358
coupled_cpl	extractionPatterns(economicSector, sectors , such as _ 0.0883881825354868)	0.0883881825354868
coupled_cpl	extractionPatterns(economicSector, use of advanced _ 0.35816267369208243)	0.35816267369208243
coupled_cpl	extractionPatterns(economicSector, use of modern _ 0.307573560255838)	0.307573560255838
coupled_cpl	extractionPatterns(economicSector, _ utilized in 0.09003903324063232)	0.09003903324063232
coupled_cpl	extractionPatterns(emotion, cause of great _ 0.6881723250192984)	0.6881723250192984
coupled_cpl	extractionPatterns(emotion, deep feeling of _ 0.5831324100383518)	0.5831324100383518
coupled_cpl	extractionPatterns(emotion, deep feelings of _ 0.7080921771841259)	0.7080921771841259
coupled_cpl	extractionPatterns(emotion, exclamation of _ 0.6141660178532081)	0.6141660178532081
coupled_cpl	extractionPatterns(emotion, exclamations of _ 0.6654205714236552)	0.6654205714236552
coupled_cpl	extractionPatterns(emotion, eyes filled with _ 0.7571839926938858)	0.7571839926938858
coupled_cpl	extractionPatterns(emotion, eyes full of _ 0.5006840577886755)	0.5006840577886755
coupled_cpl	extractionPatterns(emotion, eyes were filled with _ 0.6792928149357685)	0.6792928149357685
coupled_cpl	extractionPatterns(emotion, eyes were full of _ 0.6656441903015212)	0.6656441903015212
coupled_cpl	extractionPatterns(emotion, feeling of deep _ 0.6085269976473388)	0.6085269976473388
coupled_cpl	extractionPatterns(emotion, feeling of great _ 0.5555553693900973)	0.5555553693900973
coupled_cpl	extractionPatterns(emotion, feeling of intense _ 0.5909091475753722)	0.5909091475753722
coupled_cpl	extractionPatterns(emotion, feeling of utter _ 0.5681817096875447)	0.5681817096875447
coupled_cpl	extractionPatterns(emotion, feelings such as _ 0.24570663385564925)	0.24570663385564925
coupled_cpl	extractionPatterns(emotion, grunt of _ 0.5665137086240876)	0.5665137086240876
coupled_cpl	extractionPatterns(emotion, heart filled with _ 0.4983164310630029)	0.4983164310630029
coupled_cpl	extractionPatterns(emotion, heart full of _ 0.5249711343985942)	0.5249711343985942
coupled_cpl	extractionPatterns(emotion, heart is filled with _ 0.5674157493176036)	0.5674157493176036
coupled_cpl	extractionPatterns(emotion, heart is full of _ 0.5859563384180483)	0.5859563384180483
coupled_cpl	extractionPatterns(emotion, hearts are filled with _ 0.610169189765938)	0.610169189765938
coupled_cpl	extractionPatterns(emotion, heart was filled with _ 0.5828094441530011)	0.5828094441530011
coupled_cpl	extractionPatterns(emotion, howls of _ 0.6103644751506583)	0.6103644751506583
coupled_cpl	extractionPatterns(emotion, huge sense of _ 0.6116910158651304)	0.6116910158651304
coupled_cpl	extractionPatterns(emotion, intense feelings of _ 0.5911952168259729)	0.5911952168259729
coupled_cpl	extractionPatterns(emotion, _ knew no bounds 0.18626162640867613)	0.18626162640867613
coupled_cpl	extractionPatterns(emotion, look of pure _ 0.6983603840042205)	0.6983603840042205
coupled_cpl	extractionPatterns(emotion, look of utter _ 0.6348122456195204)	0.6348122456195204
coupled_cpl	extractionPatterns(emotion, mixed feelings of _ 0.5727270662023615)	0.5727270662023615
coupled_cpl	extractionPatterns(emotion, outbursts of _ 0.21813394026001193)	0.21813394026001193
coupled_cpl	extractionPatterns(emotion, overwhelming feelings of _ 0.5956524021044988)	0.5956524021044988
coupled_cpl	extractionPatterns(emotion, own feelings of _ 0.5730335571618009)	0.5730335571618009
coupled_cpl	extractionPatterns(emotion, pang of _ 0.5147705559603928)	0.5147705559603928
coupled_cpl	extractionPatterns(emotion, pangs of _ 0.5748661775312368)	0.5748661775312368
coupled_cpl	extractionPatterns(emotion, paroxysms of _ 0.5960593716594186)	0.5960593716594186
coupled_cpl	extractionPatterns(emotion, same feelings of _ 0.583617778088614)	0.583617778088614
coupled_cpl	extractionPatterns(emotion, sense of deep _ 0.5737124307073125)	0.5737124307073125
coupled_cpl	extractionPatterns(emotion, shiver of _ 0.5976093496228633)	0.5976093496228633
coupled_cpl	extractionPatterns(emotion, shout of _ 0.5512047178968087)	0.5512047178968087
coupled_cpl	extractionPatterns(emotion, shouts of _ 0.15469373808779968)	0.15469373808779968
coupled_cpl	extractionPatterns(emotion, sigh of _ 0.8808622691006724)	0.8808622691006724
coupled_cpl	extractionPatterns(emotion, sighs of _ 0.6234068023590369)	0.6234068023590369
coupled_cpl	extractionPatterns(emotion, source of great _ 0.545072753809435)	0.545072753809435
coupled_cpl	extractionPatterns(emotion, squeals of _ 0.7278582218192691)	0.7278582218192691
coupled_cpl	extractionPatterns(emotion, stab of _ 0.5824039499082367)	0.5824039499082367
coupled_cpl	extractionPatterns(emotion, strong feelings of _ 0.6034482451206077)	0.6034482451206077
coupled_cpl	extractionPatterns(emotion, tears of _ 0.3763634425217909)	0.3763634425217909
coupled_cpl	extractionPatterns(emotion, twinge of _ 0.6905540725017683)	0.6905540725017683
coupled_cpl	extractionPatterns(emotion, twinges of _ 0.6714699597891135)	0.6714699597891135
coupled_cpl	extractionPatterns(emotion, vague feeling of _ 0.5495052230984074)	0.5495052230984074
coupled_cpl	extractionPatterns(emotion, yell of _ 0.5440930494336441)	0.5440930494336441
coupled_cpl	extractionPatterns(food, antioxidants called _ 0.565217311307787)	0.565217311307787
coupled_cpl	extractionPatterns(food, _ are tender 0.5558687909950177)	0.5558687909950177
coupled_cpl	extractionPatterns(food, bag of frozen _ 0.5699999533475204)	0.5699999533475204
coupled_cpl	extractionPatterns(food, bowl of fresh _ 0.43835596201589966)	0.43835596201589966
coupled_cpl	extractionPatterns(food, carbohydrates such as _ 0.42950839146306075)	0.42950839146306075
coupled_cpl	extractionPatterns(food, cheese , green _ 0.7583335125011281)	0.7583335125011281
coupled_cpl	extractionPatterns(food, chocolate covered _ 0.493401023750249)	0.493401023750249
coupled_cpl	extractionPatterns(food, chocolate dipped _ 0.5714284502488258)	0.5714284502488258
coupled_cpl	extractionPatterns(food, diet high in _ 0.4961638817874447)	0.4961638817874447
coupled_cpl	extractionPatterns(food, diet is high in _ 0.6370373442067649)	0.6370373442067649
coupled_cpl	extractionPatterns(food, diet is low in _ 0.5833330420941402)	0.5833330420941402
coupled_cpl	extractionPatterns(food, diet low in _ 0.4159871119875281)	0.4159871119875281
coupled_cpl	extractionPatterns(food, diet rich in _ 0.3892026966478178)	0.3892026966478178
coupled_cpl	extractionPatterns(food, diets high in _ 0.42950108988246954)	0.42950108988246954
coupled_cpl	extractionPatterns(food, Diets high in _ 0.50638298937397)	0.50638298937397
coupled_cpl	extractionPatterns(food, diets rich in _ 0.42622964721227774)	0.42622964721227774
coupled_cpl	extractionPatterns(food, food high in _ 0.5196504006231301)	0.5196504006231301
coupled_cpl	extractionPatterns(food, foods are high in _ 0.4808509173778754)	0.4808509173778754
coupled_cpl	extractionPatterns(food, foods high in _ 0.5142858704194089)	0.5142858704194089
coupled_cpl	extractionPatterns(food, foods , like _ 0.4255665240269326)	0.4255665240269326
coupled_cpl	extractionPatterns(food, foods low in _ 0.6066665377981865)	0.6066665377981865
coupled_cpl	extractionPatterns(food, foods rich in _ 0.4726911800594638)	0.4726911800594638
coupled_cpl	extractionPatterns(food, fresh chopped _ 0.49065404117177736)	0.49065404117177736
coupled_cpl	extractionPatterns(food, fresh picked _ 0.4433658514451342)	0.4433658514451342
coupled_cpl	extractionPatterns(food, fruit like _ 0.44289037502525197)	0.44289037502525197
coupled_cpl	extractionPatterns(food, fruits including _ 0.5919997893061313)	0.5919997893061313
coupled_cpl	extractionPatterns(food, fruits , including _ 0.6107381325369481)	0.6107381325369481
coupled_cpl	extractionPatterns(food, fruits like _ 0.5927503284052988)	0.5927503284052988
coupled_cpl	extractionPatterns(food, fruits , like _ 0.6416668725957321)	0.6416668725957321
coupled_cpl	extractionPatterns(food, fruits , such as _ 0.15426999459411533)	0.15426999459411533
coupled_cpl	extractionPatterns(food, fruits such as _ 0.6543093677498056)	0.6543093677498056
coupled_cpl	extractionPatterns(food, fruit , such as _ 0.47635114363643305)	0.47635114363643305
coupled_cpl	extractionPatterns(food, fruit such as _ 0.6311113285940314)	0.6311113285940314
coupled_cpl	extractionPatterns(food, greens such as _ 0.45106401924855777)	0.45106401924855777
coupled_cpl	extractionPatterns(food, handful of chopped _ 0.5714284502488258)	0.5714284502488258
coupled_cpl	extractionPatterns(food, high intake of _ 0.463372969268721)	0.463372969268721
coupled_cpl	extractionPatterns(food, scoop of _ 0.1983198792737684)	0.1983198792737684
coupled_cpl	extractionPatterns(food, servings of _ 0.3870497659630948)	0.3870497659630948
coupled_cpl	extractionPatterns(food, slices of fresh _ 0.42905421188825393)	0.42905421188825393
coupled_cpl	extractionPatterns(food, snacks like _ 0.4278348595626132)	0.4278348595626132
coupled_cpl	extractionPatterns(food, snacks such as _ 0.43812719991583)	0.43812719991583
coupled_cpl	extractionPatterns(food, sprinkle with chopped _ 0.7936505721931949)	0.7936505721931949
coupled_cpl	extractionPatterns(food, tomatoes , green _ 0.4135338110106064)	0.4135338110106064
coupled_cpl	extractionPatterns(food, vegetables , including _ 0.5301586381278893)	0.5301586381278893
coupled_cpl	extractionPatterns(food, vegetables including _ 0.5489362304763472)	0.5489362304763472
coupled_cpl	extractionPatterns(food, vegetables like _ 0.16843034456970385)	0.16843034456970385
coupled_cpl	extractionPatterns(food, vegetables , like _ 0.4358108325849603)	0.4358108325849603
coupled_cpl	extractionPatterns(food, vegetables , such as _ 0.17931038147846168)	0.17931038147846168
coupled_cpl	extractionPatterns(food, vegetables such as _ 0.2195584049683602)	0.2195584049683602
coupled_cpl	extractionPatterns(food, veggies like _ 0.531914774915895)	0.531914774915895
coupled_cpl	extractionPatterns(furniture, area has comfortable _ 0.6999999607571137)	0.6999999607571137
coupled_cpl	extractionPatterns(furniture, area with comfortable _ 0.5529409855844108)	0.5529409855844108
coupled_cpl	extractionPatterns(furniture, area with comfy _ 0.6315791553969439)	0.6315791553969439
coupled_cpl	extractionPatterns(furniture, bedroom has built in _ 0.5999997742596369)	0.5999997742596369
coupled_cpl	extractionPatterns(furniture, bedrooms have comfortable _ 0.7777781108852205)	0.7777781108852205
coupled_cpl	extractionPatterns(furniture, black leather sectional _ 0.6666667387387801)	0.6666667387387801
coupled_cpl	extractionPatterns(furniture, ceiling , built in _ 0.6666667387387801)	0.6666667387387801
coupled_cpl	extractionPatterns(furniture, chairs , camping _ 0.7333332807561508)	0.7333332807561508
coupled_cpl	extractionPatterns(furniture, chairs , drafting _ 0.8235294236572592)	0.8235294236572592
coupled_cpl	extractionPatterns(furniture, chairs , folding _ 0.7045457571006686)	0.7045457571006686
coupled_cpl	extractionPatterns(furniture, comfortable pull out _ 0.6249997682786277)	0.6249997682786277
coupled_cpl	extractionPatterns(furniture, couple of comfy _ 0.6363637151092231)	0.6363637151092231
coupled_cpl	extractionPatterns(furniture, couple of folding _ 0.6285711822538812)	0.6285711822538812
coupled_cpl	extractionPatterns(furniture, double pull out _ 0.6071429580008224)	0.6071429580008224
coupled_cpl	extractionPatterns(furniture, fire , comfy _ 0.6249997682786277)	0.6249997682786277
coupled_cpl	extractionPatterns(furniture, fireplace , built-in _ 0.5384616506802858)	0.5384616506802858
coupled_cpl	extractionPatterns(furniture, fireplace , overstuffed _ 0.7777781108852205)	0.7777781108852205
coupled_cpl	extractionPatterns(furniture, fireplace with built-in _ 0.5333331516919638)	0.5333331516919638
coupled_cpl	extractionPatterns(furniture, furnishings , upholstered _ 0.5555553693900973)	0.5555553693900973
coupled_cpl	extractionPatterns(furniture, furniture , comfortable _ 0.7083336777900588)	0.7083336777900588
coupled_cpl	extractionPatterns(furniture, furniture pieces such as _ 0.6666667387387801)	0.6666667387387801
coupled_cpl	extractionPatterns(furniture, game of musical _ 0.8719213971666698)	0.8719213971666698
coupled_cpl	extractionPatterns(furniture, loads of comfy _ 0.5555553693900973)	0.5555553693900973
coupled_cpl	extractionPatterns(furniture, lounge has comfortable _ 0.611111407559835)	0.611111407559835
coupled_cpl	extractionPatterns(furniture, lounge with comfortable _ 0.6388887116144715)	0.6388887116144715
coupled_cpl	extractionPatterns(furniture, modern furniture including _ 0.7777781108852205)	0.7777781108852205
coupled_cpl	extractionPatterns(furniture, plenty of comfortable _ 0.5748029457295213)	0.5748029457295213
coupled_cpl	extractionPatterns(furniture, plenty of comfy _ 0.5405403454542155)	0.5405403454542155
coupled_cpl	extractionPatterns(furniture, porch with comfortable _ 0.6249997682786277)	0.6249997682786277
coupled_cpl	extractionPatterns(furniture, room , built-in _ 0.5714284502488258)	0.5714284502488258
coupled_cpl	extractionPatterns(furniture, room has built-in _ 0.5384616506802858)	0.5384616506802858
coupled_cpl	extractionPatterns(furniture, room has comfortable _ 0.5641026728453764)	0.5641026728453764
coupled_cpl	extractionPatterns(furniture, room is furnished with comfortable _ 0.6363637151092231)	0.6363637151092231
coupled_cpl	extractionPatterns(furniture, rooms with comfy _ 0.8888889205834525)	0.8888889205834525
coupled_cpl	extractionPatterns(furniture, room with comfortable _ 0.6489361170627496)	0.6489361170627496
coupled_cpl	extractionPatterns(furniture, room with comfy _ 0.6666667387387801)	0.6666667387387801
coupled_cpl	extractionPatterns(furniture, separate seating area with _ 0.6875003089910393)	0.6875003089910393
coupled_cpl	extractionPatterns(furniture, slipcovers for sectional _ 0.8750003435465248)	0.8750003435465248
coupled_cpl	extractionPatterns(furniture, sofa futon _ 0.5999997742596369)	0.5999997742596369
coupled_cpl	extractionPatterns(furniture, space with comfortable _ 0.6875003089910393)	0.6875003089910393
coupled_cpl	extractionPatterns(furniture, table , comfortable _ 0.6249997682786277)	0.6249997682786277
coupled_cpl	extractionPatterns(furniture, tables , comfortable _ 0.48571414846757255)	0.48571414846757255
coupled_cpl	extractionPatterns(furniture, tables , comfy _ 0.7777781108852205)	0.7777781108852205
coupled_cpl	extractionPatterns(furniture, tables , folding _ 0.6249997682786277)	0.6249997682786277
coupled_cpl	extractionPatterns(furniture, tables , round _ 0.8888889205834525)	0.8888889205834525
coupled_cpl	extractionPatterns(furniture, tables with comfortable _ 0.7777781108852205)	0.7777781108852205
coupled_cpl	extractionPatterns(furniture, table with comfortable _ 0.5555553693900973)	0.5555553693900973
coupled_cpl	extractionPatterns(furniture, TVs , comfortable _ 0.6666667387387801)	0.6666667387387801
coupled_cpl	extractionPatterns(furniture, wall of built-in _ 0.7500000543388377)	0.7500000543388377
coupled_cpl	extractionPatterns(furniture, walls , comfy _ 0.5555553693900973)	0.5555553693900973
coupled_cpl	extractionPatterns(hasOfficeInCity, arg1 offices in arg2 3.864361129413045E-4)	3.864361129413045E-4
coupled_cpl	extractionPatterns(hasOfficeInCountry, arg2 based arg1 9.384426480708308E-6)	9.384426480708308E-6
coupled_cpl	extractionPatterns(headquarteredIn, arg1 is headquartered in arg2 4.1718824965974636E-4)	4.1718824965974636E-4
coupled_cpl	extractionPatterns(headquarteredIn, arg1 was founded in arg2 2.81294048449339E-4)	2.81294048449339E-4
coupled_cpl	extractionPatterns(hobby, adventure activities such as _ 0.610169189765938)	0.610169189765938
coupled_cpl	extractionPatterns(hobby, adventure sports like _ 0.6166664505730616)	0.6166664505730616
coupled_cpl	extractionPatterns(hobby, adventure sports such as _ 0.6097562450220343)	0.6097562450220343
coupled_cpl	extractionPatterns(hobby, _ are all popular activities 0.589041287596711)	0.589041287596711
coupled_cpl	extractionPatterns(hobby, _ are favorite pastimes 0.5849054902090105)	0.5849054902090105
coupled_cpl	extractionPatterns(hobby, _ are popular activities 0.5722221436335564)	0.5722221436335564
coupled_cpl	extractionPatterns(hobby, _ are popular pastimes 0.611650645590317)	0.611650645590317
coupled_cpl	extractionPatterns(hobby, different genres of _ 0.6612905330963582)	0.6612905330963582
coupled_cpl	extractionPatterns(hobby, extreme sports such as _ 0.5714284502488258)	0.5714284502488258
coupled_cpl	extractionPatterns(hobby, favorite type of _ 0.13010753215765367)	0.13010753215765367
coupled_cpl	extractionPatterns(hobby, genre of _ 0.5940148261990057)	0.5940148261990057
coupled_cpl	extractionPatterns(hobby, great works of _ 0.6243032819003104)	0.6243032819003104
coupled_cpl	extractionPatterns(hobby, hobbies include _ 0.20790022538828967)	0.20790022538828967
coupled_cpl	extractionPatterns(hobby, hobbies included _ 0.37058812806766217)	0.37058812806766217
coupled_cpl	extractionPatterns(hobby, _ including paragliding 0.7530866385240661)	0.7530866385240661
coupled_cpl	extractionPatterns(hobby, lifelong love of _ 0.21464387919474787)	0.21464387919474787
coupled_cpl	extractionPatterns(hobby, major genres of _ 0.5849054902090105)	0.5849054902090105
coupled_cpl	extractionPatterns(hobby, many different styles of _ 0.201058171971768)	0.201058171971768
coupled_cpl	extractionPatterns(hobby, many works of _ 0.6761657775106167)	0.6761657775106167
coupled_cpl	extractionPatterns(hobby, other genres of _ 0.679758289920981)	0.679758289920981
coupled_cpl	extractionPatterns(hobby, outdoor activities including _ 0.5195402464149566)	0.5195402464149566
coupled_cpl	extractionPatterns(hobby, outdoor activities , including _ 0.6048782989177983)	0.6048782989177983
coupled_cpl	extractionPatterns(hobby, outdoor activities like _ 0.5785339776613369)	0.5785339776613369
coupled_cpl	extractionPatterns(hobby, outdoor activities such as _ 0.33933176240680113)	0.33933176240680113
coupled_cpl	extractionPatterns(hobby, outdoor activities , such as _ 0.558620459362799)	0.558620459362799
coupled_cpl	extractionPatterns(hobby, outdoor pursuits including _ 0.5999997742596369)	0.5999997742596369
coupled_cpl	extractionPatterns(hobby, outdoor pursuits such as _ 0.6164383261919626)	0.6164383261919626
coupled_cpl	extractionPatterns(hobby, outdoor recreation , including _ 0.6575345294732664)	0.6575345294732664
coupled_cpl	extractionPatterns(hobby, outdoor sports like _ 0.6307693589360823)	0.6307693589360823
coupled_cpl	extractionPatterns(hobby, recreational activities including _ 0.690095696795203)	0.690095696795203
coupled_cpl	extractionPatterns(hobby, recreational activities such as _ 0.5738048058446554)	0.5738048058446554
coupled_cpl	extractionPatterns(hobby, recreational opportunities including _ 0.34355811388967517)	0.34355811388967517
coupled_cpl	extractionPatterns(hobby, recreational opportunities , including _ 0.5811967146519141)	0.5811967146519141
coupled_cpl	extractionPatterns(hobby, recreational opportunities such as _ 0.4360902768809759)	0.4360902768809759
coupled_cpl	extractionPatterns(hobby, recreation including _ 0.5714284502488258)	0.5714284502488258
coupled_cpl	extractionPatterns(hobby, recreation such as _ 0.3956042247273627)	0.3956042247273627
coupled_cpl	extractionPatterns(hobby, recreation , such as _ 0.5431037006641485)	0.5431037006641485
coupled_cpl	extractionPatterns(hobby, series of one-act _ 0.6800003269522281)	0.6800003269522281
coupled_cpl	extractionPatterns(hobby, serious works of _ 0.5833330420941402)	0.5833330420941402
coupled_cpl	extractionPatterns(hobby, taste in _ 0.13621442233687098)	0.13621442233687098
coupled_cpl	extractionPatterns(hobby, traditional sports like _ 0.6153845020195187)	0.6153845020195187
coupled_cpl	extractionPatterns(hobby, various genres of _ 0.6246336257046682)	0.6246336257046682
coupled_cpl	extractionPatterns(hobby, water activities , including _ 0.6969699377987871)	0.6969699377987871
coupled_cpl	extractionPatterns(hobby, water activities like _ 0.5744679332777796)	0.5744679332777796
coupled_cpl	extractionPatterns(hobby, water activities such as _ 0.5431037006641485)	0.5431037006641485
coupled_cpl	extractionPatterns(hobby, water sports including _ 0.5555553693900973)	0.5555553693900973
coupled_cpl	extractionPatterns(hobby, water sports , including _ 0.5573772384417223)	0.5573772384417223
coupled_cpl	extractionPatterns(hobby, watersports , including _ 0.6097562450220343)	0.6097562450220343
coupled_cpl	extractionPatterns(hobby, watersports including _ 0.731884181158782)	0.731884181158782
coupled_cpl	extractionPatterns(hobby, water sports such as _ 0.559870372346935)	0.559870372346935
coupled_cpl	extractionPatterns(kitchenItem, alcohol in large _ 0.9090910725494009)	0.9090910725494009
coupled_cpl	extractionPatterns(kitchenItem, breast milk in small _ 0.962963278798349)	0.962963278798349
coupled_cpl	extractionPatterns(kitchenItem, cells produce large _ 0.9230766532371499)	0.9230766532371499
coupled_cpl	extractionPatterns(kitchenItem, cinnamon in large _ 0.6666667387387801)	0.6666667387387801
coupled_cpl	extractionPatterns(kitchenItem, consumption of huge _ 0.5833330420941402)	0.5833330420941402
coupled_cpl	extractionPatterns(kitchenItem, cookware such as _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(kitchenItem, cream in chilled _ 0.5555553693900973)	0.5555553693900973
coupled_cpl	extractionPatterns(kitchenItem, cutlery , cooking _ 0.8461539177919128)	0.8461539177919128
coupled_cpl	extractionPatterns(kitchenItem, eyes with copious _ 0.9473686306771265)	0.9473686306771265
coupled_cpl	extractionPatterns(kitchenItem, flour in large _ 0.6666667387387801)	0.6666667387387801
coupled_cpl	extractionPatterns(kitchenItem, foods contain large _ 0.8999995640921492)	0.8999995640921492
coupled_cpl	extractionPatterns(kitchenItem, functional items such as _ 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(kitchenItem, garlic in small _ 0.6249997682786277)	0.6249997682786277
coupled_cpl	extractionPatterns(kitchenItem, gelatin in large _ 0.9166670122405591)	0.9166670122405591
coupled_cpl	extractionPatterns(kitchenItem, glasses , ceramic _ 0.31578931892794915)	0.31578931892794915
coupled_cpl	extractionPatterns(kitchenItem, ice cream shaped _ 0.8888889205834525)	0.8888889205834525
coupled_cpl	extractionPatterns(kitchenItem, ingredients in large _ 0.589999847828619)	0.589999847828619
coupled_cpl	extractionPatterns(kitchenItem, ingredients in separate _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(kitchenItem, ladle into _ 0.2972971902244623)	0.2972971902244623
coupled_cpl	extractionPatterns(kitchenItem, makers , hot _ 0.31249994056428093)	0.31249994056428093
coupled_cpl	extractionPatterns(kitchenItem, mattresses , cooking _ 0.8571425827091225)	0.8571425827091225
coupled_cpl	extractionPatterns(kitchenItem, meals in large _ 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(kitchenItem, mugs , plastic _ 0.47368440086698504)	0.47368440086698504
coupled_cpl	extractionPatterns(kitchenItem, natural edged _ 0.4615384099539175)	0.4615384099539175
coupled_cpl	extractionPatterns(kitchenItem, non-stick coating for _ 0.31249994056428093)	0.31249994056428093
coupled_cpl	extractionPatterns(kitchenItem, paint on ceramic _ 0.35294113229229485)	0.35294113229229485
coupled_cpl	extractionPatterns(kitchenItem, people consume large _ 0.8999995640921492)	0.8999995640921492
coupled_cpl	extractionPatterns(kitchenItem, people eat large _ 0.9166670122405591)	0.9166670122405591
coupled_cpl	extractionPatterns(kitchenItem, pepper in small _ 0.6666667387387801)	0.6666667387387801
coupled_cpl	extractionPatterns(kitchenItem, plants use large _ 0.8999995640921492)	0.8999995640921492
coupled_cpl	extractionPatterns(kitchenItem, plates , salad _ 0.7368418470377582)	0.7368418470377582
coupled_cpl	extractionPatterns(kitchenItem, plates with plastic _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(kitchenItem, plate with plastic _ 0.8181815690145253)	0.8181815690145253
coupled_cpl	extractionPatterns(kitchenItem, pots , plastic _ 0.36842099004094686)	0.36842099004094686
coupled_cpl	extractionPatterns(kitchenItem, pots , small _ 0.31578931892794915)	0.31578931892794915
coupled_cpl	extractionPatterns(kitchenItem, pottery such as _ 0.24242424722100475)	0.24242424722100475
coupled_cpl	extractionPatterns(kitchenItem, rice in large _ 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(kitchenItem, salt in large _ 0.7999996410514483)	0.7999996410514483
coupled_cpl	extractionPatterns(kitchenItem, secretion of large _ 0.9166670122405591)	0.9166670122405591
coupled_cpl	extractionPatterns(kitchenItem, skin in tiny _ 0.8918922051045296)	0.8918922051045296
coupled_cpl	extractionPatterns(kitchenItem, soup into individual _ 0.5999997742596369)	0.5999997742596369
coupled_cpl	extractionPatterns(kitchenItem, spatula footed _ 0.449999863298018)	0.449999863298018
coupled_cpl	extractionPatterns(kitchenItem, spoonfuls onto ungreased _ 0.35294113229229485)	0.35294113229229485
coupled_cpl	extractionPatterns(kitchenItem, sugar in large _ 0.7714287222313657)	0.7714287222313657
coupled_cpl	extractionPatterns(kitchenItem, sugars in large _ 0.7777781108852205)	0.7777781108852205
coupled_cpl	extractionPatterns(kitchenItem, syrup in small _ 0.5000000902799808)	0.5000000902799808
coupled_cpl	extractionPatterns(kitchenItem, trays , plastic _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(kitchenItem, utensils such as _ 0.2903224723980957)	0.2903224723980957
coupled_cpl	extractionPatterns(kitchenItem, vanilla extract in large _ 1.0)	1.0
coupled_cpl	extractionPatterns(kitchenItem, vanilla in large _ 0.9777776368331341)	0.9777776368331341
coupled_cpl	extractionPatterns(mammal, animals other than _ 0.4956773836857457)	0.4956773836857457
coupled_cpl	extractionPatterns(mammal, Animals such as _ 0.41228063854534286)	0.41228063854534286
coupled_cpl	extractionPatterns(mammal, birds , small _ 0.6213237477280682)	0.6213237477280682
coupled_cpl	extractionPatterns(mammal, bison , wild _ 0.781250060884007)	0.781250060884007
coupled_cpl	extractionPatterns(mammal, buffalo , wild _ 0.8108104305260911)	0.8108104305260911
coupled_cpl	extractionPatterns(mammal, deer , feral _ 0.8648648733790252)	0.8648648733790252
coupled_cpl	extractionPatterns(mammal, different breeds of _ 0.5767196533255308)	0.5767196533255308
coupled_cpl	extractionPatterns(mammal, domestic animals such as _ 0.6386555597875291)	0.6386555597875291
coupled_cpl	extractionPatterns(mammal, elephants , wild _ 0.7575755580290259)	0.7575755580290259
coupled_cpl	extractionPatterns(mammal, farm animals such as _ 0.7678568165498592)	0.7678568165498592
coupled_cpl	extractionPatterns(mammal, goats , wild _ 0.7878788063506048)	0.7878788063506048
coupled_cpl	extractionPatterns(mammal, group of feral _ 0.8285716203881722)	0.8285716203881722
coupled_cpl	extractionPatterns(mammal, herd of wild _ 0.5649545463556148)	0.5649545463556148
coupled_cpl	extractionPatterns(mammal, herds of wild _ 0.5640141156776594)	0.5640141156776594
coupled_cpl	extractionPatterns(mammal, large animals such as _ 0.4514286262575057)	0.4514286262575057
coupled_cpl	extractionPatterns(mammal, larger animals such as _ 0.6160001943163789)	0.6160001943163789
coupled_cpl	extractionPatterns(mammal, lion , black _ 0.7586209753731393)	0.7586209753731393
coupled_cpl	extractionPatterns(mammal, mammals including _ 0.5185182781277219)	0.5185182781277219
coupled_cpl	extractionPatterns(mammal, many animals , including _ 0.4930557638886735)	0.4930557638886735
coupled_cpl	extractionPatterns(mammal, many breeds of _ 0.573643589346192)	0.573643589346192
coupled_cpl	extractionPatterns(mammal, monkeys , wild _ 0.8888889205834525)	0.8888889205834525
coupled_cpl	extractionPatterns(mammal, number of feral _ 0.768518225964802)	0.768518225964802
coupled_cpl	extractionPatterns(mammal, numbers of feral _ 0.8684207037520932)	0.8684207037520932
coupled_cpl	extractionPatterns(mammal, other animals , including _ 0.4169612446464947)	0.4169612446464947
coupled_cpl	extractionPatterns(mammal, other animals like _ 0.5294116412047185)	0.5294116412047185
coupled_cpl	extractionPatterns(mammal, other animals such as _ 0.4149658712852604)	0.4149658712852604
coupled_cpl	extractionPatterns(mammal, other breeds of _ 0.4629214007990856)	0.4629214007990856
coupled_cpl	extractionPatterns(mammal, overpopulation of _ 0.18876413617783291)	0.18876413617783291
coupled_cpl	extractionPatterns(mammal, pack of hungry _ 0.671999958644441)	0.671999958644441
coupled_cpl	extractionPatterns(mammal, pack of wild _ 0.743420831191709)	0.743420831191709
coupled_cpl	extractionPatterns(mammal, packs of wild _ 0.8235294236572592)	0.8235294236572592
coupled_cpl	extractionPatterns(mammal, people , other _ 0.20043565628990118)	0.20043565628990118
coupled_cpl	extractionPatterns(mammal, pets like _ 0.21348322944662626)	0.21348322944662626
coupled_cpl	extractionPatterns(mammal, pets such as _ 0.37078644576143116)	0.37078644576143116
coupled_cpl	extractionPatterns(mammal, popular breed of _ 0.6075948404409983)	0.6075948404409983
coupled_cpl	extractionPatterns(mammal, population of feral _ 0.7014925497164576)	0.7014925497164576
coupled_cpl	extractionPatterns(mammal, predators other than _ 0.9090910725494009)	0.9090910725494009
coupled_cpl	extractionPatterns(mammal, rodents such as _ 0.41228063854534286)	0.41228063854534286
coupled_cpl	extractionPatterns(mammal, scrapie in _ 0.7176473403687296)	0.7176473403687296
coupled_cpl	extractionPatterns(mammal, several breeds of _ 0.6938773938533201)	0.6938773938533201
coupled_cpl	extractionPatterns(mammal, sheep , wild _ 0.6585367175341456)	0.6585367175341456
coupled_cpl	extractionPatterns(mammal, small animals like _ 0.5448275262505597)	0.5448275262505597
coupled_cpl	extractionPatterns(mammal, small animals such as _ 0.3992933177356598)	0.3992933177356598
coupled_cpl	extractionPatterns(mammal, small animals , such as _ 0.589041287596711)	0.589041287596711
coupled_cpl	extractionPatterns(mammal, smaller animals such as _ 0.6944445233249414)	0.6944445233249414
coupled_cpl	extractionPatterns(mammal, turkeys , wild _ 0.7586209753731393)	0.7586209753731393
coupled_cpl	extractionPatterns(mammal, wax dipped _ 0.5925926777864048)	0.5925926777864048
coupled_cpl	extractionPatterns(mammal, wild animals , including _ 0.5795455598800996)	0.5795455598800996
coupled_cpl	extractionPatterns(mammal, wild animals like _ 0.5294116412047185)	0.5294116412047185
coupled_cpl	extractionPatterns(mammal, wild animals such as _ 0.4204948697501167)	0.4204948697501167
coupled_cpl	extractionPatterns(movie, balcony scene from _ 0.42857136873737717)	0.42857136873737717
coupled_cpl	extractionPatterns(movie, blockbusters like _ 0.1441442131996638)	0.1441442131996638
coupled_cpl	extractionPatterns(movie, blockbusters such as _ 0.1099999904508697)	0.1099999904508697
coupled_cpl	extractionPatterns(movie, brunch on _ 0.24207008192947976)	0.24207008192947976
coupled_cpl	extractionPatterns(movie, church on _ 0.1566386059415215)	0.1566386059415215
coupled_cpl	extractionPatterns(movie, church services on _ 0.41618516898666036)	0.41618516898666036
coupled_cpl	extractionPatterns(movie, classic scene from _ 0.14814807479771275)	0.14814807479771275
coupled_cpl	extractionPatterns(movie, college production of _ 0.25714298163942295)	0.25714298163942295
coupled_cpl	extractionPatterns(movie, comedies such as _ 0.1463414045087318)	0.1463414045087318
coupled_cpl	extractionPatterns(movie, day off on _ 0.3664123281685408)	0.3664123281685408
coupled_cpl	extractionPatterns(movie, famous scene in _ 0.14285716415076063)	0.14285716415076063
coupled_cpl	extractionPatterns(movie, favorite movie is _ 0.13125004954824984)	0.13125004954824984
coupled_cpl	extractionPatterns(movie, favorite movies are _ 0.14285716415076063)	0.14285716415076063
coupled_cpl	extractionPatterns(movie, favorite movies include _ 0.19999998248682085)	0.19999998248682085
coupled_cpl	extractionPatterns(movie, favorite movies is _ 0.1578946879734282)	0.1578946879734282
coupled_cpl	extractionPatterns(movie, favorite movie was _ 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(movie, favourite film is _ 0.16949158490029412)	0.16949158490029412
coupled_cpl	extractionPatterns(movie, favourite movie is _ 0.15853656789555357)	0.15853656789555357
coupled_cpl	extractionPatterns(movie, feature films including _ 0.17142850153053285)	0.17142850153053285
coupled_cpl	extractionPatterns(movie, fictional universe of _ 0.09615382751416786)	0.09615382751416786
coupled_cpl	extractionPatterns(movie, film classic _ 0.24074066589511517)	0.24074066589511517
coupled_cpl	extractionPatterns(movie, films , like _ 0.14693881549057772)	0.14693881549057772
coupled_cpl	extractionPatterns(movie, films such as _ 0.14260010994491926)	0.14260010994491926
coupled_cpl	extractionPatterns(movie, final round on _ 0.36666670658338996)	0.36666670658338996
coupled_cpl	extractionPatterns(movie, horror classic _ 0.14999999773288222)	0.14999999773288222
coupled_cpl	extractionPatterns(movie, horror films like _ 0.16949158490029412)	0.16949158490029412
coupled_cpl	extractionPatterns(movie, _ is a better movie 0.13414633803810622)	0.13414633803810622
coupled_cpl	extractionPatterns(movie, _ is a monster movie 0.13432836385810043)	0.13432836385810043
coupled_cpl	extractionPatterns(movie, little film called _ 0.05769233249500442)	0.05769233249500442
coupled_cpl	extractionPatterns(movie, little movie called _ 0.2033897886341167)	0.2033897886341167
coupled_cpl	extractionPatterns(movie, many films including _ 0.22916660665010627)	0.22916660665010627
coupled_cpl	extractionPatterns(movie, midnight showing of _ 0.14141407360881056)	0.14141407360881056
coupled_cpl	extractionPatterns(movie, movie , like _ 0.04498271383550986)	0.04498271383550986
coupled_cpl	extractionPatterns(movie, movies including _ 0.14814807479771275)	0.14814807479771275
coupled_cpl	extractionPatterns(movie, officials said on _ 0.6562503052063952)	0.6562503052063952
coupled_cpl	extractionPatterns(movie, opening scene from _ 0.17777776854941962)	0.17777776854941962
coupled_cpl	extractionPatterns(movie, police said on _ 0.7628865104344562)	0.7628865104344562
coupled_cpl	extractionPatterns(movie, recent remake of _ 0.11999994434402382)	0.11999994434402382
coupled_cpl	extractionPatterns(movie, researchers said on _ 0.7863250676315192)	0.7863250676315192
coupled_cpl	extractionPatterns(movie, school production of _ 0.1419354361183337)	0.1419354361183337
coupled_cpl	extractionPatterns(movie, soundtracks including _ 0.16417916138088376)	0.16417916138088376
coupled_cpl	extractionPatterns(movie, stores are closed on _ 0.9850745060605995)	0.9850745060605995
coupled_cpl	extractionPatterns(movie, such films as _ 0.1332654866733781)	0.1332654866733781
coupled_cpl	extractionPatterns(movie, theme music from _ 0.05645163641813445)	0.05645163641813445
coupled_cpl	extractionPatterns(movie, thrillers such as _ 0.04807692243784964)	0.04807692243784964
coupled_cpl	extractionPatterns(movie, upcoming remake of _ 0.23728816271299227)	0.23728816271299227
coupled_cpl	extractionPatterns(movie, _ was church 0.1918819384483782)	0.1918819384483782
coupled_cpl	extractionPatterns(movie, week begins on _ 0.6999999607571137)	0.6999999607571137
coupled_cpl	extractionPatterns(movie, week ending on _ 0.6761907961072258)	0.6761907961072258
coupled_cpl	extractionPatterns(movie, week starts on _ 0.7303371515659888)	0.7303371515659888
coupled_cpl	extractionPatterns(newspaperCompany, affairs columnist for _ 0.37254889054119533)	0.37254889054119533
coupled_cpl	extractionPatterns(newspaperCompany, architecture critic for _ 0.43749981326824455)	0.43749981326824455
coupled_cpl	extractionPatterns(newspaperCompany, architecture critic of _ 0.4333333438202682)	0.4333333438202682
coupled_cpl	extractionPatterns(newspaperCompany, business publications such as _ 0.43999980291076946)	0.43999980291076946
coupled_cpl	extractionPatterns(newspaperCompany, classical music critic for _ 0.47619064034735087)	0.47619064034735087
coupled_cpl	extractionPatterns(newspaperCompany, column today in _ 0.43749981326824455)	0.43749981326824455
coupled_cpl	extractionPatterns(newspaperCompany, deputy managing editor of _ 0.3999998927496764)	0.3999998927496764
coupled_cpl	extractionPatterns(newspaperCompany, economics columnist for _ 0.42857136873737717)	0.42857136873737717
coupled_cpl	extractionPatterns(newspaperCompany, economics editor of _ 0.5000000902799808)	0.5000000902799808
coupled_cpl	extractionPatterns(newspaperCompany, editorial cartoonist at _ 0.4642857851884937)	0.4642857851884937
coupled_cpl	extractionPatterns(newspaperCompany, editorial page of _ 0.23529411363207658)	0.23529411363207658
coupled_cpl	extractionPatterns(newspaperCompany, editorials have appeared in _ 0.4800000840385036)	0.4800000840385036
coupled_cpl	extractionPatterns(newspaperCompany, editorial writers at _ 0.4800000840385036)	0.4800000840385036
coupled_cpl	extractionPatterns(newspaperCompany, editorial writers of _ 0.44444454054060095)	0.44444454054060095
coupled_cpl	extractionPatterns(newspaperCompany, former foreign correspondent for _ 0.42857136873737717)	0.42857136873737717
coupled_cpl	extractionPatterns(newspaperCompany, former literary editor of _ 0.44444454054060095)	0.44444454054060095
coupled_cpl	extractionPatterns(newspaperCompany, former sports editor of _ 0.4705881422947763)	0.4705881422947763
coupled_cpl	extractionPatterns(newspaperCompany, former staff writer for _ 0.39130420640595476)	0.39130420640595476
coupled_cpl	extractionPatterns(newspaperCompany, group comparison for _ 0.45098058012335385)	0.45098058012335385
coupled_cpl	extractionPatterns(newspaperCompany, _ had a front page story 0.42857136873737717)	0.42857136873737717
coupled_cpl	extractionPatterns(newspaperCompany, _ had an article yesterday 0.5294116412047185)	0.5294116412047185
coupled_cpl	extractionPatterns(newspaperCompany, _ has an article today 0.23529411363207658)	0.23529411363207658
coupled_cpl	extractionPatterns(newspaperCompany, _ is a broadsheet 0.6923075400867749)	0.6923075400867749
coupled_cpl	extractionPatterns(newspaperCompany, leader writer for _ 0.4800000840385036)	0.4800000840385036
coupled_cpl	extractionPatterns(newspaperCompany, many newspapers including _ 0.4117647861768502)	0.4117647861768502
coupled_cpl	extractionPatterns(newspaperCompany, media critic for _ 0.4705881422947763)	0.4705881422947763
coupled_cpl	extractionPatterns(newspaperCompany, music critic at _ 0.37254889054119533)	0.37254889054119533
coupled_cpl	extractionPatterns(newspaperCompany, music critic of _ 0.4235295464615677)	0.4235295464615677
coupled_cpl	extractionPatterns(newspaperCompany, national newspapers including _ 0.37254889054119533)	0.37254889054119533
coupled_cpl	extractionPatterns(newspaperCompany, op-ed article for _ 0.4117647861768502)	0.4117647861768502
coupled_cpl	extractionPatterns(newspaperCompany, op-ed column for _ 0.4666666909552191)	0.4666666909552191
coupled_cpl	extractionPatterns(newspaperCompany, op-ed column in _ 0.3846155557798213)	0.3846155557798213
coupled_cpl	extractionPatterns(newspaperCompany, op-ed columnist for _ 0.3676470148190857)	0.3676470148190857
coupled_cpl	extractionPatterns(newspaperCompany, op-ed page of _ 0.26262634459537443)	0.26262634459537443
coupled_cpl	extractionPatterns(newspaperCompany, op-ed pages of _ 0.39024403686422865)	0.39024403686422865
coupled_cpl	extractionPatterns(newspaperCompany, op-ed piece for _ 0.23376615521086186)	0.23376615521086186
coupled_cpl	extractionPatterns(newspaperCompany, op-ed piece in _ 0.2685951638717974)	0.2685951638717974
coupled_cpl	extractionPatterns(newspaperCompany, opinion article in _ 0.4102563790317407)	0.4102563790317407
coupled_cpl	extractionPatterns(newspaperCompany, opinion piece published in _ 0.43999980291076946)	0.43999980291076946
coupled_cpl	extractionPatterns(newspaperCompany, political correspondent of _ 0.42105281578387377)	0.42105281578387377
coupled_cpl	extractionPatterns(newspaperCompany, _ printed this letter 0.44444454054060095)	0.44444454054060095
coupled_cpl	extractionPatterns(newspaperCompany, _ ran a front-page story 0.3728813524075064)	0.3728813524075064
coupled_cpl	extractionPatterns(newspaperCompany, _ ran an article today 0.4074072416765353)	0.4074072416765353
coupled_cpl	extractionPatterns(newspaperCompany, rate published in _ 0.4333333438202682)	0.4333333438202682
coupled_cpl	extractionPatterns(newspaperCompany, recent opinion piece in _ 0.44444454054060095)	0.44444454054060095
coupled_cpl	extractionPatterns(newspaperCompany, science reporter for _ 0.35294113229229485)	0.35294113229229485
coupled_cpl	extractionPatterns(newspaperCompany, sports columnist at _ 0.4117647861768502)	0.4117647861768502
coupled_cpl	extractionPatterns(newspaperCompany, technology columnist for _ 0.44155839618280446)	0.44155839618280446
coupled_cpl	extractionPatterns(newspaperCompany, technology reporter for _ 0.4102563790317407)	0.4102563790317407
coupled_cpl	extractionPatterns(newspaperCompany, theatre critic of _ 0.4666666909552191)	0.4666666909552191
coupled_cpl	extractionPatterns(politician, ad attacking _ 0.38666677630595225)	0.38666677630595225
coupled_cpl	extractionPatterns(politician, attack ad against _ 0.3870966018182884)	0.3870966018182884
coupled_cpl	extractionPatterns(politician, _ becomes the Democratic nominee 0.3823530050885383)	0.3823530050885383
coupled_cpl	extractionPatterns(politician, _ becomes the nominee 0.36180893874879694)	0.36180893874879694
coupled_cpl	extractionPatterns(politician, _ becomes the Republican nominee 0.45945926124318176)	0.45945926124318176
coupled_cpl	extractionPatterns(politician, better president than _ 0.357143006136159)	0.357143006136159
coupled_cpl	extractionPatterns(politician, campaign accused _ 0.37837822060558757)	0.37837822060558757
coupled_cpl	extractionPatterns(politician, candidate besides _ 0.3999998927496764)	0.3999998927496764
coupled_cpl	extractionPatterns(politician, candidate except _ 0.4769231081188505)	0.4769231081188505
coupled_cpl	extractionPatterns(politician, candidate like _ 0.37124464990476636)	0.37124464990476636
coupled_cpl	extractionPatterns(politician, candidates except for _ 0.39393947430498594)	0.39393947430498594
coupled_cpl	extractionPatterns(politician, candidate such as _ 0.4137931780131683)	0.4137931780131683
coupled_cpl	extractionPatterns(politician, delegates than _ 0.31081077266656265)	0.31081077266656265
coupled_cpl	extractionPatterns(politician, Democrats such as _ 0.10204085568128576)	0.10204085568128576
coupled_cpl	extractionPatterns(politician, _ forged close ties 0.14814807479771275)	0.14814807479771275
coupled_cpl	extractionPatterns(politician, _ gets the Democratic nomination 0.3246751938264819)	0.3246751938264819
coupled_cpl	extractionPatterns(politician, _ gets the nomination 0.37071118375229395)	0.37071118375229395
coupled_cpl	extractionPatterns(politician, _ gets the Republican nomination 0.3999998927496764)	0.3999998927496764
coupled_cpl	extractionPatterns(politician, _ greets supporters 0.37777783282533206)	0.37777783282533206
coupled_cpl	extractionPatterns(politician, _ has flip-flopped on 0.3880597330687563)	0.3880597330687563
coupled_cpl	extractionPatterns(politician, _ has left the race 0.3448274955146424)	0.3448274955146424
coupled_cpl	extractionPatterns(politician, independents than _ 0.39130420640595476)	0.39130420640595476
coupled_cpl	extractionPatterns(politician, _ is a better candidate 0.327102729476992)	0.327102729476992
coupled_cpl	extractionPatterns(politician, _ is a warmonger 0.39130420640595476)	0.39130420640595476
coupled_cpl	extractionPatterns(politician, _ is that candidate 0.48571414846757255)	0.48571414846757255
coupled_cpl	extractionPatterns(politician, _ is that leader 0.449999863298018)	0.449999863298018
coupled_cpl	extractionPatterns(politician, _ is the better candidate 0.43749981326824455)	0.43749981326824455
coupled_cpl	extractionPatterns(politician, _ is the Democratic candidate 0.3148147211599582)	0.3148147211599582
coupled_cpl	extractionPatterns(politician, _ is the Democratic nominee 0.10407244872642797)	0.10407244872642797
coupled_cpl	extractionPatterns(politician, _ is the nominee 0.31301473902935717)	0.31301473902935717
coupled_cpl	extractionPatterns(politician, _ is the only candidate 0.35988814649179024)	0.35988814649179024
coupled_cpl	extractionPatterns(politician, _ is the only major candidate 0.45714301222842973)	0.45714301222842973
coupled_cpl	extractionPatterns(politician, _ is the only presidential candidate 0.31868121559760904)	0.31868121559760904
coupled_cpl	extractionPatterns(politician, _ is the Republican nominee 0.4545456183474251)	0.4545456183474251
coupled_cpl	extractionPatterns(politician, _ is the right candidate 0.37096780467204826)	0.37096780467204826
coupled_cpl	extractionPatterns(politician, _ is the stronger candidate 0.48571414846757255)	0.48571414846757255
coupled_cpl	extractionPatterns(politician, _ leads among 0.4155252069418744)	0.4155252069418744
coupled_cpl	extractionPatterns(politician, _ led among 0.4319998663988482)	0.4319998663988482
coupled_cpl	extractionPatterns(politician, _ loses the nomination 0.389610405269427)	0.389610405269427
coupled_cpl	extractionPatterns(politician, national lead over _ 0.4062498152936816)	0.4062498152936816
coupled_cpl	extractionPatterns(politician, point lead over _ 0.09876539387582)	0.09876539387582
coupled_cpl	extractionPatterns(politician, presidential candidacy of _ 0.14545449360766524)	0.14545449360766524
coupled_cpl	extractionPatterns(politician, running mate for _ 0.35102037807773545)	0.35102037807773545
coupled_cpl	extractionPatterns(politician, _ steals the nomination 0.3823530050885383)	0.3823530050885383
coupled_cpl	extractionPatterns(politician, virtual dead heat with _ 0.4062498152936816)	0.4062498152936816
coupled_cpl	extractionPatterns(politician, voters went for _ 0.38888873677147195)	0.38888873677147195
coupled_cpl	extractionPatterns(politician, _ wins the nomination 0.3597884712808661)	0.3597884712808661
coupled_cpl	extractionPatterns(politician, _ wins the Republican nomination 0.39622660363028406)	0.39622660363028406
coupled_cpl	extractionPatterns(politician, _ won among 0.338095121004815)	0.338095121004815
coupled_cpl	extractionPatterns(politician, _ won the straw poll 0.4117647861768502)	0.4117647861768502
coupled_cpl	extractionPatterns(producesProduct, arg1 already supports arg2 0.005665721679169176)	0.005665721679169176
coupled_cpl	extractionPatterns(producesProduct, arg1 announced its new arg2 0.00385604203924284)	0.00385604203924284
coupled_cpl	extractionPatterns(producesProduct, arg1 boxes running arg2 0.008498581599987653)	0.008498581599987653
coupled_cpl	extractionPatterns(producesProduct, arg1 computer running arg2 0.00915750973727845)	0.00915750973727845
coupled_cpl	extractionPatterns(producesProduct, arg1 cut the price of arg2 0.00526315827452889)	0.00526315827452889
coupled_cpl	extractionPatterns(producesProduct, arg1 did with the original arg2 0.0038412286600701105)	0.0038412286600701105
coupled_cpl	extractionPatterns(producesProduct, arg1 engineers designed arg2 0.0073260045027479055)	0.0073260045027479055
coupled_cpl	extractionPatterns(producesProduct, arg1 has confirmed that the arg2 0.003508772562346199)	0.003508772562346199
coupled_cpl	extractionPatterns(producesProduct, arg1 has released a new arg2 0.002791347011048943)	0.002791347011048943
coupled_cpl	extractionPatterns(producesProduct, arg1 has released an update for arg2 0.006402050175452074)	0.006402050175452074
coupled_cpl	extractionPatterns(producesProduct, arg1 introduced its arg2 0.005357145509256469)	0.005357145509256469
coupled_cpl	extractionPatterns(producesProduct, arg1 is a registered trademark and arg2 0.010309278128900859)	0.010309278128900859
coupled_cpl	extractionPatterns(producesProduct, arg1 is best known for its arg2 8.613264269577015E-4)	8.613264269577015E-4
coupled_cpl	extractionPatterns(producesProduct, arg1 is committed to making arg2 0.0034924317810810703)	0.0034924317810810703
coupled_cpl	extractionPatterns(producesProduct, arg1 is marketing arg2 0.003508772562346199)	0.003508772562346199
coupled_cpl	extractionPatterns(producesProduct, arg1 is still pushing arg2 0.0038412286600701105)	0.0038412286600701105
coupled_cpl	extractionPatterns(producesProduct, arg1 launched its arg2 8.759128134554648E-4)	8.759128134554648E-4
coupled_cpl	extractionPatterns(producesProduct, arg1 launched their arg2 0.002093510409965259)	0.002093510409965259
coupled_cpl	extractionPatterns(producesProduct, arg1 launches the arg2 0.008771933757847334)	0.008771933757847334
coupled_cpl	extractionPatterns(producesProduct, arg1 loses money on arg2 0.002791347011048943)	0.002791347011048943
coupled_cpl	extractionPatterns(producesProduct, arg1 machine running arg2 0.006185564550120323)	0.006185564550120323
coupled_cpl	extractionPatterns(producesProduct, arg1 patched arg2 0.006185564550120323)	0.006185564550120323
coupled_cpl	extractionPatterns(producesProduct, arg1 PCs running arg2 0.01699716013096872)	0.01699716013096872
coupled_cpl	extractionPatterns(producesProduct, arg1 plans to launch arg2 0.0034924317810810703)	0.0034924317810810703
coupled_cpl	extractionPatterns(producesProduct, arg1 platforms such as arg2 0.0038412286600701105)	0.0038412286600701105
coupled_cpl	extractionPatterns(producesProduct, arg1 revamped arg2 0.006048384907602117)	0.006048384907602117
coupled_cpl	extractionPatterns(producesProduct, arg1 rolled out arg2 0.00770925287094939)	0.00770925287094939
coupled_cpl	extractionPatterns(producesProduct, arg1 server running arg2 0.006185564550120323)	0.006185564550120323
coupled_cpl	extractionPatterns(producesProduct, arg1 Servers running arg2 0.005665721679169176)	0.005665721679169176
coupled_cpl	extractionPatterns(producesProduct, arg1 servers running arg2 0.01648352305069392)	0.01648352305069392
coupled_cpl	extractionPatterns(producesProduct, arg1 software including arg2 0.005820721825088214)	0.005820721825088214
coupled_cpl	extractionPatterns(producesProduct, arg1 touts arg2 0.005966588234176614)	0.005966588234176614
coupled_cpl	extractionPatterns(producesProduct, arg1 unleashed arg2 0.0012919895007619318)	0.0012919895007619318
coupled_cpl	extractionPatterns(producesProduct, arg1 unveils arg2 0.0012919895007619318)	0.0012919895007619318
coupled_cpl	extractionPatterns(producesProduct, arg1 will release the arg2 0.008905849241243886)	0.008905849241243886
coupled_cpl	extractionPatterns(producesProduct, arg2 and iTunes are trademarks of arg1 0.010309278128900859)	0.010309278128900859
coupled_cpl	extractionPatterns(producesProduct, arg2 are registered trademarks of arg1 0.010869560620099236)	0.010869560620099236
coupled_cpl	extractionPatterns(producesProduct, arg2 are trademarks of arg1 0.0018964264112259336)	0.0018964264112259336
coupled_cpl	extractionPatterns(producesProduct, arg2 debuted and arg1 0.008498581599987653)	0.008498581599987653
coupled_cpl	extractionPatterns(producesProduct, arg2 division at arg1 0.002791347011048943)	0.002791347011048943
coupled_cpl	extractionPatterns(producesProduct, arg2 is a trademark of arg1 0.0036381680754304386)	0.0036381680754304386
coupled_cpl	extractionPatterns(producesProduct, arg2 is trademark of arg1 0.008498581599987653)	0.008498581599987653
coupled_cpl	extractionPatterns(producesProduct, arg2 logo are registered trademarks of arg1 0.0046565753707309)	0.0046565753707309
coupled_cpl	extractionPatterns(producesProduct, arg2 logo are trademarks of arg1 0.00905432259948069)	0.00905432259948069
coupled_cpl	extractionPatterns(producesProduct, arg2 logo is a trademark of arg1 0.008498581599987653)	0.008498581599987653
coupled_cpl	extractionPatterns(producesProduct, arg2 Logo is a trademark of arg1 0.01133144131233374)	0.01133144131233374
coupled_cpl	extractionPatterns(producesProduct, arg2 marketing at arg1 0.008741259431343535)	0.008741259431343535
coupled_cpl	extractionPatterns(producesProduct, arg2 operating system and arg1 0.004938271044674569)	0.004938271044674569
coupled_cpl	extractionPatterns(producesProduct, arg2 operating system of arg1 0.008498581599987653)	0.008498581599987653
coupled_cpl	extractionPatterns(producesProduct, arg2 video game system from arg1 0.002791347011048943)	0.002791347011048943
coupled_cpl	extractionPatterns(product, application such as _ 0.03650138769774859)	0.03650138769774859
coupled_cpl	extractionPatterns(product, binaries for _ 0.19918026699671518)	0.19918026699671518
coupled_cpl	extractionPatterns(product, certain versions of _ 0.21035598852795162)	0.21035598852795162
coupled_cpl	extractionPatterns(product, client like _ 0.22061195070279413)	0.22061195070279413
coupled_cpl	extractionPatterns(product, client such as _ 0.24514559000809802)	0.24514559000809802
coupled_cpl	extractionPatterns(product, computer running _ 0.2213907586707366)	0.2213907586707366
coupled_cpl	extractionPatterns(product, computers running _ 0.29981100085725687)	0.29981100085725687
coupled_cpl	extractionPatterns(product, DD-bit version of _ 0.2684490878389345)	0.2684490878389345
coupled_cpl	extractionPatterns(product, desktop version of _ 0.20772940162120732)	0.20772940162120732
coupled_cpl	extractionPatterns(product, earlier versions of _ 0.12553458257537636)	0.12553458257537636
coupled_cpl	extractionPatterns(product, Earlier versions of _ 0.21325044624962375)	0.21325044624962375
coupled_cpl	extractionPatterns(product, editor such as _ 0.27824451542002276)	0.27824451542002276
coupled_cpl	extractionPatterns(product, emulator for _ 0.2297436860389831)	0.2297436860389831
coupled_cpl	extractionPatterns(product, free version of _ 0.22174238474623842)	0.22174238474623842
coupled_cpl	extractionPatterns(product, fresh install of _ 0.19741108471260738)	0.19741108471260738
coupled_cpl	extractionPatterns(productInstanceOf, arg1 as a web arg2 0.0053652516399569595)	0.0053652516399569595
coupled_cpl	extractionPatterns(productInstanceOf, arg1 as the underlying arg2 0.0019990004467043345)	0.0019990004467043345
coupled_cpl	extractionPatterns(productInstanceOf, arg1 based operating arg2 0.036217313536436625)	0.036217313536436625
coupled_cpl	extractionPatterns(productInstanceOf, arg1 based web arg2 0.009546535167564152)	0.009546535167564152
coupled_cpl	extractionPatterns(productInstanceOf, arg1 brand arg2 1.0476906614718105E-4)	1.0476906614718105E-4
coupled_cpl	extractionPatterns(productInstanceOf, arg1 DD or later arg2 2.3220707958417514E-4)	2.3220707958417514E-4
coupled_cpl	extractionPatterns(productInstanceOf, arg1 emulation arg2 0.036101097949219424)	0.036101097949219424
coupled_cpl	extractionPatterns(productInstanceOf, arg1 is an example of arg2 2.504172578467657E-4)	2.504172578467657E-4
coupled_cpl	extractionPatterns(productInstanceOf, arg1 is an open source arg2 0.0036801601821148575)	0.0036801601821148575
coupled_cpl	extractionPatterns(productInstanceOf, arg1 is the most popular arg2 1.7580871509899375E-4)	1.7580871509899375E-4
coupled_cpl	extractionPatterns(productInstanceOf, arg1 open source arg2 0.0037163658880535176)	0.0037163658880535176
coupled_cpl	extractionPatterns(productInstanceOf, arg1 operating arg2 0.05673908363378509)	0.05673908363378509
coupled_cpl	extractionPatterns(productInstanceOf, arg1 operating system arg2 0.010721941818048215)	0.010721941818048215
coupled_cpl	extractionPatterns(productInstanceOf, arg1 or Linux arg2 0.008178438819043315)	0.008178438819043315
coupled_cpl	extractionPatterns(productInstanceOf, arg1 or Mac arg2 0.023138832783431353)	0.023138832783431353
coupled_cpl	extractionPatterns(productInstanceOf, arg1 or Macintosh arg2 0.021126755681686853)	0.021126755681686853
coupled_cpl	extractionPatterns(productInstanceOf, arg1 video editing arg2 0.002843601205427735)	0.002843601205427735
coupled_cpl	extractionPatterns(productInstanceOf, arg1 Vista operating arg2 0.6146882808987331)	0.6146882808987331
coupled_cpl	extractionPatterns(productInstanceOf, arg1 web arg2 0.002535929607721516)	0.002535929607721516
coupled_cpl	extractionPatterns(productInstanceOf, arg1 web server arg2 0.0047393371254790305)	0.0047393371254790305
coupled_cpl	extractionPatterns(productInstanceOf, arg1 XP as arg2 0.008178438819043315)	0.008178438819043315
coupled_cpl	extractionPatterns(productInstanceOf, arg1 XP compatible arg2 0.009345792845438503)	0.009345792845438503
coupled_cpl	extractionPatterns(productInstanceOf, arg2 application like arg1 0.002004008207918884)	0.002004008207918884
coupled_cpl	extractionPatterns(productInstanceOf, arg2 application similar to arg1 0.0012024044723657902)	0.0012024044723657902
coupled_cpl	extractionPatterns(productInstanceOf, arg2 applications like arg1 0.0012024044723657902)	0.0012024044723657902
coupled_cpl	extractionPatterns(productInstanceOf, arg2 applications such as arg1 7.903892597467706E-4)	7.903892597467706E-4
coupled_cpl	extractionPatterns(productInstanceOf, arg2 application such as arg1 0.013084106887636303)	0.013084106887636303
coupled_cpl	extractionPatterns(productInstanceOf, arg2 is written in arg1 0.003384913252423149)	0.003384913252423149
coupled_cpl	extractionPatterns(productInstanceOf, arg2 of choice is arg1 0.0029985003458941144)	0.0029985003458941144
coupled_cpl	extractionPatterns(productInstanceOf, arg2 package arg1 8.88550566302221E-4)	8.88550566302221E-4
coupled_cpl	extractionPatterns(productInstanceOf, arg2 package called arg1 0.0024987516795345376)	0.0024987516795345376
coupled_cpl	extractionPatterns(productInstanceOf, arg2 packages like arg1 0.011214956385061571)	0.011214956385061571
coupled_cpl	extractionPatterns(productInstanceOf, arg2 packages such as arg1 0.0034910769803983394)	0.0034910769803983394
coupled_cpl	extractionPatterns(productInstanceOf, arg2 package such as arg1 0.0016032058469992643)	0.0016032058469992643
coupled_cpl	extractionPatterns(productInstanceOf, arg2 products are arg1 3.483105817210432E-4)	3.483105817210432E-4
coupled_cpl	extractionPatterns(productInstanceOf, arg2 program like arg1 0.01154068108668915)	0.01154068108668915
coupled_cpl	extractionPatterns(productInstanceOf, arg2 program similar to arg1 3.483105817210432E-4)	3.483105817210432E-4
coupled_cpl	extractionPatterns(productInstanceOf, arg2 programs including arg1 0.0011610354995879903)	0.0011610354995879903
coupled_cpl	extractionPatterns(productInstanceOf, arg2 programs like arg1 0.003533568542908986)	0.003533568542908986
coupled_cpl	extractionPatterns(productInstanceOf, arg2 programs such as arg1 0.00245098081961808)	0.00245098081961808
coupled_cpl	extractionPatterns(productInstanceOf, arg2 program such as arg1 0.01627409010463009)	0.01627409010463009
coupled_cpl	extractionPatterns(productInstanceOf, arg2 requirements are arg1 0.0033175358018500533)	0.0033175358018500533
coupled_cpl	extractionPatterns(productInstanceOf, arg2 runs under arg1 0.015613380624953948)	0.015613380624953948
coupled_cpl	extractionPatterns(productInstanceOf, arg2 software like arg1 0.002590674532292485)	0.002590674532292485
coupled_cpl	extractionPatterns(productInstanceOf, arg2 software such as arg1 0.0036630029127654963)	0.0036630029127654963
coupled_cpl	extractionPatterns(productInstanceOf, arg2 that competes with arg1 0.001163692662720359)	0.001163692662720359
coupled_cpl	extractionPatterns(productInstanceOf, arg2 that runs on arg1 0.011951218969391926)	0.011951218969391926
coupled_cpl	extractionPatterns(product, language like _ 0.2145767061736861)	0.2145767061736861
coupled_cpl	extractionPatterns(product, languages like _ 0.20012021860362939)	0.20012021860362939
coupled_cpl	extractionPatterns(product, language such as _ 0.20506485172371877)	0.20506485172371877
coupled_cpl	extractionPatterns(product, laptop running _ 0.29104482088828204)	0.29104482088828204
coupled_cpl	extractionPatterns(product, later versions of _ 0.22710632025156424)	0.22710632025156424
coupled_cpl	extractionPatterns(product, machine running _ 0.2034581390853305)	0.2034581390853305
coupled_cpl	extractionPatterns(product, machines running _ 0.19617228514680063)	0.19617228514680063
coupled_cpl	extractionPatterns(product, major release of _ 0.21266970448399036)	0.21266970448399036
coupled_cpl	extractionPatterns(product, modern versions of _ 0.2045059926534053)	0.2045059926534053
coupled_cpl	extractionPatterns(product, newer versions of _ 0.21078829298108054)	0.21078829298108054
coupled_cpl	extractionPatterns(product, next version of _ 0.13715947212531399)	0.13715947212531399
coupled_cpl	extractionPatterns(product, older version of _ 0.19659883441495457)	0.19659883441495457
coupled_cpl	extractionPatterns(product, older versions of _ 0.12650024930828777)	0.12650024930828777
coupled_cpl	extractionPatterns(product, Older versions of _ 0.23296035269560714)	0.23296035269560714
coupled_cpl	extractionPatterns(product, other versions of _ 0.22471462839915252)	0.22471462839915252
coupled_cpl	extractionPatterns(product, PC running _ 0.5614469434540772)	0.5614469434540772
coupled_cpl	extractionPatterns(product, PCs running _ 0.5882354418012953)	0.5882354418012953
coupled_cpl	extractionPatterns(product, platforms , including _ 0.2170110511022328)	0.2170110511022328
coupled_cpl	extractionPatterns(product, platforms including _ 0.33265711638912354)	0.33265711638912354
coupled_cpl	extractionPatterns(product, platforms like _ 0.22748271989078428)	0.22748271989078428
coupled_cpl	extractionPatterns(product, platforms such as _ 0.21344544625892498)	0.21344544625892498
coupled_cpl	extractionPatterns(product, playable on _ 0.07255241592997286)	0.07255241592997286
coupled_cpl	extractionPatterns(product, playback on _ 0.03530315296181523)	0.03530315296181523
coupled_cpl	extractionPatterns(product, plug-in for _ 0.1998760209297326)	0.1998760209297326
coupled_cpl	extractionPatterns(product, previous versions of _ 0.2086466766377031)	0.2086466766377031
coupled_cpl	extractionPatterns(product, program like _ 0.03382906279307362)	0.03382906279307362
coupled_cpl	extractionPatterns(product, program such as _ 0.035444790154707084)	0.035444790154707084
coupled_cpl	extractionPatterns(product, Recent versions of _ 0.2152104268420499)	0.2152104268420499
coupled_cpl	extractionPatterns(product, recent versions of _ 0.2427221270573785)	0.2427221270573785
coupled_cpl	extractionPatterns(product, server running _ 0.20281237265077104)	0.20281237265077104
coupled_cpl	extractionPatterns(product, servers running _ 0.24266291008314111)	0.24266291008314111
coupled_cpl	extractionPatterns(product, servers such as _ 0.23499148489119892)	0.23499148489119892
coupled_cpl	extractionPatterns(product, systems running _ 0.22432015144653888)	0.22432015144653888
coupled_cpl	extractionPatterns(product, text editor for _ 0.28762147104312696)	0.28762147104312696
coupled_cpl	extractionPatterns(productType, air cooled _ 0.17640566877731007)	0.17640566877731007
coupled_cpl	extractionPatterns(productType, _ approved for 0.014678550506647578)	0.014678550506647578
coupled_cpl	extractionPatterns(productType, beat up _ 0.20143893412054795)	0.20143893412054795
coupled_cpl	extractionPatterns(productType, buy used _ 0.08136232100950133)	0.08136232100950133
coupled_cpl	extractionPatterns(productType, cell powered _ 0.26516844855881977)	0.26516844855881977
coupled_cpl	extractionPatterns(productType, diesel powered _ 0.2557727305740303)	0.2557727305740303
coupled_cpl	extractionPatterns(productType, engine driven _ 0.19642865352331296)	0.19642865352331296
coupled_cpl	extractionPatterns(productType, fuel efficient _ 0.23379631299001896)	0.23379631299001896
coupled_cpl	extractionPatterns(productType, gasoline powered _ 0.2607450940613048)	0.2607450940613048
coupled_cpl	extractionPatterns(productType, gas powered _ 0.2614108425196932)	0.2614108425196932
coupled_cpl	extractionPatterns(productType, _ had crashed into 0.2802419336887072)	0.2802419336887072
coupled_cpl	extractionPatterns(productType, horse drawn _ 0.19118819918754312)	0.19118819918754312
coupled_cpl	extractionPatterns(productType, hydrogen powered _ 0.25604834619723044)	0.25604834619723044
coupled_cpl	extractionPatterns(productType, _ is hosted at 0.1989205062790177)	0.1989205062790177
coupled_cpl	extractionPatterns(productType, _ is hosted by 0.22228898708886755)	0.22228898708886755
coupled_cpl	extractionPatterns(productType, _ is hosted on 0.16884789481674572)	0.16884789481674572
coupled_cpl	extractionPatterns(productType, _ is maintained by 0.1571219537013007)	0.1571219537013007
coupled_cpl	extractionPatterns(productType, _ is parked in 0.39926057702599294)	0.39926057702599294
coupled_cpl	extractionPatterns(productType, _ is parked on 0.2988764505047602)	0.2988764505047602
coupled_cpl	extractionPatterns(productType, _ is updated with 0.17500005338526717)	0.17500005338526717
coupled_cpl	extractionPatterns(productType, _ left the road 0.1933593314757605)	0.1933593314757605
coupled_cpl	extractionPatterns(productType, make of _ 0.10438294280248857)	0.10438294280248857
coupled_cpl	extractionPatterns(productType, makes of _ 0.17473949746808642)	0.17473949746808642
coupled_cpl	extractionPatterns(productType, _ offers information 0.18048673395578596)	0.18048673395578596
coupled_cpl	extractionPatterns(productType, _ parked across 0.26020408852967236)	0.26020408852967236
coupled_cpl	extractionPatterns(productType, _ parked along 0.34386607990789314)	0.34386607990789314
coupled_cpl	extractionPatterns(productType, _ parked at 0.15597664413884554)	0.15597664413884554
coupled_cpl	extractionPatterns(productType, _ parked behind 0.26020408852967236)	0.26020408852967236
coupled_cpl	extractionPatterns(productType, _ parked by 0.22396846909586982)	0.22396846909586982
coupled_cpl	extractionPatterns(productType, _ parked in 0.17528886653429576)	0.17528886653429576
coupled_cpl	extractionPatterns(productType, _ parked near 0.2428114652373525)	0.2428114652373525
coupled_cpl	extractionPatterns(productType, _ parked on 0.20527494568163204)	0.20527494568163204
coupled_cpl	extractionPatterns(productType, _ parked outside 0.21933961432386637)	0.21933961432386637
coupled_cpl	extractionPatterns(productType, parts , used _ 0.2494382224152448)	0.2494382224152448
coupled_cpl	extractionPatterns(productType, quality used _ 0.31184406742515103)	0.31184406742515103
coupled_cpl	extractionPatterns(productType, radio controlled _ 0.18808185725221066)	0.18808185725221066
coupled_cpl	extractionPatterns(productType, _ running while 0.055818328264818126)	0.055818328264818126
coupled_cpl	extractionPatterns(productType, sale used _ 0.20155197306704944)	0.20155197306704944
coupled_cpl	extractionPatterns(productType, same class of _ 0.048249780520761294)	0.048249780520761294
coupled_cpl	extractionPatterns(productType, truck used _ 0.21309717428664393)	0.21309717428664393
coupled_cpl	extractionPatterns(productType, _ was broken into 0.1869158057771984)	0.1869158057771984
coupled_cpl	extractionPatterns(productType, wash with _ 0.10122991125893349)	0.10122991125893349
coupled_cpl	extractionPatterns(productType, _ was parked at 0.21021614829761048)	0.21021614829761048
coupled_cpl	extractionPatterns(productType, _ was parked in 0.25876292084925673)	0.25876292084925673
coupled_cpl	extractionPatterns(productType, _ was parked on 0.2516854966687141)	0.2516854966687141
coupled_cpl	extractionPatterns(productType, wind powered _ 0.2168366443380607)	0.2168366443380607
coupled_cpl	extractionPatterns(product, users running _ 0.24405711578391942)	0.24405711578391942
coupled_cpl	extractionPatterns(professionalOrganization, academic societies such as _ 0.17647059800966608)	0.17647059800966608
coupled_cpl	extractionPatterns(professionalOrganization, _ accredited doctoral program 0.17857135673949723)	0.17857135673949723
coupled_cpl	extractionPatterns(professionalOrganization, active student chapter of _ 0.24137923332822347)	0.24137923332822347
coupled_cpl	extractionPatterns(professionalOrganization, affiliate chapter of _ 0.20689662636382428)	0.20689662636382428
coupled_cpl	extractionPatterns(professionalOrganization, allied member of _ 0.22727262293734563)	0.22727262293734563
coupled_cpl	extractionPatterns(professionalOrganization, audiences drawn from _ 0.17647059800966608)	0.17647059800966608
coupled_cpl	extractionPatterns(professionalOrganization, brochure , published by _ 0.17647059800966608)	0.17647059800966608
coupled_cpl	extractionPatterns(professionalOrganization, chapters published by _ 0.18181819858880538)	0.18181819858880538
coupled_cpl	extractionPatterns(professionalOrganization, conference proceedings published by _ 0.35087719097563475)	0.35087719097563475
coupled_cpl	extractionPatterns(professionalOrganization, degrees accredited by _ 0.19047620506734006)	0.19047620506734006
coupled_cpl	extractionPatterns(professionalOrganization, diagnostic manual of _ 0.32000009062028956)	0.32000009062028956
coupled_cpl	extractionPatterns(professionalOrganization, Fellow member of _ 0.17857135673949723)	0.17857135673949723
coupled_cpl	extractionPatterns(professionalOrganization, flagship journal of _ 0.19444440349460365)	0.19444440349460365
coupled_cpl	extractionPatterns(professionalOrganization, formats recommended by _ 0.4800000840385036)	0.4800000840385036
coupled_cpl	extractionPatterns(professionalOrganization, _ is a leading authority 0.17647059800966608)	0.17647059800966608
coupled_cpl	extractionPatterns(professionalOrganization, _ is an authorized provider 0.19444440349460365)	0.19444440349460365
coupled_cpl	extractionPatterns(professionalOrganization, _ is an international professional society 0.19999998248682085)	0.19999998248682085
coupled_cpl	extractionPatterns(professionalOrganization, _ is a nonprofit public interest 0.17647059800966608)	0.17647059800966608
coupled_cpl	extractionPatterns(professionalOrganization, local student chapter of _ 0.24000008535365014)	0.24000008535365014
coupled_cpl	extractionPatterns(professionalOrganization, medical associations , including _ 0.17857135673949723)	0.17857135673949723
coupled_cpl	extractionPatterns(professionalOrganization, medical groups , including _ 0.19047620506734006)	0.19047620506734006
coupled_cpl	extractionPatterns(professionalOrganization, medical journal published by _ 0.20689662636382428)	0.20689662636382428
coupled_cpl	extractionPatterns(professionalOrganization, medical organizations , including _ 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(professionalOrganization, new officers on _ 0.19047620506734006)	0.19047620506734006
coupled_cpl	extractionPatterns(professionalOrganization, _ offers many membership benefits 0.17647059800966608)	0.17647059800966608
coupled_cpl	extractionPatterns(professionalOrganization, paper awards from _ 0.20689662636382428)	0.20689662636382428
coupled_cpl	extractionPatterns(professionalOrganization, professional institute of _ 0.20689662636382428)	0.20689662636382428
coupled_cpl	extractionPatterns(professionalOrganization, professional membership in _ 0.16326526635605232)	0.16326526635605232
coupled_cpl	extractionPatterns(professionalOrganization, professional societies such as _ 0.16981137784799305)	0.16981137784799305
coupled_cpl	extractionPatterns(professionalOrganization, professional societies , such as _ 0.17857135673949723)	0.17857135673949723
coupled_cpl	extractionPatterns(professionalOrganization, _ removed homosexuality 0.17857135673949723)	0.17857135673949723
coupled_cpl	extractionPatterns(professionalOrganization, scientific journal published by _ 0.19047620506734006)	0.19047620506734006
coupled_cpl	extractionPatterns(professionalOrganization, senior member of _ 0.144345290351077)	0.144345290351077
coupled_cpl	extractionPatterns(professionalOrganization, Senior member of _ 0.347222324356909)	0.347222324356909
coupled_cpl	extractionPatterns(professionalOrganization, several professional societies including _ 0.17391301822769906)	0.17391301822769906
coupled_cpl	extractionPatterns(professionalOrganization, specialties recognized by _ 0.5600002773417163)	0.5600002773417163
coupled_cpl	extractionPatterns(professionalOrganization, student affiliate of _ 0.2051282265538084)	0.2051282265538084
coupled_cpl	extractionPatterns(professionalOrganization, student affiliates of _ 0.32000009062028956)	0.32000009062028956
coupled_cpl	extractionPatterns(professionalOrganization, student branch of _ 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(professionalOrganization, student chapters of _ 0.20454546611905433)	0.20454546611905433
coupled_cpl	extractionPatterns(professionalOrganization, student member of _ 0.13176898543090496)	0.13176898543090496
coupled_cpl	extractionPatterns(professionalOrganization, student memberships in _ 0.3103449059949165)	0.3103449059949165
coupled_cpl	extractionPatterns(professionalOrganization, style guidelines of _ 0.3030304449916801)	0.3030304449916801
coupled_cpl	extractionPatterns(professionalOrganization, style manual of _ 0.17857135673949723)	0.17857135673949723
coupled_cpl	extractionPatterns(professionalOrganization, style recommended by _ 0.48275837948961253)	0.48275837948961253
coupled_cpl	extractionPatterns(professionalOrganization, styles recommended by _ 0.20833331623205179)	0.20833331623205179
coupled_cpl	extractionPatterns(professionalOrganization, technical society within _ 0.20833331623205179)	0.20833331623205179
coupled_cpl	extractionPatterns(professionalOrganization, text journals published by _ 0.19047620506734006)	0.19047620506734006
coupled_cpl	extractionPatterns(professionalOrganization, training program is accredited by _ 0.19999998248682085)	0.19999998248682085
coupled_cpl	extractionPatterns(professionalOrganization, voting members of _ 0.16774186484738185)	0.16774186484738185
coupled_cpl	extractionPatterns(profession, _ are prohibited from 0.29211929956433397)	0.29211929956433397
coupled_cpl	extractionPatterns(profession, board of _ 0.39871077485155015)	0.39871077485155015
coupled_cpl	extractionPatterns(profession, cadre of _ 0.2704762459212086)	0.2704762459212086
coupled_cpl	extractionPatterns(profession, career in academic _ 0.36950906712168563)	0.36950906712168563
coupled_cpl	extractionPatterns(profession, careers as _ 0.07613227431601241)	0.07613227431601241
coupled_cpl	extractionPatterns(profession, clinical professor of _ 0.46585726036875136)	0.46585726036875136
coupled_cpl	extractionPatterns(profession, cohort of _ 0.22864447333976443)	0.22864447333976443
coupled_cpl	extractionPatterns(profession, collaboration among _ 0.2510317133057236)	0.2510317133057236
coupled_cpl	extractionPatterns(profession, collaboration with other _ 0.2798733778668941)	0.2798733778668941
coupled_cpl	extractionPatterns(profession, communication among _ 0.2752027996026355)	0.2752027996026355
coupled_cpl	extractionPatterns(profession, consensus among _ 0.2625063517763419)	0.2625063517763419
coupled_cpl	extractionPatterns(profession, cooperation with other _ 0.2740600598722729)	0.2740600598722729
coupled_cpl	extractionPatterns(profession, core group of _ 0.2627364080904519)	0.2627364080904519
coupled_cpl	extractionPatterns(profession, course is designed for _ 0.3085883780506276)	0.3085883780506276
coupled_cpl	extractionPatterns(profession, course is intended for _ 0.23609098938963372)	0.23609098938963372
coupled_cpl	extractionPatterns(profession, debate among _ 0.25676140770045947)	0.25676140770045947
coupled_cpl	extractionPatterns(profession, dedicated team of _ 0.2303054057008526)	0.2303054057008526
coupled_cpl	extractionPatterns(profession, development opportunities for _ 0.273826933970462)	0.273826933970462
coupled_cpl	extractionPatterns(profession, discussion among _ 0.2593367159624283)	0.2593367159624283
coupled_cpl	extractionPatterns(profession, diverse group of _ 0.23339896350316913)	0.23339896350316913
coupled_cpl	extractionPatterns(profession, educational opportunities for _ 0.2292074019367628)	0.2292074019367628
coupled_cpl	extractionPatterns(profession, educational programs for _ 0.265336353323009)	0.265336353323009
coupled_cpl	extractionPatterns(profession, experienced team of _ 0.23802608749357543)	0.23802608749357543
coupled_cpl	extractionPatterns(profession, general practice of _ 0.389952243468989)	0.389952243468989
coupled_cpl	extractionPatterns(profession, group of local _ 0.2626975259794017)	0.2626975259794017
coupled_cpl	extractionPatterns(profession, information with other _ 0.2742799442021208)	0.2742799442021208
coupled_cpl	extractionPatterns(profession, interaction among _ 0.2569658711466447)	0.2569658711466447
coupled_cpl	extractionPatterns(profession, interaction with other _ 0.2778513557046445)	0.2778513557046445
coupled_cpl	extractionPatterns(profession, international team of _ 0.3428788847012495)	0.3428788847012495
coupled_cpl	extractionPatterns(profession, needs of individual _ 0.38950561416544494)	0.38950561416544494
coupled_cpl	extractionPatterns(profession, network with other _ 0.27724519051711366)	0.27724519051711366
coupled_cpl	extractionPatterns(profession, number of foreign _ 0.2747603543407412)	0.2747603543407412
coupled_cpl	extractionPatterns(profession, partnership with other _ 0.3379700489498002)	0.3379700489498002
coupled_cpl	extractionPatterns(profession, private practice of _ 0.5836428741926343)	0.5836428741926343
coupled_cpl	extractionPatterns(profession, professional development for _ 0.4408026541280154)	0.4408026541280154
coupled_cpl	extractionPatterns(profession, professional development of _ 0.10276792379413413)	0.10276792379413413
coupled_cpl	extractionPatterns(profession, professionals such as _ 0.16064456906476748)	0.16064456906476748
coupled_cpl	extractionPatterns(profession, program is designed for _ 0.2873860054946465)	0.2873860054946465
coupled_cpl	extractionPatterns(profession, program prepares _ 0.5880260672548945)	0.5880260672548945
coupled_cpl	extractionPatterns(profession, relationships with other _ 0.2644706494509399)	0.2644706494509399
coupled_cpl	extractionPatterns(profession, rule of _ 0.28413352297130956)	0.28413352297130956
coupled_cpl	extractionPatterns(profession, seminars for _ 0.23180773021302256)	0.23180773021302256
coupled_cpl	extractionPatterns(profession, shortage of qualified _ 0.0581054973987846)	0.0581054973987846
coupled_cpl	extractionPatterns(profession, small groups of _ 0.2568330541274197)	0.2568330541274197
coupled_cpl	extractionPatterns(profession, team of experienced _ 0.3019417986143957)	0.3019417986143957
coupled_cpl	extractionPatterns(profession, team of professional _ 0.2813505157439593)	0.2813505157439593
coupled_cpl	extractionPatterns(profession, teams of _ 0.2392835568423867)	0.2392835568423867
coupled_cpl	extractionPatterns(profession, university school of _ 0.3643410133691996)	0.3643410133691996
coupled_cpl	extractionPatterns(profession, work of other _ 0.2487942572938141)	0.2487942572938141
coupled_cpl	extractionPatterns(profession, workshops for _ 0.06856150865832425)	0.06856150865832425
coupled_cpl	extractionPatterns(reptile, adults , green _ 0.37500009487940933)	0.37500009487940933
coupled_cpl	extractionPatterns(reptile, arboreal species of _ 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(reptile, _ are disoriented by 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(reptile, _ basking along 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(reptile, beaches are used by _ 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(reptile, birds , giant _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(reptile, blue tongued _ 0.44444454054060095)	0.44444454054060095
coupled_cpl	extractionPatterns(reptile, _ crawling within 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(reptile, crocodiles , green _ 0.37500009487940933)	0.37500009487940933
coupled_cpl	extractionPatterns(reptile, exhibit of live _ 0.294117774006532)	0.294117774006532
coupled_cpl	extractionPatterns(reptile, family of venomous _ 0.38095234134994)	0.38095234134994
coupled_cpl	extractionPatterns(reptile, _ gave live birth 0.29999994129778657)	0.29999994129778657
coupled_cpl	extractionPatterns(reptile, ground for green _ 0.5555553693900973)	0.5555553693900973
coupled_cpl	extractionPatterns(reptile, huge coils of _ 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(reptile, iguanas , giant _ 0.5999997742596369)	0.5999997742596369
coupled_cpl	extractionPatterns(reptile, incidental capture of _ 0.2727272683991621)	0.2727272683991621
coupled_cpl	extractionPatterns(reptile, _ include unsustainable exploitation 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(reptile, _ including caimans 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(reptile, insects were eaten by _ 0.5999997742596369)	0.5999997742596369
coupled_cpl	extractionPatterns(reptile, life , including giant _ 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(reptile, lizards , called _ 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(reptile, lizards look like _ 0.44444454054060095)	0.44444454054060095
coupled_cpl	extractionPatterns(reptile, lizards , such as _ 0.29999994129778657)	0.29999994129778657
coupled_cpl	extractionPatterns(reptile, lizards such as _ 0.29999994129778657)	0.29999994129778657
coupled_cpl	extractionPatterns(reptile, major breeding area for _ 0.37500009487940933)	0.37500009487940933
coupled_cpl	extractionPatterns(reptile, manatees , giant _ 0.37500009487940933)	0.37500009487940933
coupled_cpl	extractionPatterns(reptile, nesting beaches for _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(reptile, nesting site for green _ 0.6999999607571137)	0.6999999607571137
coupled_cpl	extractionPatterns(reptile, other snakes , including _ 0.42857136873737717)	0.42857136873737717
coupled_cpl	extractionPatterns(reptile, Other species including _ 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(reptile, poisonous venom of _ 0.37500009487940933)	0.37500009487940933
coupled_cpl	extractionPatterns(reptile, population of green _ 0.39285723611233847)	0.39285723611233847
coupled_cpl	extractionPatterns(reptile, populations of green _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(reptile, quality captive bred _ 0.2727272683991621)	0.2727272683991621
coupled_cpl	extractionPatterns(reptile, rays , green _ 0.37500009487940933)	0.37500009487940933
coupled_cpl	extractionPatterns(reptile, release of tagged _ 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(reptile, reptile , including _ 0.44444454054060095)	0.44444454054060095
coupled_cpl	extractionPatterns(reptile, reptiles except _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(reptile, reptiles including _ 0.36538452017087303)	0.36538452017087303
coupled_cpl	extractionPatterns(reptile, reptiles known as _ 0.2777777348505767)	0.2777777348505767
coupled_cpl	extractionPatterns(reptile, reptiles , like _ 0.36000008911152426)	0.36000008911152426
coupled_cpl	extractionPatterns(reptile, river infested with _ 0.5999997742596369)	0.5999997742596369
coupled_cpl	extractionPatterns(reptile, sea lions , giant _ 0.5555553693900973)	0.5555553693900973
coupled_cpl	extractionPatterns(reptile, species of horned _ 0.6428569836079735)	0.6428569836079735
coupled_cpl	extractionPatterns(reptile, species of venomous _ 0.655172316054512)	0.655172316054512
coupled_cpl	extractionPatterns(reptile, swamp filled with _ 0.35294113229229485)	0.35294113229229485
coupled_cpl	extractionPatterns(reptile, turtles , green _ 0.7142858833008864)	0.7142858833008864
coupled_cpl	extractionPatterns(reptile, venom gland of _ 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(reptile, vertebrate prey such as _ 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(reptile, yellow spotted _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(room, accommodations , fine _ 0.654761651769053)	0.654761651769053
coupled_cpl	extractionPatterns(room, accommodations with full _ 0.6315791553969439)	0.6315791553969439
coupled_cpl	extractionPatterns(room, air-conditioning , ensuite _ 0.7142858833008864)	0.7142858833008864
coupled_cpl	extractionPatterns(room, apartments have full _ 0.6249997682786277)	0.6249997682786277
coupled_cpl	extractionPatterns(room, apartments with full _ 0.6721310114136063)	0.6721310114136063
coupled_cpl	extractionPatterns(room, balcony , full _ 0.6666667387387801)	0.6666667387387801
coupled_cpl	extractionPatterns(room, bath , full _ 0.6578949571435797)	0.6578949571435797
coupled_cpl	extractionPatterns(room, bathroom , full _ 0.6756757349838024)	0.6756757349838024
coupled_cpl	extractionPatterns(room, bedroom , second _ 0.4615384099539175)	0.4615384099539175
coupled_cpl	extractionPatterns(room, bedrooms , full _ 0.3720931696572497)	0.3720931696572497
coupled_cpl	extractionPatterns(room, bedrooms with en-suite _ 0.6060607805530489)	0.6060607805530489
coupled_cpl	extractionPatterns(room, bed , second _ 0.6875003089910393)	0.6875003089910393
coupled_cpl	extractionPatterns(room, cabins have full _ 0.5142858704194089)	0.5142858704194089
coupled_cpl	extractionPatterns(room, cabin with full _ 0.6499999454600975)	0.6499999454600975
coupled_cpl	extractionPatterns(room, closets , spacious _ 0.3428572840119422)	0.3428572840119422
coupled_cpl	extractionPatterns(room, condos with full _ 0.4230770352867159)	0.4230770352867159
coupled_cpl	extractionPatterns(room, double room with private _ 0.5789471984236444)	0.5789471984236444
coupled_cpl	extractionPatterns(room, fireplace , formal _ 0.9047623196468888)	0.9047623196468888
coupled_cpl	extractionPatterns(room, fireplace , full _ 0.6333335882473374)	0.6333335882473374
coupled_cpl	extractionPatterns(room, full kitchen , separate _ 0.7333332807561508)	0.7333332807561508
coupled_cpl	extractionPatterns(room, _ has an ensuite 0.3999998927496764)	0.3999998927496764
coupled_cpl	extractionPatterns(room, _ has a shower stall 0.5454544383110917)	0.5454544383110917
coupled_cpl	extractionPatterns(room, high humidity areas such as _ 0.7142858833008864)	0.7142858833008864
coupled_cpl	extractionPatterns(room, _ including coffee maker 0.6938773938533201)	0.6938773938533201
coupled_cpl	extractionPatterns(room, kitchen , formal _ 0.8518515537677975)	0.8518515537677975
coupled_cpl	extractionPatterns(room, living area , full _ 0.6923075400867749)	0.6923075400867749
coupled_cpl	extractionPatterns(room, living room , formal _ 0.7999996410514483)	0.7999996410514483
coupled_cpl	extractionPatterns(room, living room , full _ 0.7681156279043003)	0.7681156279043003
coupled_cpl	extractionPatterns(room, living room , separate _ 0.6666667387387801)	0.6666667387387801
coupled_cpl	extractionPatterns(room, living room , spacious _ 0.7500000543388377)	0.7500000543388377
coupled_cpl	extractionPatterns(room, living room with separate _ 0.6923075400867749)	0.6923075400867749
coupled_cpl	extractionPatterns(room, lounge , separate _ 0.5333331516919638)	0.5333331516919638
coupled_cpl	extractionPatterns(room, luxury fitted _ 0.8499999400731109)	0.8499999400731109
coupled_cpl	extractionPatterns(room, modern fitted _ 0.7943921881083429)	0.7943921881083429
coupled_cpl	extractionPatterns(room, _ remodeling estimate 0.6315791553969439)	0.6315791553969439
coupled_cpl	extractionPatterns(room, _ remodeling idea 0.731092710737482)	0.731092710737482
coupled_cpl	extractionPatterns(room, _ remodeling photos 0.727272531722597)	0.727272531722597
coupled_cpl	extractionPatterns(room, _ remodeling pictures 0.6388887116144715)	0.6388887116144715
coupled_cpl	extractionPatterns(room, room , eat-in _ 0.9818183179651478)	0.9818183179651478
coupled_cpl	extractionPatterns(room, room includes private _ 0.7333332807561508)	0.7333332807561508
coupled_cpl	extractionPatterns(room, rooms equipped with private _ 0.6923075400867749)	0.6923075400867749
coupled_cpl	extractionPatterns(room, self contained with full _ 0.6875003089910393)	0.6875003089910393
coupled_cpl	extractionPatterns(room, sofa bed , full _ 0.6666667387387801)	0.6666667387387801
coupled_cpl	extractionPatterns(room, sofa , full _ 0.7058821371305383)	0.7058821371305383
coupled_cpl	extractionPatterns(room, suites with ensuite _ 0.6666667387387801)	0.6666667387387801
coupled_cpl	extractionPatterns(room, suites with full _ 0.6991870332050926)	0.6991870332050926
coupled_cpl	extractionPatterns(room, tub , full _ 0.6875003089910393)	0.6875003089910393
coupled_cpl	extractionPatterns(room, TV , complete _ 0.6923075400867749)	0.6923075400867749
coupled_cpl	extractionPatterns(room, units have full _ 0.4843749413298519)	0.4843749413298519
coupled_cpl	extractionPatterns(room, units with full _ 0.565217311307787)	0.565217311307787
coupled_cpl	extractionPatterns(scientist, atheists like _ 0.1510792115363685)	0.1510792115363685
coupled_cpl	extractionPatterns(scientist, _ believed science 0.17647059800966608)	0.17647059800966608
coupled_cpl	extractionPatterns(scientist, controversial book by _ 0.14285716415076063)	0.14285716415076063
coupled_cpl	extractionPatterns(scientist, _ defined inertia 0.14285716415076063)	0.14285716415076063
coupled_cpl	extractionPatterns(scientist, _ defined insanity 0.30555545339543744)	0.30555545339543744
coupled_cpl	extractionPatterns(scientist, _ described gravity 0.17647059800966608)	0.17647059800966608
coupled_cpl	extractionPatterns(scientist, _ discovered gravity 0.15909098622821494)	0.15909098622821494
coupled_cpl	extractionPatterns(scientist, _ discovered the moons 0.2727272683991621)	0.2727272683991621
coupled_cpl	extractionPatterns(scientist, evolutionary theories of _ 0.18666662633193404)	0.18666662633193404
coupled_cpl	extractionPatterns(scientist, evolutionists like _ 0.23333338760826947)	0.23333338760826947
coupled_cpl	extractionPatterns(scientist, evolutionists such as _ 0.357143006136159)	0.357143006136159
coupled_cpl	extractionPatterns(scientist, evolution proposed by _ 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(scientist, _ explained the photoelectric effect 0.47222203068887764)	0.47222203068887764
coupled_cpl	extractionPatterns(scientist, famous bearer was _ 0.17647059800966608)	0.17647059800966608
coupled_cpl	extractionPatterns(scientist, first postulated by _ 0.22727262293734563)	0.22727262293734563
coupled_cpl	extractionPatterns(scientist, force , named after _ 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(scientist, gravitation by _ 0.14999999773288222)	0.14999999773288222
coupled_cpl	extractionPatterns(scientist, great thinkers such as _ 0.18750008129470605)	0.18750008129470605
coupled_cpl	extractionPatterns(scientist, _ invented the telescope 0.34374987281298963)	0.34374987281298963
coupled_cpl	extractionPatterns(scientist, _ is a great physicist 0.14285716415076063)	0.14285716415076063
coupled_cpl	extractionPatterns(scientist, mechanistic universe of _ 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(scientist, modern philosophers such as _ 0.2777777348505767)	0.2777777348505767
coupled_cpl	extractionPatterns(scientist, naturalists such as _ 0.1851851765870796)	0.1851851765870796
coupled_cpl	extractionPatterns(scientist, natural philosophy of _ 0.19230762030527918)	0.19230762030527918
coupled_cpl	extractionPatterns(scientist, obvious conclusion of _ 0.14999999773288222)	0.14999999773288222
coupled_cpl	extractionPatterns(scientist, phenomenon predicted by _ 0.2727272683991621)	0.2727272683991621
coupled_cpl	extractionPatterns(scientist, physicist like _ 0.23809512506891317)	0.23809512506891317
coupled_cpl	extractionPatterns(scientist, physicists including _ 0.09523811972985817)	0.09523811972985817
coupled_cpl	extractionPatterns(scientist, physicists , including _ 0.18309850358505103)	0.18309850358505103
coupled_cpl	extractionPatterns(scientist, physicists like _ 0.07258064430983352)	0.07258064430983352
coupled_cpl	extractionPatterns(scientist, physicists , such as _ 0.07142859497252234)	0.07142859497252234
coupled_cpl	extractionPatterns(scientist, physicists such as _ 0.07142859497252234)	0.07142859497252234
coupled_cpl	extractionPatterns(scientist, physicist such as _ 0.17647059800966608)	0.17647059800966608
coupled_cpl	extractionPatterns(scientist, physics under _ 0.12790697974426174)	0.12790697974426174
coupled_cpl	extractionPatterns(scientist, _ published On 0.24107142984688093)	0.24107142984688093
coupled_cpl	extractionPatterns(scientist, _ publishes theory 0.17647059800966608)	0.17647059800966608
coupled_cpl	extractionPatterns(scientist, quantum theory by _ 0.17647059800966608)	0.17647059800966608
coupled_cpl	extractionPatterns(scientist, _ recanted on 0.18181819858880538)	0.18181819858880538
coupled_cpl	extractionPatterns(scientist, relativity theory of _ 0.2727272683991621)	0.2727272683991621
coupled_cpl	extractionPatterns(scientist, scientific biography of _ 0.17647059800966608)	0.17647059800966608
coupled_cpl	extractionPatterns(scientist, scientist since _ 0.22033900209787158)	0.22033900209787158
coupled_cpl	extractionPatterns(scientist, Scientists such as _ 0.15384618106178571)	0.15384618106178571
coupled_cpl	extractionPatterns(scientist, special relativity by _ 0.19444440349460365)	0.19444440349460365
coupled_cpl	extractionPatterns(scientist, theory formulated by _ 0.17647059800966608)	0.17647059800966608
coupled_cpl	extractionPatterns(scientist, theory founded by _ 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(scientist, Thinkers include _ 0.17647059800966608)	0.17647059800966608
coupled_cpl	extractionPatterns(scientist, thought experiment by _ 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(scientist, _ undermined the very foundations 0.17391301822769906)	0.17391301822769906
coupled_cpl	extractionPatterns(scientist, unit is named after _ 0.14285716415076063)	0.14285716415076063
coupled_cpl	extractionPatterns(scientist, _ was a brilliant mathematician 0.1282050940635361)	0.1282050940635361
coupled_cpl	extractionPatterns(shape, apples into thin _ 0.8571425827091225)	0.8571425827091225
coupled_cpl	extractionPatterns(shape, beef into thin _ 0.9166670122405591)	0.9166670122405591
coupled_cpl	extractionPatterns(shape, bread cut into small _ 0.6249997682786277)	0.6249997682786277
coupled_cpl	extractionPatterns(shape, bread into D-inch _ 0.7058821371305383)	0.7058821371305383
coupled_cpl	extractionPatterns(shape, breast into thin _ 0.8888889205834525)	0.8888889205834525
coupled_cpl	extractionPatterns(shape, cake into D-inch _ 0.6999999607571137)	0.6999999607571137
coupled_cpl	extractionPatterns(shape, carrots into thin _ 0.727272531722597)	0.727272531722597
coupled_cpl	extractionPatterns(shape, cheese cut into _ 0.7500000543388377)	0.7500000543388377
coupled_cpl	extractionPatterns(shape, cheese into D-inch _ 0.6249997682786277)	0.6249997682786277
coupled_cpl	extractionPatterns(shape, cheese into small _ 0.31914906402380705)	0.31914906402380705
coupled_cpl	extractionPatterns(shape, cheese into thin _ 0.8999995640921492)	0.8999995640921492
coupled_cpl	extractionPatterns(shape, chicken into thin _ 0.8437500310461172)	0.8437500310461172
coupled_cpl	extractionPatterns(shape, cold , cut in _ 0.6666667387387801)	0.6666667387387801
coupled_cpl	extractionPatterns(shape, cool , cut into _ 0.40476201575862447)	0.40476201575862447
coupled_cpl	extractionPatterns(shape, crosswise into thin _ 0.6923075400867749)	0.6923075400867749
coupled_cpl	extractionPatterns(shape, cut in thin _ 0.6666667387387801)	0.6666667387387801
coupled_cpl	extractionPatterns(shape, flesh into thin _ 0.8888889205834525)	0.8888889205834525
coupled_cpl	extractionPatterns(shape, fruit into thin _ 0.6249997682786277)	0.6249997682786277
coupled_cpl	extractionPatterns(shape, geometric figures such as _ 0.5238096101988442)	0.5238096101988442
coupled_cpl	extractionPatterns(shape, geometric objects such as _ 0.41860480093847235)	0.41860480093847235
coupled_cpl	extractionPatterns(shape, grain into thin _ 0.8431368476927027)	0.8431368476927027
coupled_cpl	extractionPatterns(shape, half into thin _ 0.6249997682786277)	0.6249997682786277
coupled_cpl	extractionPatterns(shape, ham into thin _ 0.8750003435465248)	0.8750003435465248
coupled_cpl	extractionPatterns(shape, history of magic _ 0.38888873677147195)	0.38888873677147195
coupled_cpl	extractionPatterns(shape, hot , cut into _ 0.6249997682786277)	0.6249997682786277
coupled_cpl	extractionPatterns(shape, lemon into thin _ 0.9090910725494009)	0.9090910725494009
coupled_cpl	extractionPatterns(shape, lengthwise into thin _ 0.9166670122405591)	0.9166670122405591
coupled_cpl	extractionPatterns(shape, meat , cut into _ 0.6666667387387801)	0.6666667387387801
coupled_cpl	extractionPatterns(shape, meat in thin _ 0.8181815690145253)	0.8181815690145253
coupled_cpl	extractionPatterns(shape, meat into D-inch _ 0.6153845020195187)	0.6153845020195187
coupled_cpl	extractionPatterns(shape, meat into thin _ 0.8684207037520932)	0.8684207037520932
coupled_cpl	extractionPatterns(shape, meat was cut into _ 0.7999996410514483)	0.7999996410514483
coupled_cpl	extractionPatterns(shape, mushrooms into thin _ 0.8750003435465248)	0.8750003435465248
coupled_cpl	extractionPatterns(shape, onion into thin _ 0.6153845020195187)	0.6153845020195187
coupled_cpl	extractionPatterns(shape, onions into thin _ 0.6666667387387801)	0.6666667387387801
coupled_cpl	extractionPatterns(shape, pan , cut into _ 0.6153845020195187)	0.6153845020195187
coupled_cpl	extractionPatterns(shape, pattern of concentric _ 0.5087721525894209)	0.5087721525894209
coupled_cpl	extractionPatterns(shape, peppers into thin _ 0.9230766532371499)	0.9230766532371499
coupled_cpl	extractionPatterns(shape, polygons such as _ 0.31578931892794915)	0.31578931892794915
coupled_cpl	extractionPatterns(shape, pork into thin _ 0.7857143303561276)	0.7857143303561276
coupled_cpl	extractionPatterns(shape, potatoes into D-inch _ 0.8666665311552608)	0.8666665311552608
coupled_cpl	extractionPatterns(shape, potatoes into thick _ 0.6428569836079735)	0.6428569836079735
coupled_cpl	extractionPatterns(shape, potatoes into thin _ 0.8571425827091225)	0.8571425827091225
coupled_cpl	extractionPatterns(shape, room temperature , cut into _ 0.8461539177919128)	0.8461539177919128
coupled_cpl	extractionPatterns(shape, series of concentric _ 0.4810813001395659)	0.4810813001395659
coupled_cpl	extractionPatterns(shape, set of concentric _ 0.5188678772488493)	0.5188678772488493
coupled_cpl	extractionPatterns(shape, steak into thin _ 0.9166670122405591)	0.9166670122405591
coupled_cpl	extractionPatterns(shape, tomatoes into thin _ 0.6666667387387801)	0.6666667387387801
coupled_cpl	extractionPatterns(shape, vegetables into thin _ 0.8750003435465248)	0.8750003435465248
coupled_cpl	extractionPatterns(shape, warm , cut into _ 0.47368440086698504)	0.47368440086698504
coupled_cpl	extractionPatterns(sport, adventure activities such as _ 0.610169189765938)	0.610169189765938
coupled_cpl	extractionPatterns(sport, _ are all popular activities 0.6060607805530489)	0.6060607805530489
coupled_cpl	extractionPatterns(sport, _ are popular activities 0.5527778920511424)	0.5527778920511424
coupled_cpl	extractionPatterns(sport, _ are popular pastimes 0.5922330831789929)	0.5922330831789929
coupled_cpl	extractionPatterns(sport, athlete , playing _ 0.707317240605317)	0.707317240605317
coupled_cpl	extractionPatterns(sport, body for amateur _ 0.7317070866162454)	0.7317070866162454
coupled_cpl	extractionPatterns(sport, cycling , playing _ 0.5625000815082595)	0.5625000815082595
coupled_cpl	extractionPatterns(sport, favorite sport is _ 0.5396826485771955)	0.5396826485771955
coupled_cpl	extractionPatterns(sport, favorite sports are _ 0.723076683149612)	0.723076683149612
coupled_cpl	extractionPatterns(sport, game of indoor _ 0.5517241973774889)	0.5517241973774889
coupled_cpl	extractionPatterns(sport, game of professional _ 0.6388887116144715)	0.6388887116144715
coupled_cpl	extractionPatterns(sport, great lakes for _ 0.7804879328035861)	0.7804879328035861
coupled_cpl	extractionPatterns(sport, great sport of _ 0.5299540363842489)	0.5299540363842489
coupled_cpl	extractionPatterns(sport, letterman in _ 0.585526404270784)	0.585526404270784
coupled_cpl	extractionPatterns(sport, letterwinner in _ 0.5433068594365191)	0.5433068594365191
coupled_cpl	extractionPatterns(sport, letter winner in _ 0.565656655821913)	0.565656655821913
coupled_cpl	extractionPatterns(sport, lounge , outdoor _ 0.7368418470377582)	0.7368418470377582
coupled_cpl	extractionPatterns(sport, many sports including _ 0.5714284502488258)	0.5714284502488258
coupled_cpl	extractionPatterns(sport, outdoor activities , including _ 0.5512196006251078)	0.5512196006251078
coupled_cpl	extractionPatterns(sport, outdoor activities including _ 0.611494083065904)	0.611494083065904
coupled_cpl	extractionPatterns(sport, outdoor activities like _ 0.5942405947262648)	0.5942405947262648
coupled_cpl	extractionPatterns(sport, outdoor activities such as _ 0.5269924799959419)	0.5269924799959419
coupled_cpl	extractionPatterns(sport, outdoor activities , such as _ 0.5448275262505597)	0.5448275262505597
coupled_cpl	extractionPatterns(sport, outdoor pursuits including _ 0.6944445233249414)	0.6944445233249414
coupled_cpl	extractionPatterns(sport, outdoor pursuits such as _ 0.626865672336106)	0.626865672336106
coupled_cpl	extractionPatterns(sport, outdoor recreation , including _ 0.6575345294732664)	0.6575345294732664
coupled_cpl	extractionPatterns(sport, outdoor recreation such as _ 0.6794871204652064)	0.6794871204652064
coupled_cpl	extractionPatterns(sport, pickup game of _ 0.6428569836079735)	0.6428569836079735
coupled_cpl	extractionPatterns(sport, recreational activities including _ 0.5335465276249822)	0.5335465276249822
coupled_cpl	extractionPatterns(sport, recreational activities such as _ 0.5779626683646734)	0.5779626683646734
coupled_cpl	extractionPatterns(sport, recreational opportunities , including _ 0.5913045980585377)	0.5913045980585377
coupled_cpl	extractionPatterns(sport, recreational opportunities including _ 0.6134969416065467)	0.6134969416065467
coupled_cpl	extractionPatterns(sport, recreational opportunities , such as _ 0.5952379722709458)	0.5952379722709458
coupled_cpl	extractionPatterns(sport, recreational opportunities such as _ 0.7218044656268894)	0.7218044656268894
coupled_cpl	extractionPatterns(sport, recreational uses such as _ 0.6097562450220343)	0.6097562450220343
coupled_cpl	extractionPatterns(sport, recreation including _ 0.5657143557434529)	0.5657143557434529
coupled_cpl	extractionPatterns(sport, recreation opportunities , including _ 0.6206896999181246)	0.6206896999181246
coupled_cpl	extractionPatterns(sport, recreation , such as _ 0.5757573352637095)	0.5757573352637095
coupled_cpl	extractionPatterns(sport, retirement from professional _ 0.5731705285493914)	0.5731705285493914
coupled_cpl	extractionPatterns(sportsEquipment, _ beats the runner 0.22727262293734563)	0.22727262293734563
coupled_cpl	extractionPatterns(sportsEquipment, _ bouncing over 0.025000011352850984)	0.025000011352850984
coupled_cpl	extractionPatterns(sportsEquipment, boys kicking _ 0.0312499969624916)	0.0312499969624916
coupled_cpl	extractionPatterns(sportsEquipment, _ crosses the goal line 0.47540985231833277)	0.47540985231833277
coupled_cpl	extractionPatterns(sportsEquipment, _ gets a blackjack 0.43999980291076946)	0.43999980291076946
coupled_cpl	extractionPatterns(sportsEquipment, _ gets an ace 0.32000009062028956)	0.32000009062028956
coupled_cpl	extractionPatterns(sportsEquipment, _ goes out-of-bounds 0.16000007419974682)	0.16000007419974682
coupled_cpl	extractionPatterns(sportsEquipment, _ handling skills 0.2977777131044578)	0.2977777131044578
coupled_cpl	extractionPatterns(sportsEquipment, _ has a blackjack 0.17543862716500347)	0.17543862716500347
coupled_cpl	extractionPatterns(sportsEquipment, _ has blackjack 0.3982302194902068)	0.3982302194902068
coupled_cpl	extractionPatterns(sportsEquipment, _ hit off 0.1451612624093551)	0.1451612624093551
coupled_cpl	extractionPatterns(sportsEquipment, _ hit over 0.025073744905650557)	0.025073744905650557
coupled_cpl	extractionPatterns(sportsEquipment, _ hits the rim 0.4893618909140982)	0.4893618909140982
coupled_cpl	extractionPatterns(sportsEquipment, _ hit the stumps 0.13924044780197634)	0.13924044780197634
coupled_cpl	extractionPatterns(sportsEquipment, _ hitting the ball 0.013605447703658149)	0.013605447703658149
coupled_cpl	extractionPatterns(sportsEquipment, _ is thrown like 0.16000007419974682)	0.16000007419974682
coupled_cpl	extractionPatterns(sportsEquipment, kids kicking _ 0.025000011352850984)	0.025000011352850984
coupled_cpl	extractionPatterns(sportsEquipment, _ lofted into 0.1515150983382487)	0.1515150983382487
coupled_cpl	extractionPatterns(sportsEquipment, mind is playing _ 0.7115383234553309)	0.7115383234553309
coupled_cpl	extractionPatterns(sportsEquipment, mind plays _ 0.28968243724010284)	0.28968243724010284
coupled_cpl	extractionPatterns(sportsEquipment, minds play _ 0.5333331516919638)	0.5333331516919638
coupled_cpl	extractionPatterns(sportsEquipment, _ missed the stumps 0.18181819858880538)	0.18181819858880538
coupled_cpl	extractionPatterns(sportsEquipment, ping pong _ 0.6884614181011041)	0.6884614181011041
coupled_cpl	extractionPatterns(sportsEquipment, players take _ 0.25119116906551847)	0.25119116906551847
coupled_cpl	extractionPatterns(sportsEquipment, _ plays a card 0.37500009487940933)	0.37500009487940933
coupled_cpl	extractionPatterns(sportsEquipment, _ possesses the ball 0.16000007419974682)	0.16000007419974682
coupled_cpl	extractionPatterns(sportsEquipment, _ raising efforts 0.7664544564368581)	0.7664544564368581
coupled_cpl	extractionPatterns(sportsEquipment, _ raising event 0.8136052349208408)	0.8136052349208408
coupled_cpl	extractionPatterns(sportsEquipment, _ raising for 0.23055565323125762)	0.23055565323125762
coupled_cpl	extractionPatterns(sportsEquipment, _ raising initiatives 0.6562503052063952)	0.6562503052063952
coupled_cpl	extractionPatterns(sportsEquipment, _ raising projects 0.7615061732366522)	0.7615061732366522
coupled_cpl	extractionPatterns(sportsEquipment, _ rolling after 0.2586206403735071)	0.2586206403735071
coupled_cpl	extractionPatterns(sportsEquipment, _ rolling by 0.5178570707448547)	0.5178570707448547
coupled_cpl	extractionPatterns(sportsEquipment, _ rolling for 0.46911750415871767)	0.46911750415871767
coupled_cpl	extractionPatterns(sportsEquipment, _ rolling if 0.31914906402380705)	0.31914906402380705
coupled_cpl	extractionPatterns(sportsEquipment, _ rolling on 0.20344837332903443)	0.20344837332903443
coupled_cpl	extractionPatterns(sportsEquipment, _ rolling the die 0.19672135364957388)	0.19672135364957388
coupled_cpl	extractionPatterns(sportsEquipment, _ rolling towards 0.20359287296539874)	0.20359287296539874
coupled_cpl	extractionPatterns(sportsEquipment, _ rolling with 0.2752490375568481)	0.2752490375568481
coupled_cpl	extractionPatterns(sportsEquipment, scientists have played _ 0.4250000467745336)	0.4250000467745336
coupled_cpl	extractionPatterns(sportsEquipment, sensitization plays _ 0.8125002963823778)	0.8125002963823778
coupled_cpl	extractionPatterns(sportsEquipment, _ shuffles the cards 0.38666677630595225)	0.38666677630595225
coupled_cpl	extractionPatterns(sportsEquipment, straight flying _ 0.23809512506891317)	0.23809512506891317
coupled_cpl	extractionPatterns(sportsEquipment, tennis court with _ 0.0312499969624916)	0.0312499969624916
coupled_cpl	extractionPatterns(sportsEquipment, _ was misplayed by 0.22727262293734563)	0.22727262293734563
coupled_cpl	extractionPatterns(sportsEquipment, water touring _ 0.22727262293734563)	0.22727262293734563
coupled_cpl	extractionPatterns(sportsLeague, active streak in _ 0.18750008129470605)	0.18750008129470605
coupled_cpl	extractionPatterns(sportsLeague, average pitcher in _ 0.23076924664463755)	0.23076924664463755
coupled_cpl	extractionPatterns(sportsLeague, _ awarded an expansion franchise 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(sportsLeague, bad teams in _ 0.20833331623205179)	0.20833331623205179
coupled_cpl	extractionPatterns(sportsLeague, _ batting champion 0.2666666239952886)	0.2666666239952886
coupled_cpl	extractionPatterns(sportsLeague, batting title for _ 0.42857136873737717)	0.42857136873737717
coupled_cpl	extractionPatterns(sportsLeague, _ betting stats 0.14754102592679014)	0.14754102592679014
coupled_cpl	extractionPatterns(sportsLeague, charter franchises of _ 0.42857136873737717)	0.42857136873737717
coupled_cpl	extractionPatterns(sportsLeague, cover athlete for _ 0.20833331623205179)	0.20833331623205179
coupled_cpl	extractionPatterns(sportsLeague, cover corner in _ 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(sportsLeague, DD-time winner on _ 0.2105262353782364)	0.2105262353782364
coupled_cpl	extractionPatterns(sportsLeague, defensive first baseman in _ 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(sportsLeague, defensive third basemen in _ 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(sportsLeague, developmental league for _ 0.16393438871791666)	0.16393438871791666
coupled_cpl	extractionPatterns(sportsLeague, elite team in _ 0.17021277617535738)	0.17021277617535738
coupled_cpl	extractionPatterns(sportsLeague, favorite player in _ 0.18309850358505103)	0.18309850358505103
coupled_cpl	extractionPatterns(sportsLeague, favorite team is in _ 0.3636363315194487)	0.3636363315194487
coupled_cpl	extractionPatterns(sportsLeague, fifth-best defense in _ 0.5714284502488258)	0.5714284502488258
coupled_cpl	extractionPatterns(sportsLeague, first African-American player in _ 0.30769230656666036)	0.30769230656666036
coupled_cpl	extractionPatterns(sportsLeague, first black player in _ 0.36000008911152426)	0.36000008911152426
coupled_cpl	extractionPatterns(sportsLeague, franchise joined _ 0.5000000902799808)	0.5000000902799808
coupled_cpl	extractionPatterns(sportsLeague, game second in _ 0.294117774006532)	0.294117774006532
coupled_cpl	extractionPatterns(sportsLeague, game third in _ 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(sportsLeague, goals against average in _ 0.18181819858880538)	0.18181819858880538
coupled_cpl	extractionPatterns(sportsLeague, golf , behind _ 0.42857136873737717)	0.42857136873737717
coupled_cpl	extractionPatterns(sportsLeague, great pitching in _ 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(sportsLeague, _ has home field advantage 0.18750008129470605)	0.18750008129470605
coupled_cpl	extractionPatterns(sportsLeague, hated player in _ 0.21621629642474752)	0.21621629642474752
coupled_cpl	extractionPatterns(sportsLeague, highest-scoring team in _ 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(sportsLeague, _ is a better league 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(sportsLeague, _ is the only league 0.21621629642474752)	0.21621629642474752
coupled_cpl	extractionPatterns(sportsLeague, Jewish players in _ 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(sportsLeague, league became _ 0.21874994613159704)	0.21874994613159704
coupled_cpl	extractionPatterns(sportsLeague, minor league for _ 0.24324332480466354)	0.24324332480466354
coupled_cpl	extractionPatterns(sportsLeague, offensive guard in _ 0.20833331623205179)	0.20833331623205179
coupled_cpl	extractionPatterns(sportsLeague, offensive linemen in _ 0.16393438871791666)	0.16393438871791666
coupled_cpl	extractionPatterns(sportsLeague, pitcher-friendly park in _ 0.42857136873737717)	0.42857136873737717
coupled_cpl	extractionPatterns(sportsLeague, radio partner of _ 0.42857136873737717)	0.42857136873737717
coupled_cpl	extractionPatterns(sportsLeague, _ rebounding champion 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(sportsLeague, road wins in _ 0.22727262293734563)	0.22727262293734563
coupled_cpl	extractionPatterns(sportsLeague, _ rushing champion 0.6521739227132215)	0.6521739227132215
coupled_cpl	extractionPatterns(sportsLeague, _ rushing title 0.3770490476986416)	0.3770490476986416
coupled_cpl	extractionPatterns(sportsLeague, scoring teams in _ 0.13953483439054465)	0.13953483439054465
coupled_cpl	extractionPatterns(sportsLeague, shooting team in _ 0.18032779516598796)	0.18032779516598796
coupled_cpl	extractionPatterns(sportsLeague, solid teams in _ 0.42857136873737717)	0.42857136873737717
coupled_cpl	extractionPatterns(sportsLeague, team batting average in _ 0.37500009487940933)	0.37500009487940933
coupled_cpl	extractionPatterns(sportsLeague, third-best record in _ 0.29999994129778657)	0.29999994129778657
coupled_cpl	extractionPatterns(sportsLeague, third-best team in _ 0.3999998927496764)	0.3999998927496764
coupled_cpl	extractionPatterns(sportsLeague, up-and-coming team in _ 0.37500009487940933)	0.37500009487940933
coupled_cpl	extractionPatterns(sportsLeague, wild card spot in _ 0.294117774006532)	0.294117774006532
coupled_cpl	extractionPatterns(sport, sporting activities including _ 0.6206896999181246)	0.6206896999181246
coupled_cpl	extractionPatterns(sport, sport of professional _ 0.5842694590993283)	0.5842694590993283
coupled_cpl	extractionPatterns(sport, sports activities such as _ 0.4946237037263615)	0.4946237037263615
coupled_cpl	extractionPatterns(sport, sports except _ 0.5576922455625736)	0.5576922455625736
coupled_cpl	extractionPatterns(sport, sports other than _ 0.5221240895008389)	0.5221240895008389
coupled_cpl	extractionPatterns(sport, sports ranging from _ 0.5000000902799808)	0.5000000902799808
coupled_cpl	extractionPatterns(sport, sport such as _ 0.5855515824474945)	0.5855515824474945
coupled_cpl	extractionPatterns(sportsTeam, agent contract with _ 0.3771931079486184)	0.3771931079486184
coupled_cpl	extractionPatterns(sportsTeam, _ are a better team 0.17154820039464497)	0.17154820039464497
coupled_cpl	extractionPatterns(sportsTeam, _ are D-D ATS 0.5013403837039931)	0.5013403837039931
coupled_cpl	extractionPatterns(sportsTeam, _ are D-D-D ATS 0.3421051955116655)	0.3421051955116655
coupled_cpl	extractionPatterns(sportsTeam, _ are the better team 0.17032975252936666)	0.17032975252936666
coupled_cpl	extractionPatterns(sportsTeam, _ are the only team 0.19756097660268074)	0.19756097660268074
coupled_cpl	extractionPatterns(sportsTeam, base coach for _ 0.4318180327337665)	0.4318180327337665
coupled_cpl	extractionPatterns(sportsTeam, baseman for _ 0.1749048792459386)	0.1749048792459386
coupled_cpl	extractionPatterns(sportsTeam, _ beat writer 0.2850878216615194)	0.2850878216615194
coupled_cpl	extractionPatterns(sportsTeam, bench coach for _ 0.5000000902799808)	0.5000000902799808
coupled_cpl	extractionPatterns(sportsTeam, contact with wild _ 0.4100418710442354)	0.4100418710442354
coupled_cpl	extractionPatterns(sportsTeam, defensive end for _ 0.34453796203949427)	0.34453796203949427
coupled_cpl	extractionPatterns(sportsTeam, defensive tackle for _ 0.42553205453451975)	0.42553205453451975
coupled_cpl	extractionPatterns(sportsTeam, draft choice of _ 0.45689667853773197)	0.45689667853773197
coupled_cpl	extractionPatterns(sportsTeam, draft pick by _ 0.452380789124354)	0.452380789124354
coupled_cpl	extractionPatterns(sportsTeam, draft pick of _ 0.5779222123938633)	0.5779222123938633
coupled_cpl	extractionPatterns(sportsTeam, _ enter this game 0.801470591045978)	0.801470591045978
coupled_cpl	extractionPatterns(sportsTeam, farm team for _ 0.39080443904953055)	0.39080443904953055
coupled_cpl	extractionPatterns(sportsTeam, farm team of _ 0.40517224742784785)	0.40517224742784785
coupled_cpl	extractionPatterns(sportsTeam, favorite team is _ 0.14222229324868527)	0.14222229324868527
coupled_cpl	extractionPatterns(sportsTeam, first-round pick of _ 0.40277789419248705)	0.40277789419248705
coupled_cpl	extractionPatterns(sportsTeam, free agent by _ 0.4913792726421861)	0.4913792726421861
coupled_cpl	extractionPatterns(sportsTeam, free agent with _ 0.18974352255910074)	0.18974352255910074
coupled_cpl	extractionPatterns(sportsTeam, _ have a D-D lead 0.4250000467745336)	0.4250000467745336
coupled_cpl	extractionPatterns(sportsTeam, head coaching job with _ 0.5666666879766993)	0.5666666879766993
coupled_cpl	extractionPatterns(sportsTeam, _ Includes headlines 0.5000000902799808)	0.5000000902799808
coupled_cpl	extractionPatterns(sportsTeam, _ lead the all-time series 0.3313251697098091)	0.3313251697098091
coupled_cpl	extractionPatterns(sportsTeam, league affiliate of _ 0.48809510735357986)	0.48809510735357986
coupled_cpl	extractionPatterns(sportsTeam, league contract with _ 0.43103456279234303)	0.43103456279234303
coupled_cpl	extractionPatterns(sportsTeam, league debut with _ 0.6315791553969439)	0.6315791553969439
coupled_cpl	extractionPatterns(sportsTeam, major league career with _ 0.511111251074395)	0.511111251074395
coupled_cpl	extractionPatterns(sportsTeam, major leagues with _ 0.4035087928741095)	0.4035087928741095
coupled_cpl	extractionPatterns(sportsTeam, offensive coordinator of _ 0.416666557230806)	0.416666557230806
coupled_cpl	extractionPatterns(sportsTeam, offensive coordinator with _ 0.4333333438202682)	0.4333333438202682
coupled_cpl	extractionPatterns(sportsTeam, one-year deal with _ 0.34615383254489884)	0.34615383254489884
coupled_cpl	extractionPatterns(sportsTeam, _ opening day tickets 0.4583331305436001)	0.4583331305436001
coupled_cpl	extractionPatterns(sportsTeam, outfielder for _ 0.3072289634773718)	0.3072289634773718
coupled_cpl	extractionPatterns(sportsTeam, playoff game against _ 0.19138752111978857)	0.19138752111978857
coupled_cpl	extractionPatterns(sportsTeam, preseason game against _ 0.3647059013195332)	0.3647059013195332
coupled_cpl	extractionPatterns(sportsTeam, relief pitcher for _ 0.5853659920134966)	0.5853659920134966
coupled_cpl	extractionPatterns(sportsTeam, _ run defense 0.3072289634773718)	0.3072289634773718
coupled_cpl	extractionPatterns(sportsTeam, _ sent a player 0.6052631238772754)	0.6052631238772754
coupled_cpl	extractionPatterns(sportsTeam, species of migratory _ 0.6444442251940712)	0.6444442251940712
coupled_cpl	extractionPatterns(sportsTeam, spring training home of _ 0.5000000902799808)	0.5000000902799808
coupled_cpl	extractionPatterns(sportsTeam, starts against _ 0.38775522571307147)	0.38775522571307147
coupled_cpl	extractionPatterns(sportsTeam, team affiliated with _ 0.4305555187563652)	0.4305555187563652
coupled_cpl	extractionPatterns(sportsTeam, Under is D-D in _ 0.26359828037246685)	0.26359828037246685
coupled_cpl	extractionPatterns(sportsTeam, _ were the first team 0.15981729859109578)	0.15981729859109578
coupled_cpl	extractionPatterns(sportsTeam, wide receiver for _ 0.37254889054119533)	0.37254889054119533
coupled_cpl	extractionPatterns(sportsTeam, _ won the pennant 0.2951808676027458)	0.2951808676027458
coupled_cpl	extractionPatterns(sport, tennis courts , outdoor _ 0.6176471124925761)	0.6176471124925761
coupled_cpl	extractionPatterns(sportUsesEquipment, arg1 and baseball arg2 8.47697252057676E-4)	8.47697252057676E-4
coupled_cpl	extractionPatterns(sportUsesEquipment, arg1 and basketball arg2 0.0019309677053296079)	0.0019309677053296079
coupled_cpl	extractionPatterns(sportUsesEquipment, arg1 and cricket arg2 0.004273504766485934)	0.004273504766485934
coupled_cpl	extractionPatterns(sportUsesEquipment, arg1 and softball arg2 0.0032573281680365754)	0.0032573281680365754
coupled_cpl	extractionPatterns(sportUsesEquipment, arg1 ball and arg2 0.00227445003195424)	0.00227445003195424
coupled_cpl	extractionPatterns(sportUsesEquipment, arg1 club arg2 2.2330075902437564E-4)	2.2330075902437564E-4
coupled_cpl	extractionPatterns(sportUsesEquipment, arg1 clubs and arg2 3.3641703231791623E-4)	3.3641703231791623E-4
coupled_cpl	extractionPatterns(sportUsesEquipment, arg1 equipment arg2 5.146153101493001E-5)	5.146153101493001E-5
coupled_cpl	extractionPatterns(sportUsesEquipment, arg1 nba arg2 0.0026972352825840634)	0.0026972352825840634
coupled_cpl	extractionPatterns(sportUsesEquipment, arg1 off a arg2 1.7752537526980467E-4)	1.7752537526980467E-4
coupled_cpl	extractionPatterns(sportUsesEquipment, arg1 or baseball arg2 0.007692311157351414)	0.007692311157351414
coupled_cpl	extractionPatterns(sportUsesEquipment, arg1 or football arg2 0.020086084843663927)	0.020086084843663927
coupled_cpl	extractionPatterns(sportUsesEquipment, arg1 or hockey arg2 0.005494503775147497)	0.005494503775147497
coupled_cpl	extractionPatterns(sportUsesEquipment, arg1 team arg2 1.3363304294626704E-4)	1.3363304294626704E-4
coupled_cpl	extractionPatterns(sportUsesEquipment, arg1 with a real arg2 3.3687049139657455E-4)	3.3687049139657455E-4
coupled_cpl	extractionPatterns(sportUsesEquipment, arg1 without a arg2 1.3747300326854095E-4)	1.3747300326854095E-4
coupled_cpl	extractionPatterns(sportUsesEquipment, arg1 youth arg2 9.423734605623873E-5)	9.423734605623873E-5
coupled_cpl	extractionPatterns(sportUsesEquipment, arg2 and the game of arg1 0.0016856298277553791)	0.0016856298277553791
coupled_cpl	extractionPatterns(sportUsesEquipment, arg2 ever to play arg1 0.015384619536856511)	0.015384619536856511
coupled_cpl	extractionPatterns(sportUsesEquipment, arg2 in a game of arg1 0.0013976234786814623)	0.0013976234786814623
coupled_cpl	extractionPatterns(sportUsesEquipment, arg2 in all of arg1 5.62016134167257E-4)	5.62016134167257E-4
coupled_cpl	extractionPatterns(sportUsesEquipment, arg2 in college arg1 0.01047177224039902)	0.01047177224039902
coupled_cpl	extractionPatterns(sportUsesEquipment, arg2 in professional arg1 2.969122254638623E-4)	2.969122254638623E-4
coupled_cpl	extractionPatterns(sportUsesEquipment, arg2 in the history of arg1 5.78439845682457E-4)	5.78439845682457E-4
coupled_cpl	extractionPatterns(sportUsesEquipment, arg2 when playing arg1 0.0012642224624116996)	0.0012642224624116996
coupled_cpl	extractionPatterns(sport, various sports including _ 0.707317240605317)	0.707317240605317
coupled_cpl	extractionPatterns(sport, water sports including _ 0.544973559595189)	0.544973559595189
coupled_cpl	extractionPatterns(sport, winter activities such as _ 0.6779660947740903)	0.6779660947740903
coupled_cpl	extractionPatterns(stadium, ball game at _ 0.2537314131446477)	0.2537314131446477
coupled_cpl	extractionPatterns(stadium, ballpark like _ 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(stadium, ballpark than _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(stadium, baseball fans at _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(stadium, baseball games at _ 0.23232314734067336)	0.23232314734067336
coupled_cpl	extractionPatterns(stadium, blowout win at _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(stadium, center field at _ 0.18181819858880538)	0.18181819858880538
coupled_cpl	extractionPatterns(stadium, centerfield at _ 0.23529411363207658)	0.23529411363207658
coupled_cpl	extractionPatterns(stadium, centerfield of _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(stadium, charity game at _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(stadium, college football championship games at _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(stadium, current lease at _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(stadium, DD-D-D record at _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(stadium, DD-yard line at _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(stadium, divisional playoff game at _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(stadium, dog vendor at _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(stadium, field line of _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(stadium, field seats at _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(stadium, field stands at _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(stadium, field wall at _ 0.31578931892794915)	0.31578931892794915
coupled_cpl	extractionPatterns(stadium, final home opener at _ 0.7586209753731393)	0.7586209753731393
coupled_cpl	extractionPatterns(stadium, final opener at _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(stadium, foul pole at _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(stadium, four-game set at _ 0.22222231039474505)	0.22222231039474505
coupled_cpl	extractionPatterns(stadium, game at historic _ 0.31578931892794915)	0.31578931892794915
coupled_cpl	extractionPatterns(stadium, games at beautiful _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(stadium, grass surface at _ 0.2105262353782364)	0.2105262353782364
coupled_cpl	extractionPatterns(stadium, _ has been the proud home 0.28205138734986673)	0.28205138734986673
coupled_cpl	extractionPatterns(stadium, head groundskeeper at _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(stadium, hockey games at _ 0.24590155649290768)	0.24590155649290768
coupled_cpl	extractionPatterns(stadium, home debut at _ 0.2777777348505767)	0.2777777348505767
coupled_cpl	extractionPatterns(stadium, home games held at _ 0.30555545339543744)	0.30555545339543744
coupled_cpl	extractionPatterns(stadium, home games played at _ 0.23529411363207658)	0.23529411363207658
coupled_cpl	extractionPatterns(stadium, home game tickets are available for _ 0.2105262353782364)	0.2105262353782364
coupled_cpl	extractionPatterns(stadium, home plate at _ 0.253968255022667)	0.253968255022667
coupled_cpl	extractionPatterns(stadium, homer at _ 0.24137923332822347)	0.24137923332822347
coupled_cpl	extractionPatterns(stadium, _ is a baseball stadium 0.2727272683991621)	0.2727272683991621
coupled_cpl	extractionPatterns(stadium, _ is a neutral site 0.2105262353782364)	0.2105262353782364
coupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 and downtown arg2 9.900986235993874E-4)	9.900986235993874E-4
coupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 in downtown arg2 2.977155671228935E-4)	2.977155671228935E-4
coupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 is a baseball stadium in arg2 0.010238911129853338)	0.010238911129853338
coupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 is located in downtown arg2 0.0017241381095525353)	0.0017241381095525353
coupled_cpl	extractionPatterns(stadiumLocatedInCity, arg2 concert at arg1 8.503402452879083E-4)	8.503402452879083E-4
coupled_cpl	extractionPatterns(stadium, morning skate at _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(stadium, outdoor game at _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(stadium, rain delay at _ 0.29999994129778657)	0.29999994129778657
coupled_cpl	extractionPatterns(stadium, regular season game at _ 0.30555545339543744)	0.30555545339543744
coupled_cpl	extractionPatterns(stadium, right field at _ 0.23529411363207658)	0.23529411363207658
coupled_cpl	extractionPatterns(stadium, seating chart of _ 0.3015872253536089)	0.3015872253536089
coupled_cpl	extractionPatterns(stadium, sellout crowd at _ 0.2051282265538084)	0.2051282265538084
coupled_cpl	extractionPatterns(stadium, series tonight at _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(stadium, soccer matches at _ 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(stadium, stadium was named _ 0.29999994129778657)	0.29999994129778657
coupled_cpl	extractionPatterns(stadium, three-game sweep at _ 0.2857142767129624)	0.2857142767129624
coupled_cpl	extractionPatterns(stadium, _ was the first stadium 0.42857136873737717)	0.42857136873737717
coupled_cpl	extractionPatterns(stateHasCapital, arg1 access numbers in arg2 0.07692310442012312)	0.07692310442012312
coupled_cpl	extractionPatterns(stateHasCapital, arg1 and used car dealers in arg2 0.005300352241352094)	0.005300352241352094
coupled_cpl	extractionPatterns(stateHasCapital, arg1 approximately DD miles east of arg2 0.11538464415616194)	0.11538464415616194
coupled_cpl	extractionPatterns(stateHasCapital, arg1 approximately DD miles north of arg2 0.1084337382426917)	0.1084337382426917
coupled_cpl	extractionPatterns(stateHasCapital, arg1 area code DDD connections in arg2 0.11111106414847875)	0.11111106414847875
coupled_cpl	extractionPatterns(stateHasCapital, arg1 a suburb of arg2 0.1551724810153904)	0.1551724810153904
coupled_cpl	extractionPatterns(stateHasCapital, arg1 chocolate fountain rentals in arg2 0.11111106414847875)	0.11111106414847875
coupled_cpl	extractionPatterns(stateHasCapital, arg1 chocolate fountain rentals including arg2 0.11111106414847875)	0.11111106414847875
coupled_cpl	extractionPatterns(stateHasCapital, arg1 connection numbers in arg2 0.13725496834674325)	0.13725496834674325
coupled_cpl	extractionPatterns(stateHasCapital, arg1 Convention Center in downtown arg2 0.18840582482267443)	0.18840582482267443
coupled_cpl	extractionPatterns(stateHasCapital, arg1 Democratic Party convention in arg2 0.09803918826375141)	0.09803918826375141
coupled_cpl	extractionPatterns(stateHasCapital, arg1 desert near arg2 0.0847457230060787)	0.0847457230060787
coupled_cpl	extractionPatterns(stateHasCapital, arg1 dial up numbers in arg2 0.09803918826375141)	0.09803918826375141
coupled_cpl	extractionPatterns(stateHasCapital, arg1 Home inspection for arg2 0.11764707805838637)	0.11764707805838637
coupled_cpl	extractionPatterns(stateHasCapital, arg1 Hotels Planning your trip to arg2 0.14035083875856164)	0.14035083875856164
coupled_cpl	extractionPatterns(stateHasCapital, arg1 include the cities of arg2 0.11111106414847875)	0.11111106414847875
coupled_cpl	extractionPatterns(stateHasCapital, arg1 including cities such as arg2 0.02083333356058106)	0.02083333356058106
coupled_cpl	extractionPatterns(stateHasCapital, arg1 map include arg2 0.20833331623205179)	0.20833331623205179
coupled_cpl	extractionPatterns(stateHasCapital, arg1 Nissan dealer in arg2 0.09803918826375141)	0.09803918826375141
coupled_cpl	extractionPatterns(stateHasCapital, arg1 Oakwood found DD properties in arg2 0.12962961634375492)	0.12962961634375492
coupled_cpl	extractionPatterns(stateHasCapital, arg1 outside metro arg2 0.11999994434402382)	0.11999994434402382
coupled_cpl	extractionPatterns(stateHasCapital, arg1 Real Estate areas include arg2 0.11111106414847875)	0.11111106414847875
coupled_cpl	extractionPatterns(stateHasCapital, arg1 singles go here for arg2 0.28070162683364835)	0.28070162683364835
coupled_cpl	extractionPatterns(stateHasCapital, arg1 state capital of arg2 0.02083333356058106)	0.02083333356058106
coupled_cpl	extractionPatterns(stateHasCapital, arg1 State Capitol building in arg2 0.06249998263998874)	0.06249998263998874
coupled_cpl	extractionPatterns(stateHasCapital, arg1 state capitol in arg2 0.04166665959783167)	0.04166665959783167
coupled_cpl	extractionPatterns(stateHasCapital, arg1 State University campus in arg2 0.10256413179587653)	0.10256413179587653
coupled_cpl	extractionPatterns(stateHasCapital, arg1 survey excludes students from arg2 0.13725496834674325)	0.13725496834674325
coupled_cpl	extractionPatterns(stateHasCapital, arg1 The table below shows arg2 0.005300352241352094)	0.005300352241352094
coupled_cpl	extractionPatterns(stateHasCapital, arg1 USA covering arg2 0.08298752364620098)	0.08298752364620098
coupled_cpl	extractionPatterns(stateHasCapital, arg1 which is a suburb of arg2 0.13461532666698936)	0.13461532666698936
coupled_cpl	extractionPatterns(stateHasCapital, arg1 which is just south of arg2 0.09803918826375141)	0.09803918826375141
coupled_cpl	extractionPatterns(stateHasCapital, arg2 and across the state of arg1 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(stateHasCapital, arg2 and other cities in arg1 0.0048859917238392395)	0.0048859917238392395
coupled_cpl	extractionPatterns(stateHasCapital, arg2 and south central arg1 0.12359551759855635)	0.12359551759855635
coupled_cpl	extractionPatterns(stateHasCapital, arg2 and the entire state of arg1 0.16666674487136082)	0.16666674487136082
coupled_cpl	extractionPatterns(stateHasCapital, arg2 and the great state of arg1 0.31249994056428093)	0.31249994056428093
coupled_cpl	extractionPatterns(stateHasCapital, arg2 and throughout the state of arg1 0.1318681129752343)	0.1318681129752343
coupled_cpl	extractionPatterns(stateHasCapital, arg2 area and southern arg1 0.11999994434402382)	0.11999994434402382
coupled_cpl	extractionPatterns(stateHasCapital, arg2 area and the state of arg1 0.11999994434402382)	0.11999994434402382
coupled_cpl	extractionPatterns(stateHasCapital, arg2 becomes the capital of arg1 0.1052631366954227)	0.1052631366954227
coupled_cpl	extractionPatterns(stateHasCapital, arg2 is the biggest city in arg1 0.0312499969624916)	0.0312499969624916
coupled_cpl	extractionPatterns(stateHasCapital, arg2 is the capital city of arg1 0.07993727614678178)	0.07993727614678178
coupled_cpl	extractionPatterns(stateHasCapital, arg2 is the capital of arg1 0.011359180583782904)	0.011359180583782904
coupled_cpl	extractionPatterns(stateHasCapital, arg2 is the capitol of arg1 0.09722221930173884)	0.09722221930173884
coupled_cpl	extractionPatterns(stateHasCapital, arg2 is the largest city in arg1 0.13897280673367535)	0.13897280673367535
coupled_cpl	extractionPatterns(stateHasCapital, arg2 is the largest city of arg1 0.09259260501205399)	0.09259260501205399
coupled_cpl	extractionPatterns(stateHasCapital, arg2 is the state capital of arg1 0.09722221930173884)	0.09722221930173884
coupled_cpl	extractionPatterns(stateHasCapital, arg2 the capital of arg1 0.006218907691199808)	0.006218907691199808
coupled_cpl	extractionPatterns(stateHasCapital, arg2 wedding limousine service companies in arg1 0.14035083875856164)	0.14035083875856164
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and the country of arg2 0.006607928916563273)	0.006607928916563273
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and the eighth largest in arg2 0.00526315827452889)	0.00526315827452889
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and the entire arg2 0.008249942898940875)	0.008249942898940875
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and the federal laws of arg2 0.21495318903042127)	0.21495318903042127
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and the laws of arg2 0.020257827842525274)	0.020257827842525274
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and the second in arg2 0.00526315827452889)	0.00526315827452889
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and the second largest in arg2 0.008695653290115287)	0.008695653290115287
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and the seventh largest in arg2 0.04195804871462371)	0.04195804871462371
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and the southeastern arg2 0.06666668007348202)	0.06666668007348202
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and the southwestern arg2 0.10909087810957703)	0.10909087810957703
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and the west coast of arg2 0.00526315827452889)	0.00526315827452889
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and the western arg2 0.01515869476151367)	0.01515869476151367
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 became a state of arg2 0.0727272599354615)	0.0727272599354615
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 became the first jurisdiction in arg2 0.011904759510039685)	0.011904759510039685
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 became the first state in arg2 0.07462684380275439)	0.07462684380275439
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 from elsewhere in arg2 0.005494503775147497)	0.005494503775147497
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 from other parts of arg2 0.00346981153214945)	0.00346981153214945
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 in the country of arg2 0.004830916875678215)	0.004830916875678215
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 in the southwest of arg2 0.00440528642062292)	0.00440528642062292
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 is the first state in arg2 0.13207544059392176)	0.13207544059392176
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 is the largest state in arg2 0.04895107250652425)	0.04895107250652425
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 is the only state in arg2 0.02028986050965964)	0.02028986050965964
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 law and controlling arg2 0.2867131615789055)	0.2867131615789055
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 on the west coast of arg2 0.004526935764717418)	0.004526935764717418
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 or anywhere else in arg2 0.03968253946497531)	0.03968253946497531
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 or the entire arg2 0.004770424425251745)	0.004770424425251745
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 or the rest of arg2 0.02583024982572358)	0.02583024982572358
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 ranks first in arg2 0.00440528642062292)	0.00440528642062292
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 than anywhere else in arg2 0.006321112865572408)	0.006321112865572408
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 was the first state in arg2 0.007894736558307807)	0.007894736558307807
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 and the largest in arg1 0.015873011530024923)	0.015873011530024923
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 Army base in arg1 0.08823531493659527)	0.08823531493659527
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 attorney for the district of arg1 0.09090911570894615)	0.09090911570894615
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 citizen and a resident of arg1 0.09090911570894615)	0.09090911570894615
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 district court in arg1 0.11111106414847875)	0.11111106414847875
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 District Court judge in arg1 0.059701507956484094)	0.059701507956484094
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 government documents in arg1 0.059701507956484094)	0.059701507956484094
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 is grown in arg1 0.0037735842490046706)	0.0037735842490046706
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 postal abbreviation for arg1 0.09090911570894615)	0.09090911570894615
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 presidential election in arg1 0.30588226682577324)	0.30588226682577324
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 Senate candidate in arg1 0.09090911570894615)	0.09090911570894615
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 Senate race in arg1 0.08955225225339601)	0.08955225225339601
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 Senate seat from arg1 0.04195804871462371)	0.04195804871462371
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 Senate seat in arg1 0.04895107250652425)	0.04895107250652425
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 senator and governor of arg1 0.11320759747066024)	0.11320759747066024
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 Senator for the state of arg1 0.09230767390777865)	0.09230767390777865
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 senator from arg1 0.16564422723722214)	0.16564422723722214
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 Senator from the state of arg1 0.11320759747066024)	0.11320759747066024
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 senators from arg1 0.008695653290115287)	0.008695653290115287
coupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 Supreme Court declared arg1 0.10256413179587653)	0.10256413179587653
coupled_cpl	extractionPatterns(stateOrProvince, abbreaviation is _ 0.7500000543388377)	0.7500000543388377
coupled_cpl	extractionPatterns(stateOrProvince, beautiful state of _ 0.8047062298747565)	0.8047062298747565
coupled_cpl	extractionPatterns(stateOrProvince, _ became the first state 0.7572014081259945)	0.7572014081259945
coupled_cpl	extractionPatterns(stateOrProvince, cattle drives from _ 0.6451612457620371)	0.6451612457620371
coupled_cpl	extractionPatterns(stateOrProvince, coastal state of _ 0.5964910749022164)	0.5964910749022164
coupled_cpl	extractionPatterns(stateOrProvince, cross-border terrorism in _ 0.5714284502488258)	0.5714284502488258
coupled_cpl	extractionPatterns(stateOrProvince, Disclaimers are predicated on applicable _ 0.5600002773417163)	0.5600002773417163
coupled_cpl	extractionPatterns(stateOrProvince, eastern state of _ 0.7074827722060605)	0.7074827722060605
coupled_cpl	extractionPatterns(stateOrProvince, entire state of _ 0.4611605647448987)	0.4611605647448987
coupled_cpl	extractionPatterns(stateOrProvince, family camping in _ 0.6891895065469926)	0.6891895065469926
coupled_cpl	extractionPatterns(stateOrProvince, farm in rural _ 0.540123209342781)	0.540123209342781
coupled_cpl	extractionPatterns(stateOrProvince, former governor of _ 0.39039860410512073)	0.39039860410512073
coupled_cpl	extractionPatterns(stateOrProvince, good churches in _ 0.8164553930242526)	0.8164553930242526
coupled_cpl	extractionPatterns(stateOrProvince, great state of _ 0.8564768415962738)	0.8564768415962738
coupled_cpl	extractionPatterns(stateOrProvince, hill state of _ 0.6153845020195187)	0.6153845020195187
coupled_cpl	extractionPatterns(stateOrProvince, history of southwestern _ 0.5625000815082595)	0.5625000815082595
coupled_cpl	extractionPatterns(stateOrProvince, home state of _ 0.8424440739729062)	0.8424440739729062
coupled_cpl	extractionPatterns(stateOrProvince, Indian rule in _ 0.6216214330931832)	0.6216214330931832
coupled_cpl	extractionPatterns(stateOrProvince, Indian state of _ 0.88679272936942)	0.88679272936942
coupled_cpl	extractionPatterns(stateOrProvince, investment advising available in _ 0.7411761223085922)	0.7411761223085922
coupled_cpl	extractionPatterns(stateOrProvince, _ is a no fault state 0.7391303400800004)	0.7391303400800004
coupled_cpl	extractionPatterns(stateOrProvince, _ is the first state 0.707317240605317)	0.707317240605317
coupled_cpl	extractionPatterns(stateOrProvince, _ is the only state 0.34069385189066775)	0.34069385189066775
coupled_cpl	extractionPatterns(stateOrProvince, Local markets in _ 0.8181815690145253)	0.8181815690145253
coupled_cpl	extractionPatterns(stateOrProvince, native state of _ 0.710344652977033)	0.710344652977033
coupled_cpl	extractionPatterns(stateOrProvince, nearby state of _ 0.6923075400867749)	0.6923075400867749
coupled_cpl	extractionPatterns(stateOrProvince, neighboring state of _ 0.6534651993839674)	0.6534651993839674
coupled_cpl	extractionPatterns(stateOrProvince, neighbouring state of _ 0.6624998152431916)	0.6624998152431916
coupled_cpl	extractionPatterns(stateOrProvince, panhandle of _ 0.7737070232369361)	0.7737070232369361
coupled_cpl	extractionPatterns(stateOrProvince, re-vote in _ 0.5384616506802858)	0.5384616506802858
coupled_cpl	extractionPatterns(stateOrProvince, rich state of _ 0.5789471984236444)	0.5789471984236444
coupled_cpl	extractionPatterns(stateOrProvince, senator from _ 0.5244102401073348)	0.5244102401073348
coupled_cpl	extractionPatterns(stateOrProvince, _ singles data 0.6913583454382005)	0.6913583454382005
coupled_cpl	extractionPatterns(stateOrProvince, _ singles statistics 0.6600002930147645)	0.6600002930147645
coupled_cpl	extractionPatterns(stateOrProvince, _ singles stats 0.6172840427433974)	0.6172840427433974
coupled_cpl	extractionPatterns(stateOrProvince, southern Mexican state of _ 0.5600002773417163)	0.5600002773417163
coupled_cpl	extractionPatterns(stateOrProvince, southern state of _ 0.604650907429684)	0.604650907429684
coupled_cpl	extractionPatterns(stateOrProvince, state bird of _ 0.6641793902199918)	0.6641793902199918
coupled_cpl	extractionPatterns(stateOrProvince, state except _ 0.6065810038466423)	0.6065810038466423
coupled_cpl	extractionPatterns(stateOrProvince, state flower of _ 0.6911316170863792)	0.6911316170863792
coupled_cpl	extractionPatterns(stateOrProvince, state government of _ 0.6158536037151051)	0.6158536037151051
coupled_cpl	extractionPatterns(stateOrProvince, state other than _ 0.5307856561327956)	0.5307856561327956
coupled_cpl	extractionPatterns(stateOrProvince, states , including _ 0.3630016134359606)	0.3630016134359606
coupled_cpl	extractionPatterns(stateOrProvince, states other than _ 0.6316966400455812)	0.6316966400455812
coupled_cpl	extractionPatterns(stateOrProvince, surveyor registered in _ 0.5384616506802858)	0.5384616506802858
coupled_cpl	extractionPatterns(stateOrProvince, _ was the first state 0.6988417201100461)	0.6988417201100461
coupled_cpl	extractionPatterns(stateOrProvince, _ was the home state 0.5384616506802858)	0.5384616506802858
coupled_cpl	extractionPatterns(stateOrProvince, _ was the only state 0.7016132168120816)	0.7016132168120816
coupled_cpl	extractionPatterns(stateOrProvince, western state of _ 0.7333332807561508)	0.7333332807561508
coupled_cpl	extractionPatterns(stateOrProvince, whole state of _ 0.6338030623549039)	0.6338030623549039
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 at home at arg2 0.00974026455492455)	0.00974026455492455
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 baseball at arg2 0.02040816934919737)	0.02040816934919737
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 baseball game at arg2 0.03278687487257101)	0.03278687487257101
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 baseball games at arg2 0.14285716415076063)	0.14285716415076063
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 basketball games at arg2 0.08064519940412121)	0.08064519940412121
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 fans at arg2 0.0038759673834174568)	0.0038759673834174568
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 football games at arg2 0.0025940342230957275)	0.0025940342230957275
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 game at arg2 0.0016420365643841257)	0.0016420365643841257
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 games at arg2 0.003973511763898097)	0.003973511763898097
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 hockey games at arg2 0.03571426822054728)	0.03571426822054728
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 home game at arg2 0.012987018465633417)	0.012987018465633417
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 home games at arg2 0.025316447390053922)	0.025316447390053922
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 lease at arg2 0.006493503911777328)	0.006493503911777328
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 locker room at arg2 0.006493503911777328)	0.006493503911777328
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 play at arg2 0.0025735294381040844)	0.0025735294381040844
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 play baseball in arg2 0.025316447390053922)	0.025316447390053922
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 play home games at arg2 0.025316447390053922)	0.025316447390053922
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 play their home games at arg2 0.008163265550896179)	0.008163265550896179
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 return home to arg2 0.0025940342230957275)	0.0025940342230957275
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 schedule at arg2 0.003614459320925129)	0.003614459320925129
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 tickets at arg2 4.7585041848452567E-4)	4.7585041848452567E-4
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 tickets at the outlet inside arg2 0.025316447390053922)	0.025316447390053922
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 tickets for all games at arg2 0.03571426822054728)	0.03571426822054728
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 tonight at arg2 0.0032840725357962427)	0.0032840725357962427
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 victory at arg2 0.0014214639325578558)	0.0014214639325578558
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 were playing at arg2 0.006493503911777328)	0.006493503911777328
coupled_cpl	extractionPatterns(teamHomeStadium, arg1 will play in arg2 0.003319503683999942)	0.003319503683999942
coupled_cpl	extractionPatterns(teamHomeStadium, arg2 has been the home of arg1 0.010600702568641745)	0.010600702568641745
coupled_cpl	extractionPatterns(teamHomeStadium, arg2 home of arg1 4.4903442624940416E-4)	4.4903442624940416E-4
coupled_cpl	extractionPatterns(teamHomeStadium, arg2 to cheer on your arg1 0.019047622278049382)	0.019047622278049382
coupled_cpl	extractionPatterns(teamHomeStadium, arg2 to watch arg1 1.4678259668554378E-4)	1.4678259668554378E-4
coupled_cpl	extractionPatterns(teammates, arg1 scored points and arg2 0.006249998845211527)	0.006249998845211527
coupled_cpl	extractionPatterns(teammates, arg1 scored twice and arg2 0.017094012892954546)	0.017094012892954546
coupled_cpl	extractionPatterns(teammates, arg2 scored points and arg1 0.006249998845211527)	0.006249998845211527
coupled_cpl	extractionPatterns(teammates, arg2 scored twice and arg1 0.017094012892954546)	0.017094012892954546
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 actually beat arg2 0.028571430328269018)	0.028571430328269018
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 are a better team than arg2 0.018633541794714714)	0.018633541794714714
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 are going to beat arg2 0.018633541794714714)	0.018633541794714714
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 are going to catch arg2 0.018633541794714714)	0.018633541794714714
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 are now tied with arg2 0.018518519380819918)	0.018518519380819918
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 are playing the arg2 0.024590157936028936)	0.024590157936028936
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 by knocking off arg2 0.027777776068225332)	0.027777776068225332
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 defeat arg2 0.0013123353749169885)	0.0013123353749169885
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 fans hate arg2 0.028571430328269018)	0.028571430328269018
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 game against arg2 8.892839229874578E-4)	8.892839229874578E-4
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 have already beaten arg2 0.021857918944733372)	0.021857918944733372
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 have beaten arg2 0.02083333356058106)	0.02083333356058106
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 have outscored arg2 0.021857918944733372)	0.021857918944733372
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 hold off arg2 0.03252032501634234)	0.03252032501634234
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 lose to arg2 0.02575107255805096)	0.02575107255805096
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 losing to arg2 0.021314386749947217)	0.021314386749947217
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 losing to the arg2 0.029069754778472318)	0.029069754778472318
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 lost to arg2 0.001200961251422131)	0.001200961251422131
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 lost to the arg2 0.019971460490544955)	0.019971460490544955
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 outgained arg2 0.024691357385493672)	0.024691357385493672
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 outplayed arg2 0.028938916442403973)	0.028938916442403973
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 outscored the arg2 0.03703703207423474)	0.03703703207423474
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 rout arg2 0.02575107255805096)	0.02575107255805096
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 were playing the arg2 0.02890172491513668)	0.02890172491513668
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 would beat arg2 0.021568637219845373)	0.021568637219845373
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 would sweep arg2 0.024844720592908626)	0.024844720592908626
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 actually beat arg1 0.029069754778472318)	0.029069754778472318
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 are playing the arg1 0.024590157936028936)	0.024590157936028936
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 by knocking off arg1 0.027777776068225332)	0.027777776068225332
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 defeat arg1 0.0013123353749169885)	0.0013123353749169885
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 fans hate arg1 0.029069754778472318)	0.029069754778472318
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 have already beaten arg1 0.021857918944733372)	0.021857918944733372
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 have beaten arg1 0.02083333356058106)	0.02083333356058106
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 have outscored arg1 0.021857918944733372)	0.021857918944733372
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 hold off arg1 0.03252032501634234)	0.03252032501634234
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 lose to arg1 0.02575107255805096)	0.02575107255805096
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 losing to arg1 0.021314386749947217)	0.021314386749947217
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 losing to the arg1 0.02890172491513668)	0.02890172491513668
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 lost to arg1 0.001200961251422131)	0.001200961251422131
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 lost to the arg1 0.019971460490544955)	0.019971460490544955
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 outgained arg1 0.024691357385493672)	0.024691357385493672
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 outplayed arg1 0.028938916442403973)	0.028938916442403973
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 outscored the arg1 0.03703703207423474)	0.03703703207423474
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 rout arg1 0.02575107255805096)	0.02575107255805096
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 swept arg1 4.922469679684086E-4)	4.922469679684086E-4
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 were playing the arg1 0.02890172491513668)	0.02890172491513668
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 would beat arg1 0.02941175072400807)	0.02941175072400807
coupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 would sweep arg1 0.024844720592908626)	0.024844720592908626
coupled_cpl	extractionPatterns(teamPlaysInCity, arg1 are currently based in arg2 0.052631577850865294)	0.052631577850865294
coupled_cpl	extractionPatterns(teamPlaysInCity, arg2 to face arg1 2.0986355007100079E-4)	2.0986355007100079E-4
coupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 dominance in arg2 0.004909982015565662)	0.004909982015565662
coupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 have dominated arg2 0.0024844722903319813)	0.0024844722903319813
coupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 have the best record in arg2 0.08771932942109764)	0.08771932942109764
coupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 lead arg2 1.59020409873137E-4)	1.59020409873137E-4
coupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 the best team in arg2 0.03508772236051259)	0.03508772236051259
coupled_cpl	extractionPatterns(teamPlaysInLeague, arg2 record for arg1 2.3177650294319162E-4)	2.3177650294319162E-4
coupled_cpl	extractionPatterns(teamPlaysInLeague, arg2 season arg1 1.3346383709539594E-4)	1.3346383709539594E-4
coupled_cpl	extractionPatterns(teamPlaysInLeague, arg2 seasons with arg1 0.01554403990005359)	0.01554403990005359
coupled_cpl	extractionPatterns(teamPlaysSport, arg1 are playing their best arg2 0.07142859497252234)	0.07142859497252234
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 again reached arg2 0.013513514773029384)	0.013513514773029384
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 are going to win arg2 0.019230763818874366)	0.019230763818874366
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 are trying to win arg2 0.009868425125705897)	0.009868425125705897
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 captured their first arg2 0.019512187668655423)	0.019512187668655423
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 did not win arg2 0.010040162295086)	0.010040162295086
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 did win arg2 0.010362694386994196)	0.010362694386994196
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 fail to win arg2 0.014814808857460223)	0.014814808857460223
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 finally won arg2 0.04128442371136187)	0.04128442371136187
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 go on to win arg2 0.014814808857460223)	0.014814808857460223
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 had just won arg2 0.009868425125705897)	0.009868425125705897
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 had won arg2 0.008153279826371991)	0.008153279826371991
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 have finally won arg2 0.013513514773029384)	0.013513514773029384
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 have never won arg2 0.029268278338843115)	0.029268278338843115
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 have not won arg2 0.03999999299472865)	0.03999999299472865
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 just won arg2 0.01764706144203817)	0.01764706144203817
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 last won arg2 0.03703703207423474)	0.03703703207423474
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 lose in arg2 0.011661808583627437)	0.011661808583627437
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 lost the DDDD arg2 0.029629641994625953)	0.029629641994625953
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 might win arg2 0.014598536427273165)	0.014598536427273165
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 not winning arg2 0.014598536427273165)	0.014598536427273165
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 reach their first arg2 0.009868425125705897)	0.009868425125705897
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 should win arg2 0.010416668661123486)	0.010416668661123486
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 team that won arg2 0.019943021426991128)	0.019943021426991128
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 to four arg2 0.011396009827304671)	0.011396009827304671
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 to their second consecutive arg2 0.013513514773029384)	0.013513514773029384
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 to win the DDDD arg2 0.016260165444105492)	0.016260165444105492
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 want to win arg2 0.013513514773029384)	0.013513514773029384
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 went on to win arg2 0.01973001892004548)	0.01973001892004548
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 were going to win arg2 0.05333332012887736)	0.05333332012887736
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 were playing in arg2 0.015432092644418322)	0.015432092644418322
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 will not win arg2 0.015384619536856511)	0.015384619536856511
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 will win arg2 0.010621468456362193)	0.010621468456362193
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 will win the DDDD arg2 0.02439024552937341)	0.02439024552937341
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 win arg2 0.008282917645572069)	0.008282917645572069
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 winning their second arg2 0.015384619536856511)	0.015384619536856511
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 win the DDDD arg2 0.05333332012887736)	0.05333332012887736
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 win their first arg2 0.014598536427273165)	0.014598536427273165
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 won the DDDD arg2 0.010123731072665572)	0.010123731072665572
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 won their first arg2 0.033509711052320854)	0.033509711052320854
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 won their second arg2 0.023076926810480444)	0.023076926810480444
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 won their third arg2 0.03999999299472865)	0.03999999299472865
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 would never win arg2 0.02189780227357842)	0.02189780227357842
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 would not win arg2 0.029268278338843115)	0.029268278338843115
coupled_cpl	extractionPatterns(teamWonTrophy, arg1 would win arg2 0.014736837020748864)	0.014736837020748864
coupled_cpl	extractionPatterns(teamWonTrophy, arg2 champion arg1 0.0149306967610033)	0.0149306967610033
coupled_cpl	extractionPatterns(teamWonTrophy, arg2 championships with arg1 0.014598536427273165)	0.014598536427273165
coupled_cpl	extractionPatterns(teamWonTrophy, arg2 rings with arg1 0.012061400098723692)	0.012061400098723692
coupled_cpl	extractionPatterns(teamWonTrophy, arg2 ring when arg1 0.011396009827304671)	0.011396009827304671
coupled_cpl	extractionPatterns(teamWonTrophy, arg2 title against arg1 0.012820510598584696)	0.012820510598584696
coupled_cpl	extractionPatterns(teamWonTrophy, arg2 win by arg1 0.010126586367405703)	0.010126586367405703
coupled_cpl	extractionPatterns(tool, adjustable pair of _ 0.2727272683991621)	0.2727272683991621
coupled_cpl	extractionPatterns(tool, axes , small _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(tool, ball peen _ 0.9411761146508295)	0.9411761146508295
coupled_cpl	extractionPatterns(tool, barb with _ 0.23076924664463755)	0.23076924664463755
coupled_cpl	extractionPatterns(tool, baseball throwing _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(tool, clanks of _ 0.2666666239952886)	0.2666666239952886
coupled_cpl	extractionPatterns(tool, construction workers using _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(tool, grinders , electric _ 0.3333334295560505)	0.3333334295560505
coupled_cpl	extractionPatterns(tool, guns , electric _ 0.30769230656666036)	0.30769230656666036
coupled_cpl	extractionPatterns(tool, hand tools including _ 0.19999998248682085)	0.19999998248682085
coupled_cpl	extractionPatterns(tool, hand tools of _ 0.42253542058279553)	0.42253542058279553
coupled_cpl	extractionPatterns(tool, makita cordless _ 0.36000008911152426)	0.36000008911152426
coupled_cpl	extractionPatterns(tool, mob wielding _ 0.250000090279989)	0.250000090279989
coupled_cpl	extractionPatterns(tool, needle nosed _ 0.910447538332519)	0.910447538332519
coupled_cpl	extractionPatterns(tool, pair of adjustable _ 0.24242424722100475)	0.24242424722100475
coupled_cpl	extractionPatterns(tool, pair of diagonal _ 0.7647058721018136)	0.7647058721018136
coupled_cpl	extractionPatterns(tool, power tools including _ 0.23076924664463755)	0.23076924664463755
coupled_cpl	extractionPatterns(tool, power tools , like _ 0.5000000902799808)	0.5000000902799808
coupled_cpl	extractionPatterns(tool, saws , electric _ 0.30769230656666036)	0.30769230656666036
coupled_cpl	extractionPatterns(tool, short handled _ 0.22666661441549407)	0.22666661441549407
coupled_cpl	extractionPatterns(tool, _ slung behind 0.19999998248682085)	0.19999998248682085
coupled_cpl	extractionPatterns(tool, small pair of _ 0.31976753509858347)	0.31976753509858347
coupled_cpl	extractionPatterns(tool, ties , using _ 0.3846155557798213)	0.3846155557798213
coupled_cpl	extractionPatterns(tool, types of hand-held _ 0.2727272683991621)	0.2727272683991621
coupled_cpl	extractionPatterns(tool, variety of cordless _ 0.2666666239952886)	0.2666666239952886
coupled_cpl	extractionPatterns(tool, workers , armed with _ 0.37500009487940933)	0.37500009487940933
coupled_cpl	extractionPatterns(tool, workers wielding _ 0.2666666239952886)	0.2666666239952886
coupled_cpl	extractionPatterns(trait, act of great _ 0.2199999411785585)	0.2199999411785585
coupled_cpl	extractionPatterns(trait, act of sexual _ 0.652985078928302)	0.652985078928302
coupled_cpl	extractionPatterns(trait, acts of great _ 0.48571414846757255)	0.48571414846757255
coupled_cpl	extractionPatterns(trait, acts of political _ 0.5228759669116837)	0.5228759669116837
coupled_cpl	extractionPatterns(trait, acts of sexual _ 0.4518829919631511)	0.4518829919631511
coupled_cpl	extractionPatterns(trait, amazing acts of _ 0.3086420771000903)	0.3086420771000903
coupled_cpl	extractionPatterns(trait, assault , sexual _ 0.6947369460199194)	0.6947369460199194
coupled_cpl	extractionPatterns(trait, assaults , sexual _ 0.727272531722597)	0.727272531722597
coupled_cpl	extractionPatterns(trait, case of sexual _ 0.5879396337760243)	0.5879396337760243
coupled_cpl	extractionPatterns(trait, charge of sexual _ 0.6470588696374311)	0.6470588696374311
coupled_cpl	extractionPatterns(trait, charges of sexual _ 0.6736524189334787)	0.6736524189334787
coupled_cpl	extractionPatterns(trait, committed acts of _ 0.42045450418019903)	0.42045450418019903
coupled_cpl	extractionPatterns(trait, complaints of sexual _ 0.8529409160077143)	0.8529409160077143
coupled_cpl	extractionPatterns(trait, convictions for sexual _ 0.7727273571879908)	0.7727273571879908
coupled_cpl	extractionPatterns(trait, countless acts of _ 0.38095234134994)	0.38095234134994
coupled_cpl	extractionPatterns(trait, counts of sexual _ 0.546666692268162)	0.546666692268162
coupled_cpl	extractionPatterns(trait, daily acts of _ 0.3282443429223455)	0.3282443429223455
coupled_cpl	extractionPatterns(trait, definition of sexual _ 0.6363637151092231)	0.6363637151092231
coupled_cpl	extractionPatterns(trait, extraordinary act of _ 0.3373494305228815)	0.3373494305228815
coupled_cpl	extractionPatterns(trait, extraordinary acts of _ 0.5795455598800996)	0.5795455598800996
coupled_cpl	extractionPatterns(trait, further acts of _ 0.4549548935501529)	0.4549548935501529
coupled_cpl	extractionPatterns(trait, future acts of _ 0.6168829384886192)	0.6168829384886192
coupled_cpl	extractionPatterns(trait, homicide , sexual _ 0.7999996410514483)	0.7999996410514483
coupled_cpl	extractionPatterns(trait, incidents of sexual _ 0.7260727954275547)	0.7260727954275547
coupled_cpl	extractionPatterns(trait, individual acts of _ 0.3094629200537688)	0.3094629200537688
coupled_cpl	extractionPatterns(trait, laws against sexual _ 0.7560974567998611)	0.7560974567998611
coupled_cpl	extractionPatterns(trait, little acts of _ 0.4207316750162134)	0.4207316750162134
coupled_cpl	extractionPatterns(trait, many acts of _ 0.2540000030387546)	0.2540000030387546
coupled_cpl	extractionPatterns(trait, more acts of _ 0.467153211080159)	0.467153211080159
coupled_cpl	extractionPatterns(trait, new standards of _ 0.2180685098929797)	0.2180685098929797
coupled_cpl	extractionPatterns(trait, numerous acts of _ 0.5064933928992006)	0.5064933928992006
coupled_cpl	extractionPatterns(trait, other forms of sexual _ 0.6772904994178479)	0.6772904994178479
coupled_cpl	extractionPatterns(trait, paragons of _ 0.361746351216371)	0.361746351216371
coupled_cpl	extractionPatterns(trait, prevention of sexual _ 0.7130804726998021)	0.7130804726998021
coupled_cpl	extractionPatterns(trait, random act of _ 0.5506218516958641)	0.5506218516958641
coupled_cpl	extractionPatterns(trait, random acts of _ 0.47750865193017783)	0.47750865193017783
coupled_cpl	extractionPatterns(trait, rape , sexual _ 0.5866387887049799)	0.5866387887049799
coupled_cpl	extractionPatterns(trait, recent acts of _ 0.35789486818390726)	0.35789486818390726
coupled_cpl	extractionPatterns(trait, reporting of sexual _ 0.7346941417870394)	0.7346941417870394
coupled_cpl	extractionPatterns(trait, reports of sexual _ 0.6851852769452256)	0.6851852769452256
coupled_cpl	extractionPatterns(trait, robbery , sexual _ 0.7631581463805005)	0.7631581463805005
coupled_cpl	extractionPatterns(trait, several acts of _ 0.4642857851884937)	0.4642857851884937
coupled_cpl	extractionPatterns(trait, similar acts of _ 0.4615384099539175)	0.4615384099539175
coupled_cpl	extractionPatterns(trait, simple acts of _ 0.3694917006036473)	0.3694917006036473
coupled_cpl	extractionPatterns(trait, small act of _ 0.3978874908370836)	0.3978874908370836
coupled_cpl	extractionPatterns(trait, small acts of _ 0.47979804653500197)	0.47979804653500197
coupled_cpl	extractionPatterns(trait, violence , sexual _ 0.6336154844113521)	0.6336154844113521
coupled_cpl	extractionPatterns(trait, virtues like _ 0.2944785835285073)	0.2944785835285073
coupled_cpl	extractionPatterns(trait, virtues such as _ 0.33823545959827594)	0.33823545959827594
coupled_cpl	extractionPatterns(trait, weapons of _ 0.6968173180948768)	0.6968173180948768
coupled_cpl	extractionPatterns(university, American studies at _ 0.5619047092272066)	0.5619047092272066
coupled_cpl	extractionPatterns(university, anthropology at _ 0.5815740337465255)	0.5815740337465255
coupled_cpl	extractionPatterns(university, anthropology from _ 0.3849430029267895)	0.3849430029267895
coupled_cpl	extractionPatterns(university, biochemistry from _ 0.5445344878758279)	0.5445344878758279
coupled_cpl	extractionPatterns(university, biological sciences at _ 0.5868547115065821)	0.5868547115065821
coupled_cpl	extractionPatterns(university, biomedical engineering at _ 0.5856353223110421)	0.5856353223110421
coupled_cpl	extractionPatterns(university, chemical engineering at _ 0.49258167231842)	0.49258167231842
coupled_cpl	extractionPatterns(university, chemical engineering from _ 0.5130433163738891)	0.5130433163738891
coupled_cpl	extractionPatterns(university, civil engineering from _ 0.5558254349202291)	0.5558254349202291
coupled_cpl	extractionPatterns(university, clinical psychology from _ 0.589041287596711)	0.589041287596711
coupled_cpl	extractionPatterns(university, comparative literature at _ 0.39024403686422865)	0.39024403686422865
coupled_cpl	extractionPatterns(university, computer engineering at _ 0.4967318180658209)	0.4967318180658209
coupled_cpl	extractionPatterns(university, computer engineering from _ 0.4933334324401057)	0.4933334324401057
coupled_cpl	extractionPatterns(university, computer science department at _ 0.5906976399626619)	0.5906976399626619
coupled_cpl	extractionPatterns(university, computer science from _ 0.549960401841127)	0.549960401841127
coupled_cpl	extractionPatterns(university, computer science professor at _ 0.618556958524558)	0.618556958524558
coupled_cpl	extractionPatterns(university, doctoral work at _ 0.5622897458130022)	0.5622897458130022
coupled_cpl	extractionPatterns(university, economics from _ 0.5647156211187566)	0.5647156211187566
coupled_cpl	extractionPatterns(university, economics professor at _ 0.5726743777359775)	0.5726743777359775
coupled_cpl	extractionPatterns(university, education administration from _ 0.6081869261145028)	0.6081869261145028
coupled_cpl	extractionPatterns(university, electrical engineering at _ 0.5557348427577988)	0.5557348427577988
coupled_cpl	extractionPatterns(university, electrical engineering from _ 0.10944621911650754)	0.10944621911650754
coupled_cpl	extractionPatterns(university, engineering professor at _ 0.6428569836079735)	0.6428569836079735
coupled_cpl	extractionPatterns(university, grad student at _ 0.32603941500517203)	0.32603941500517203
coupled_cpl	extractionPatterns(university, graduate school at _ 0.3195287579442353)	0.3195287579442353
coupled_cpl	extractionPatterns(university, journalism degree from _ 0.5981737592083177)	0.5981737592083177
coupled_cpl	extractionPatterns(university, law degrees from _ 0.5300001443910834)	0.5300001443910834
coupled_cpl	extractionPatterns(university, law professor at _ 0.5581899289794202)	0.5581899289794202
coupled_cpl	extractionPatterns(university, library science from _ 0.587912001262606)	0.587912001262606
coupled_cpl	extractionPatterns(university, linguistics from _ 0.4754602484336254)	0.4754602484336254
coupled_cpl	extractionPatterns(university, mechanical engineering at _ 0.5682283024980183)	0.5682283024980183
coupled_cpl	extractionPatterns(university, mechanical engineering from _ 0.09986320295198534)	0.09986320295198534
coupled_cpl	extractionPatterns(university, microbiology from _ 0.587912001262606)	0.587912001262606
coupled_cpl	extractionPatterns(university, molecular biology from _ 0.5856353223110421)	0.5856353223110421
coupled_cpl	extractionPatterns(university, neuroscientist at _ 0.5748793996053734)	0.5748793996053734
coupled_cpl	extractionPatterns(university, organic chemistry from _ 0.5619047092272066)	0.5619047092272066
coupled_cpl	extractionPatterns(university, physics from _ 0.09455127490922909)	0.09455127490922909
coupled_cpl	extractionPatterns(university, physics professor at _ 0.5735294456295885)	0.5735294456295885
coupled_cpl	extractionPatterns(university, political science at _ 0.5845341931220293)	0.5845341931220293
coupled_cpl	extractionPatterns(university, political science from _ 0.32778118897377767)	0.32778118897377767
coupled_cpl	extractionPatterns(university, political science professor at _ 0.5913312073641552)	0.5913312073641552
coupled_cpl	extractionPatterns(university, postdoctoral research at _ 0.09798273395171424)	0.09798273395171424
coupled_cpl	extractionPatterns(university, professor emeritus at _ 0.5759767406025079)	0.5759767406025079
coupled_cpl	extractionPatterns(university, psychology professor at _ 0.5804416498213448)	0.5804416498213448
coupled_cpl	extractionPatterns(university, public administration from _ 0.5196077910372958)	0.5196077910372958
coupled_cpl	extractionPatterns(university, public policy from _ 0.10992906333348319)	0.10992906333348319
coupled_cpl	extractionPatterns(university, social psychology from _ 0.5721649242802084)	0.5721649242802084
coupled_cpl	extractionPatterns(university, sociology from _ 0.5409637542876321)	0.5409637542876321
coupled_cpl	extractionPatterns(university, undergraduate at _ 0.569500852026683)	0.569500852026683
coupled_cpl	extractionPatterns(university, zoology from _ 0.6428569836079735)	0.6428569836079735
coupled_cpl	extractionPatterns(vehicle, airline tickets , rental _ 0.9365082010581799)	0.9365082010581799
coupled_cpl	extractionPatterns(vehicle, ample parking for _ 0.2105262353782364)	0.2105262353782364
coupled_cpl	extractionPatterns(vehicle, auto parts , used _ 0.6504856768174314)	0.6504856768174314
coupled_cpl	extractionPatterns(vehicle, autos , classic _ 1.0)	1.0
coupled_cpl	extractionPatterns(vehicle, autos , used _ 0.6879432017862026)	0.6879432017862026
coupled_cpl	extractionPatterns(vehicle, BMW used _ 0.7407404388521638)	0.7407404388521638
coupled_cpl	extractionPatterns(vehicle, book value used _ 0.599083674682886)	0.599083674682886
coupled_cpl	extractionPatterns(vehicle, budget used _ 0.8922017454018365)	0.8922017454018365
coupled_cpl	extractionPatterns(vehicle, car buying guide lists new _ 0.9919356924081847)	0.9919356924081847
coupled_cpl	extractionPatterns(vehicle, car parts , used _ 0.7547173278779555)	0.7547173278779555
coupled_cpl	extractionPatterns(vehicle, cars salvaged _ 0.6666667387387801)	0.6666667387387801
coupled_cpl	extractionPatterns(vehicle, cars , used _ 0.8402893350203844)	0.8402893350203844
coupled_cpl	extractionPatterns(vehicle, car , used _ 0.6260387555337803)	0.6260387555337803
coupled_cpl	extractionPatterns(vehicle, car values , used _ 0.8869568012005298)	0.8869568012005298
coupled_cpl	extractionPatterns(vehicle, cell powered _ 0.321525957448212)	0.321525957448212
coupled_cpl	extractionPatterns(vehicle, chauffeur driven _ 0.4162621703653308)	0.4162621703653308
coupled_cpl	extractionPatterns(vehicle, cheap used _ 0.26842466008342086)	0.26842466008342086
coupled_cpl	extractionPatterns(vehicle, cheep used _ 0.9137931920810003)	0.9137931920810003
coupled_cpl	extractionPatterns(vehicle, classifieds featuring _ 0.819999949753549)	0.819999949753549
coupled_cpl	extractionPatterns(vehicle, dealer , new _ 0.5800001017561787)	0.5800001017561787
coupled_cpl	extractionPatterns(vehicle, freightliner used _ 0.7108434899947303)	0.7108434899947303
coupled_cpl	extractionPatterns(vehicle, georgia used _ 0.6571427556538956)	0.6571427556538956
coupled_cpl	extractionPatterns(vehicle, _ had crashed into 0.30176219668109394)	0.30176219668109394
coupled_cpl	extractionPatterns(vehicle, _ hire companies 0.48421076605402263)	0.48421076605402263
coupled_cpl	extractionPatterns(vehicle, _ hire company 0.6301886877966076)	0.6301886877966076
coupled_cpl	extractionPatterns(vehicle, _ hire in 0.39787077991340025)	0.39787077991340025
coupled_cpl	extractionPatterns(vehicle, horse drawn _ 0.35941268870896836)	0.35941268870896836
coupled_cpl	extractionPatterns(vehicle, hydrogen powered _ 0.1431717958798929)	0.1431717958798929
coupled_cpl	extractionPatterns(vehicle, infiniti used _ 0.6833336719372424)	0.6833336719372424
coupled_cpl	extractionPatterns(vehicle, inventory of used _ 0.6363637151092231)	0.6363637151092231
coupled_cpl	extractionPatterns(vehicle, _ is parked in 0.43992588915280995)	0.43992588915280995
coupled_cpl	extractionPatterns(vehicle, _ is parked on 0.3836859114581607)	0.3836859114581607
coupled_cpl	extractionPatterns(vehicle, new car prices , used _ 0.9849247861146825)	0.9849247861146825
coupled_cpl	extractionPatterns(vehicle, new car pricing , used _ 0.9791670673396261)	0.9791670673396261
coupled_cpl	extractionPatterns(vehicle, own fleet of _ 0.29383878863849483)	0.29383878863849483
coupled_cpl	extractionPatterns(vehicle, _ parked along 0.23791828609480115)	0.23791828609480115
coupled_cpl	extractionPatterns(vehicle, _ parked on 0.27892509776403673)	0.27892509776403673
coupled_cpl	extractionPatterns(vehicle, _ parked outside 0.27712267522078016)	0.27712267522078016
coupled_cpl	extractionPatterns(vehicle, people riding _ 0.1417769827488714)	0.1417769827488714
coupled_cpl	extractionPatterns(vehicle, quality inspected used _ 0.9793815284100036)	0.9793815284100036
coupled_cpl	extractionPatterns(vehicle, quality pre-owned _ 0.3627450619968815)	0.3627450619968815
coupled_cpl	extractionPatterns(vehicle, quality used _ 0.28260870668170146)	0.28260870668170146
coupled_cpl	extractionPatterns(vehicle, sales , used _ 0.6954890582148341)	0.6954890582148341
coupled_cpl	extractionPatterns(vehicle, sale , used _ 0.24879226694771714)	0.24879226694771714
coupled_cpl	extractionPatterns(vehicle, search for used _ 0.7947020614830856)	0.7947020614830856
coupled_cpl	extractionPatterns(vehicle, selection of used _ 0.6473281021236748)	0.6473281021236748
coupled_cpl	extractionPatterns(vehicle, source for used _ 0.7934783687037833)	0.7934783687037833
coupled_cpl	extractionPatterns(vehicle, trucks used _ 0.3550086938813401)	0.3550086938813401
coupled_cpl	extractionPatterns(vehicle, vehicles including _ 0.22232833572183353)	0.22232833572183353
coupled_cpl	extractionPatterns(vehicle, volkswagen passat used _ 0.7407404388521638)	0.7407404388521638
mbl	extractionPatterns(academicField, AB degree in _ 0.4482760738905392)	0.4482760738905392
mbl	extractionPatterns(academicField, Arts degrees in _ 0.40942030909979565)	0.40942030909979565
mbl	extractionPatterns(academicField, Bachelor 's in _ 0.4556961633467462)	0.4556961633467462
mbl	extractionPatterns(academicField, Bachelor degree in _ 0.4280762264824798)	0.4280762264824798
mbl	extractionPatterns(academicField, Bachelors degree in _ 0.422455991390304)	0.422455991390304
mbl	extractionPatterns(academicField, Bachelors Degree in _ 0.45098058012335385)	0.45098058012335385
mbl	extractionPatterns(academicField, Bachelors degrees in _ 0.4946237037263615)	0.4946237037263615
mbl	extractionPatterns(academicField, B.A. cum laude in _ 0.43589756757048953)	0.43589756757048953
mbl	extractionPatterns(academicField, B.A. degree in _ 0.20104289213133944)	0.20104289213133944
mbl	extractionPatterns(academicField, BA degree in _ 0.21203943658131977)	0.21203943658131977
mbl	extractionPatterns(academicField, BA degrees in _ 0.31914906402380705)	0.31914906402380705
mbl	extractionPatterns(academicField, B.A. degrees in _ 0.40689667318882117)	0.40689667318882117
mbl	extractionPatterns(academicField, B.A. in _ 0.23975229327212466)	0.23975229327212466
mbl	extractionPatterns(academicField, BA is in _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(academicField, book was translated into _ 0.4485294214362294)	0.4485294214362294
mbl	extractionPatterns(academicField, BSc degree in _ 0.20346322560238883)	0.20346322560238883
mbl	extractionPatterns(academicField, B.S.E. degree in _ 0.48571414846757255)	0.48571414846757255
mbl	extractionPatterns(academicField, course description , see _ 0.4177216405445475)	0.4177216405445475
mbl	extractionPatterns(academicField, courses are taught in _ 0.512711997419056)	0.512711997419056
mbl	extractionPatterns(academicField, Critical Terms for _ 0.4615384099539175)	0.4615384099539175
mbl	extractionPatterns(academicField, double majoring in _ 0.430962155068213)	0.430962155068213
mbl	extractionPatterns(academicField, Ejournals for _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(academicField, first class degree in _ 0.4074072416765353)	0.4074072416765353
mbl	extractionPatterns(academicField, first degree was in _ 0.409090858372679)	0.409090858372679
mbl	extractionPatterns(academicField, good honours degree in _ 0.2173913703250207)	0.2173913703250207
mbl	extractionPatterns(academicField, Honors degree in _ 0.49367098793871467)	0.49367098793871467
mbl	extractionPatterns(academicField, honors work in _ 0.4177216405445475)	0.4177216405445475
mbl	extractionPatterns(academicField, Honours degree in _ 0.22439755525017627)	0.22439755525017627
mbl	extractionPatterns(academicField, Honours program in _ 0.22826090136780616)	0.22826090136780616
mbl	extractionPatterns(academicField, Instruction is in _ 0.6075948404409983)	0.6075948404409983
mbl	extractionPatterns(academicField, _ is the systematic study 0.22222231039474505)	0.22222231039474505
mbl	extractionPatterns(academicField, joint honours degree in _ 0.5555553693900973)	0.5555553693900973
mbl	extractionPatterns(academicField, Junior majoring in _ 0.5238096101988442)	0.5238096101988442
mbl	extractionPatterns(academicField, language besides _ 0.5887097506881911)	0.5887097506881911
mbl	extractionPatterns(academicField, languages other than _ 0.8084980595740112)	0.8084980595740112
mbl	extractionPatterns(academicField, many different languages including _ 0.5277777562917705)	0.5277777562917705
mbl	extractionPatterns(academicField, native speaker of _ 0.46713125539520095)	0.46713125539520095
mbl	extractionPatterns(academicField, Native speakers of _ 0.45731721689997135)	0.45731721689997135
mbl	extractionPatterns(academicField, native speakers of _ 0.4888649517207871)	0.4888649517207871
mbl	extractionPatterns(academicField, several languages , including _ 0.4468085839089283)	0.4468085839089283
mbl	extractionPatterns(academicField, several languages including _ 0.4605264441828088)	0.4605264441828088
mbl	extractionPatterns(academicField, _ speaking staff 0.6451612457620371)	0.6451612457620371
mbl	extractionPatterns(academicField, staff are fluent in _ 0.5454544383110917)	0.5454544383110917
mbl	extractionPatterns(academicField, staff fluent in _ 0.5555553693900973)	0.5555553693900973
mbl	extractionPatterns(academicField, staff is fluent in _ 0.5833330420941402)	0.5833330420941402
mbl	extractionPatterns(academicField, staff speak _ 0.5347825838554165)	0.5347825838554165
mbl	extractionPatterns(academicField, subject test in _ 0.22222231039474505)	0.22222231039474505
mbl	extractionPatterns(academicField, Undergraduate course in _ 0.5999997742596369)	0.5999997742596369
mbl	extractionPatterns(academicField, University majoring in _ 0.4110575705354055)	0.4110575705354055
mbl	extractionPatterns(academicField, verbal communication skills in _ 0.5185182781277219)	0.5185182781277219
mbl	extractionPatterns(acquired, arg1 acquired arg2 0.002021921463777407)	0.002021921463777407
mbl	extractionPatterns(acquired, arg1 acquired from arg2 7.601673131739661E-4)	7.601673131739661E-4
mbl	extractionPatterns(acquired, arg1 announced plans to buy arg2 0.003616635880515029)	0.003616635880515029
mbl	extractionPatterns(acquired, arg1 bought arg2 0.0031821315754499784)	0.0031821315754499784
mbl	extractionPatterns(acquired, arg1 bought out arg2 0.002320185823906617)	0.002320185823906617
mbl	extractionPatterns(acquired, arg1 has acquired arg2 0.001156337033215812)	0.001156337033215812
mbl	extractionPatterns(acquired, arg1 has bought arg2 0.0036927604912785276)	0.0036927604912785276
mbl	extractionPatterns(acquired, arg1 now owns arg2 0.01006711608561055)	0.01006711608561055
mbl	extractionPatterns(acquired, arg1 owns arg2 0.0027423858206242326)	0.0027423858206242326
mbl	extractionPatterns(acquired, arg1 paid for arg2 4.511958750493833E-4)	4.511958750493833E-4
mbl	extractionPatterns(acquired, arg1 plans to keep arg2 0.003616635880515029)	0.003616635880515029
mbl	extractionPatterns(acquired, arg1 purchase arg2 9.393194756085109E-5)	9.393194756085109E-5
mbl	extractionPatterns(acquired, arg1 purchased arg2 0.0018251976435059276)	0.0018251976435059276
mbl	extractionPatterns(acquired, arg1 recently acquired arg2 0.002583978534960798)	0.002583978534960798
mbl	extractionPatterns(acquired, arg1 subsidiary arg2 0.00213037981128454)	0.00213037981128454
mbl	extractionPatterns(acquired, arg1 to Acquire arg2 0.002583978534960798)	0.002583978534960798
mbl	extractionPatterns(acquired, arg1 took over arg2 7.930914669838664E-4)	7.930914669838664E-4
mbl	extractionPatterns(acquired, arg2 acquisition by arg1 0.00723327045499102)	0.00723327045499102
mbl	extractionPatterns(acquired, arg2 being purchased by arg1 0.002583978534960798)	0.002583978534960798
mbl	extractionPatterns(acquired, arg2 is a subsidiary of arg1 0.0010668562918873894)	0.0010668562918873894
mbl	extractionPatterns(acquired, arg2 is now owned by arg1 0.001140250846490517)	0.001140250846490517
mbl	extractionPatterns(acquired, arg2 is owned by arg1 0.0014442010744089352)	0.0014442010744089352
mbl	extractionPatterns(acquired, arg2 owner arg1 1.9259943348724117E-4)	1.9259943348724117E-4
mbl	extractionPatterns(acquired, arg2 parent arg1 6.940587131189389E-4)	6.940587131189389E-4
mbl	extractionPatterns(acquired, arg2 was acquired by arg1 0.0021181949323284387)	0.0021181949323284387
mbl	extractionPatterns(acquired, arg2 was bought by arg1 0.002166377199293609)	0.002166377199293609
mbl	extractionPatterns(acquired, arg2 was purchased by arg1 0.0011208252888301015)	0.0011208252888301015
mbl	extractionPatterns(acquired, arg2 was sold to arg1 4.9325858906739E-4)	4.9325858906739E-4
mbl	extractionPatterns(acquired, arg2 which is owned by arg1 0.002583978534960798)	0.002583978534960798
mbl	extractionPatterns(actor, American TV appearances by _ 0.122448958638684)	0.122448958638684
mbl	extractionPatterns(actor, Away , starring _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(actor, blockbuster starring _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(actor, Bond films starring _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(actor, Bond film starring _ 0.6666667387387801)	0.6666667387387801
mbl	extractionPatterns(actor, Bond movie starring _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(actor, book , starring _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(actor, Celebrity fans include _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(actor, Chocolate Factory starring _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(actor, classic film starring _ 0.5263157295644217)	0.5263157295644217
mbl	extractionPatterns(actor, comedy film starring _ 0.45161284671543667)	0.45161284671543667
mbl	extractionPatterns(actor, crime thriller starring _ 0.5384616506802858)	0.5384616506802858
mbl	extractionPatterns(actor, detective , played by _ 0.5333331516919638)	0.5333331516919638
mbl	extractionPatterns(actor, Entrapment , starring _ 0.11764707805838637)	0.11764707805838637
mbl	extractionPatterns(actor, exclusive biography of _ 0.681818353811003)	0.681818353811003
mbl	extractionPatterns(actor, Eye starring _ 0.5238096101988442)	0.5238096101988442
mbl	extractionPatterns(actor, favorite actor is _ 0.3977271744841911)	0.3977271744841911
mbl	extractionPatterns(actor, favorite actors are _ 0.5423726324643244)	0.5423726324643244
mbl	extractionPatterns(actor, favorite actors is _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(actor, film adaptation starring _ 0.5384616506802858)	0.5384616506802858
mbl	extractionPatterns(actor, films , starring _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(actor, film version , starring _ 0.5294116412047185)	0.5294116412047185
mbl	extractionPatterns(actor, Fire , starring _ 0.5555553693900973)	0.5555553693900973
mbl	extractionPatterns(actor, Glory starring _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(actor, Hamlet starring _ 0.5384616506802858)	0.5384616506802858
mbl	extractionPatterns(actor, hit movie starring _ 0.5384616506802858)	0.5384616506802858
mbl	extractionPatterns(actor, hit starring _ 0.5294116412047185)	0.5294116412047185
mbl	extractionPatterns(actor, Hollywood film starring _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(actor, Hollywood movie starring _ 0.5238096101988442)	0.5238096101988442
mbl	extractionPatterns(actor, Hollywood stars such as _ 0.40540528846299567)	0.40540528846299567
mbl	extractionPatterns(actor, lawyer played by _ 0.5238096101988442)	0.5238096101988442
mbl	extractionPatterns(actor, major motion picture starring _ 0.39622660363028406)	0.39622660363028406
mbl	extractionPatterns(actor, Man starring _ 0.5384616506802858)	0.5384616506802858
mbl	extractionPatterns(actor, Men starring _ 0.11764707805838637)	0.11764707805838637
mbl	extractionPatterns(actor, movie version , starring _ 0.5833330420941402)	0.5833330420941402
mbl	extractionPatterns(actor, name starring _ 0.45882335063610696)	0.45882335063610696
mbl	extractionPatterns(actor, Neville , played by _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(actor, new movie starring _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(actor, Oz , starring _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(actor, Pictures starring _ 0.5238096101988442)	0.5238096101988442
mbl	extractionPatterns(actor, picture , starring _ 0.5714284502488258)	0.5714284502488258
mbl	extractionPatterns(actor, remake starring _ 0.14705876649737298)	0.14705876649737298
mbl	extractionPatterns(actor, Rock , starring _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(actor, Rock starring _ 0.5384616506802858)	0.5384616506802858
mbl	extractionPatterns(actor, stars opposite _ 0.4324325147694968)	0.4324325147694968
mbl	extractionPatterns(actor, successful film starring _ 0.5625000815082595)	0.5625000815082595
mbl	extractionPatterns(actor, voice cast includes _ 0.5555553693900973)	0.5555553693900973
mbl	extractionPatterns(actor, Wilson , played by _ 0.20588243026254208)	0.20588243026254208
mbl	extractionPatterns(actor, Woman , starring _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(actor, World , starring _ 0.5384616506802858)	0.5384616506802858
mbl	extractionPatterns(animal, _ are carnivores 0.227040923048981)	0.227040923048981
mbl	extractionPatterns(animal, _ are herd animals 0.21478881272276706)	0.21478881272276706
mbl	extractionPatterns(animal, _ are mammals 0.25710595571599737)	0.25710595571599737
mbl	extractionPatterns(animal, _ are ruminants 0.32000009062028956)	0.32000009062028956
mbl	extractionPatterns(animal, _ are social animals 0.20391052179727967)	0.20391052179727967
mbl	extractionPatterns(animal, _ are the only animals 0.2634920716679681)	0.2634920716679681
mbl	extractionPatterns(animal, breed of domestic _ 0.6296293286340691)	0.6296293286340691
mbl	extractionPatterns(animal, breeds of _ 0.42305292058298016)	0.42305292058298016
mbl	extractionPatterns(animal, breeds of domestic _ 0.45689667853773197)	0.45689667853773197
mbl	extractionPatterns(animal, burrows of other _ 0.38053086044079076)	0.38053086044079076
mbl	extractionPatterns(animal, contact with infected _ 0.37055848220326715)	0.37055848220326715
mbl	extractionPatterns(animal, eagles , blue _ 0.3815787605092017)	0.3815787605092017
mbl	extractionPatterns(animal, favorite animals are _ 0.4148936735050458)	0.4148936735050458
mbl	extractionPatterns(animal, FIV positive _ 0.33823545959827594)	0.33823545959827594
mbl	extractionPatterns(animal, grounds for migratory _ 0.5106381811210923)	0.5106381811210923
mbl	extractionPatterns(animal, _ headed god 0.4050632707513099)	0.4050632707513099
mbl	extractionPatterns(animal, home with other _ 0.4295775478810286)	0.4295775478810286
mbl	extractionPatterns(animal, hunting of migratory _ 0.3970587596711521)	0.3970587596711521
mbl	extractionPatterns(animal, _ immunized with 0.4362141441079238)	0.4362141441079238
mbl	extractionPatterns(animal, important food source for many _ 0.3676470148190857)	0.3676470148190857
mbl	extractionPatterns(animal, importation of live _ 0.44736833858929403)	0.44736833858929403
mbl	extractionPatterns(animal, import of live _ 0.46808517582422515)	0.46808517582422515
mbl	extractionPatterns(animal, imports of live _ 0.39240492515746905)	0.39240492515746905
mbl	extractionPatterns(animal, mammals such as _ 0.22759307576906856)	0.22759307576906856
mbl	extractionPatterns(animal, many animals including _ 0.37179487056910787)	0.37179487056910787
mbl	extractionPatterns(animal, many different species of _ 0.24466581988554092)	0.24466581988554092
mbl	extractionPatterns(animal, many other species of _ 0.3505618941281159)	0.3505618941281159
mbl	extractionPatterns(animal, many species of _ 0.25330347579999013)	0.25330347579999013
mbl	extractionPatterns(animal, more species of _ 0.21647829296660537)	0.21647829296660537
mbl	extractionPatterns(animal, numbers of migrating _ 0.42708338661776024)	0.42708338661776024
mbl	extractionPatterns(animal, numerous species of _ 0.2413408570811168)	0.2413408570811168
mbl	extractionPatterns(animal, other animals including _ 0.31858403264800494)	0.31858403264800494
mbl	extractionPatterns(animal, pets like _ 0.20471019151235545)	0.20471019151235545
mbl	extractionPatterns(animal, pets such as _ 0.35144923572368125)	0.35144923572368125
mbl	extractionPatterns(animal, predators such as _ 0.22062562906776262)	0.22062562906776262
mbl	extractionPatterns(animal, predators , such as _ 0.2430167276366282)	0.2430167276366282
mbl	extractionPatterns(animal, prides of _ 0.544871659067541)	0.544871659067541
mbl	extractionPatterns(animal, reptiles , including _ 0.3149605141243221)	0.3149605141243221
mbl	extractionPatterns(animal, reptiles such as _ 0.3941605363521775)	0.3941605363521775
mbl	extractionPatterns(animal, saber toothed _ 0.3417721472720594)	0.3417721472720594
mbl	extractionPatterns(animal, species of domestic _ 0.35443050106547513)	0.35443050106547513
mbl	extractionPatterns(animal, species of exotic _ 0.33846147636648366)	0.33846147636648366
mbl	extractionPatterns(animal, species of migratory _ 0.7388886839717214)	0.7388886839717214
mbl	extractionPatterns(animal, species of wild _ 0.3447685350541724)	0.3447685350541724
mbl	extractionPatterns(animal, Texas horned _ 0.9218746676216723)	0.9218746676216723
mbl	extractionPatterns(animal, thousands of migrating _ 0.43749981326824455)	0.43749981326824455
mbl	extractionPatterns(animal, thousands of migratory _ 0.8092486940138065)	0.8092486940138065
mbl	extractionPatterns(animal, valuable habitat for _ 0.33846147636648366)	0.33846147636648366
mbl	extractionPatterns(animal, variety of migratory _ 0.7029700438198082)	0.7029700438198082
mbl	extractionPatterns(animal, wonderful breed of _ 0.3402063274455738)	0.3402063274455738
mbl	extractionPatterns(athlete, all-time are _ 0.2666666239952886)	0.2666666239952886
mbl	extractionPatterns(athlete, Astros traded for _ 0.2666666239952886)	0.2666666239952886
mbl	extractionPatterns(athlete, baseball great _ 0.2814371850491963)	0.2814371850491963
mbl	extractionPatterns(athlete, baseball greats like _ 0.2666666239952886)	0.2666666239952886
mbl	extractionPatterns(athlete, baseball immortal _ 0.4666666909552191)	0.4666666909552191
mbl	extractionPatterns(athlete, basketball autographed by _ 0.2666666239952886)	0.2666666239952886
mbl	extractionPatterns(athlete, basketball great _ 0.23437497240409422)	0.23437497240409422
mbl	extractionPatterns(athlete, basketball player like _ 0.31249994056428093)	0.31249994056428093
mbl	extractionPatterns(athlete, blockbuster trade for _ 0.2666666239952886)	0.2666666239952886
mbl	extractionPatterns(athlete, boxing great _ 0.2692308739524504)	0.2692308739524504
mbl	extractionPatterns(athlete, _ broke the color barrier 0.32857143715378323)	0.32857143715378323
mbl	extractionPatterns(athlete, Cardinals slugger _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(athlete, defensively challenged _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(athlete, _ designed championship golf courses 0.2666666239952886)	0.2666666239952886
mbl	extractionPatterns(athlete, favorite player is _ 0.23140496687440543)	0.23140496687440543
mbl	extractionPatterns(athlete, Federer beat _ 0.30434784643986396)	0.30434784643986396
mbl	extractionPatterns(athlete, golf designed by _ 0.24137923332822347)	0.24137923332822347
mbl	extractionPatterns(athlete, golfers such as _ 0.21874994613159704)	0.21874994613159704
mbl	extractionPatterns(athlete, _ has knee surgery 0.18181819858880538)	0.18181819858880538
mbl	extractionPatterns(athlete, Helmet hand signed by _ 0.2666666239952886)	0.2666666239952886
mbl	extractionPatterns(athlete, _ hit homerun number 0.2666666239952886)	0.2666666239952886
mbl	extractionPatterns(athlete, _ hits the game winner 0.4666666909552191)	0.4666666909552191
mbl	extractionPatterns(athlete, Jays released _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(athlete, _ led the Spurs 0.3870966018182884)	0.3870966018182884
mbl	extractionPatterns(athlete, Manning connected with _ 0.5333331516919638)	0.5333331516919638
mbl	extractionPatterns(athlete, NBA player is _ 0.12121214549655876)	0.12121214549655876
mbl	extractionPatterns(athlete, NBA players such as _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(athlete, NBA star _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(athlete, Notable Alumni include _ 0.2666666239952886)	0.2666666239952886
mbl	extractionPatterns(athlete, _ pitches a perfect game 0.2666666239952886)	0.2666666239952886
mbl	extractionPatterns(athletePlaysForTeam, arg1 and the New York arg2 0.006424670073161727)	0.006424670073161727
mbl	extractionPatterns(athletePlaysForTeam, arg1 and the Pittsburgh arg2 0.009121062312915776)	0.009121062312915776
mbl	extractionPatterns(athletePlaysForTeam, arg1 drove arg2 3.739015614026333E-4)	3.739015614026333E-4
mbl	extractionPatterns(athletePlaysForTeam, arg1 from the Boston arg2 0.0017261220089020044)	0.0017261220089020044
mbl	extractionPatterns(athletePlaysForTeam, arg1 had DD points for the arg2 0.002487562409500063)	0.002487562409500063
mbl	extractionPatterns(athletePlaysForTeam, arg1 of the Boston arg2 0.001910219733162544)	0.001910219733162544
mbl	extractionPatterns(athletePlaysForTeam, arg1 of the New York arg2 2.4607160183820085E-4)	2.4607160183820085E-4
mbl	extractionPatterns(athletePlaysForTeam, arg1 of the Pittsburgh arg2 0.003710576587566336)	0.003710576587566336
mbl	extractionPatterns(athletePlaysForTeam, arg1 scored DD points apiece for arg2 0.004545452483420294)	0.004545452483420294
mbl	extractionPatterns(athletePlaysForTeam, arg1 scored DD points for arg2 0.0025284444682875627)	0.0025284444682875627
mbl	extractionPatterns(athletePlaysForTeam, arg1 started for arg2 8.884937008856904E-4)	8.884937008856904E-4
mbl	extractionPatterns(athletePlaysForTeam, arg1 that gave arg2 1.1741909672995553E-4)	1.1741909672995553E-4
mbl	extractionPatterns(athletePlaysForTeam, arg1 to give the arg2 4.988525948243119E-5)	4.988525948243119E-5
mbl	extractionPatterns(athletePlaysForTeam, arg1 to lead arg2 1.2899344098148819E-4)	1.2899344098148819E-4
mbl	extractionPatterns(athletePlaysForTeam, arg1 to the New York arg2 3.81315668358631E-4)	3.81315668358631E-4
mbl	extractionPatterns(athletePlaysForTeam, arg1 was traded to arg2 8.884937008856904E-4)	8.884937008856904E-4
mbl	extractionPatterns(athletePlaysForTeam, arg2 added arg1 5.44208067612112E-5)	5.44208067612112E-5
mbl	extractionPatterns(athletePlaysForTeam, arg2 and quarterback arg1 0.002487562409500063)	0.002487562409500063
mbl	extractionPatterns(athletePlaysForTeam, arg2 are led by arg1 5.150657477062752E-4)	5.150657477062752E-4
mbl	extractionPatterns(athletePlaysForTeam, arg2 are without arg1 3.5505068643167125E-4)	3.5505068643167125E-4
mbl	extractionPatterns(athletePlaysForTeam, arg2 captain arg1 9.070291222866924E-4)	9.070291222866924E-4
mbl	extractionPatterns(athletePlaysForTeam, arg2 center arg1 1.1015038384212759E-4)	1.1015038384212759E-4
mbl	extractionPatterns(athletePlaysForTeam, arg2 forward arg1 4.8412762402723683E-4)	4.8412762402723683E-4
mbl	extractionPatterns(athletePlaysForTeam, arg2 guard arg1 7.306383163011325E-4)	7.306383163011325E-4
mbl	extractionPatterns(athletePlaysForTeam, arg2 not named arg1 0.001896333488608405)	0.001896333488608405
mbl	extractionPatterns(athletePlaysForTeam, arg2 played without arg1 0.013636367150240247)	0.013636367150240247
mbl	extractionPatterns(athletePlaysForTeam, arg2 point guard arg1 0.005804313099189803)	0.005804313099189803
mbl	extractionPatterns(athletePlaysForTeam, arg2 quarterback arg1 0.014331949544847924)	0.014331949544847924
mbl	extractionPatterns(athletePlaysForTeam, arg2 receiver arg1 0.0034024109354157226)	0.0034024109354157226
mbl	extractionPatterns(athletePlaysForTeam, arg2 rode arg1 6.289310032794468E-4)	6.289310032794468E-4
mbl	extractionPatterns(athletePlaysForTeam, arg2 rookie arg1 8.884937008856904E-4)	8.884937008856904E-4
mbl	extractionPatterns(athletePlaysForTeam, arg2 running back arg1 0.004048584358817949)	0.004048584358817949
mbl	extractionPatterns(athletePlaysForTeam, arg2 slugger arg1 0.0010301313094120805)	0.0010301313094120805
mbl	extractionPatterns(athletePlaysForTeam, arg2 starting quarterback arg1 1.718901410571532E-4)	1.718901410571532E-4
mbl	extractionPatterns(athletePlaysForTeam, arg2 teammate arg1 0.004239855883739557)	0.004239855883739557
mbl	extractionPatterns(athletePlaysForTeam, arg2 traded for arg1 3.81315668358631E-4)	3.81315668358631E-4
mbl	extractionPatterns(athletePlaysForTeam, arg2 were without arg1 0.0011820335219932482)	0.0011820335219932482
mbl	extractionPatterns(athletePlaysForTeam, arg2 wideout arg1 0.029850759368093047)	0.029850759368093047
mbl	extractionPatterns(athletePlaysForTeam, arg2 wide receiver arg1 0.014070357493073211)	0.014070357493073211
mbl	extractionPatterns(athletePlaysForTeam, arg2 will win because of arg1 6.747637016572541E-4)	6.747637016572541E-4
mbl	extractionPatterns(athletePlaysForTeam, arg2 won despite arg1 0.02352941355130292)	0.02352941355130292
mbl	extractionPatterns(athletePlaysSport, arg1 announces his retirement from arg2 0.0032258074112233434)	0.0032258074112233434
mbl	extractionPatterns(athletePlaysSport, arg1 autographed arg2 0.0076161445644232625)	0.0076161445644232625
mbl	extractionPatterns(athletePlaysSport, arg1 learned to play arg2 0.004338394197122398)	0.004338394197122398
mbl	extractionPatterns(athletePlaysSport, arg1 retired from arg2 0.0015633145502964227)	0.0015633145502964227
mbl	extractionPatterns(athletePlaysSport, arg1 retired from professional arg2 0.004338394197122398)	0.004338394197122398
mbl	extractionPatterns(athletePlaysSport, arg1 was born to play arg2 6.007810495734944E-4)	6.007810495734944E-4
mbl	extractionPatterns(athletePlaysSport, arg2 ace arg1 8.232389987432035E-4)	8.232389987432035E-4
mbl	extractionPatterns(athletePlaysSport, arg2 autographed by arg1 0.010248898936469443)	0.010248898936469443
mbl	extractionPatterns(athletePlaysSport, arg2 career of arg1 0.005008348795228984)	0.005008348795228984
mbl	extractionPatterns(athletePlaysSport, arg2 champ arg1 0.00839223001014931)	0.00839223001014931
mbl	extractionPatterns(athletePlaysSport, arg2 god arg1 4.5544253832059364E-4)	4.5544253832059364E-4
mbl	extractionPatterns(athletePlaysSport, arg2 great arg1 3.5419675292730826E-4)	3.5419675292730826E-4
mbl	extractionPatterns(athletePlaysSport, arg2 greats arg1 0.0029112084764553433)	0.0029112084764553433
mbl	extractionPatterns(athletePlaysSport, arg2 greats as arg1 0.004338394197122398)	0.004338394197122398
mbl	extractionPatterns(athletePlaysSport, arg2 greats like arg1 0.00478469020078872)	0.00478469020078872
mbl	extractionPatterns(athletePlaysSport, arg2 greats such as arg1 0.006956519510800078)	0.006956519510800078
mbl	extractionPatterns(athletePlaysSport, arg2 hero arg1 0.0015381990422267179)	0.0015381990422267179
mbl	extractionPatterns(athletePlaysSport, arg2 heroes was arg1 0.0034782603834344877)	0.0034782603834344877
mbl	extractionPatterns(athletePlaysSport, arg2 hottie arg1 0.01115241737100818)	0.01115241737100818
mbl	extractionPatterns(athletePlaysSport, arg2 icon arg1 0.0014162878789937862)	0.0014162878789937862
mbl	extractionPatterns(athletePlaysSport, arg2 immortal arg1 0.008373209627041234)	0.008373209627041234
mbl	extractionPatterns(athletePlaysSport, arg2 legend arg1 3.361627971544844E-4)	3.361627971544844E-4
mbl	extractionPatterns(athletePlaysSport, arg2 legends arg1 0.0076962583253371575)	0.0076962583253371575
mbl	extractionPatterns(athletePlaysSport, arg2 legends as arg1 0.005217390011109242)	0.005217390011109242
mbl	extractionPatterns(athletePlaysSport, arg2 legends including arg1 0.0018639320821451058)	0.0018639320821451058
mbl	extractionPatterns(athletePlaysSport, arg2 legends like arg1 0.008064512625847835)	0.008064512625847835
mbl	extractionPatterns(athletePlaysSport, arg2 lesson from arg1 0.003407153796484552)	0.003407153796484552
mbl	extractionPatterns(athletePlaysSport, arg2 lessons with arg1 0.0022304832788873526)	0.0022304832788873526
mbl	extractionPatterns(athletePlaysSport, arg2 phenom arg1 0.015332201332925306)	0.015332201332925306
mbl	extractionPatterns(athletePlaysSport, arg2 player arg1 6.982914445592188E-4)	6.982914445592188E-4
mbl	extractionPatterns(athletePlaysSport, arg2 player husband arg1 0.0074349457177837475)	0.0074349457177837475
mbl	extractionPatterns(athletePlaysSport, arg2 player is arg1 0.005279034805304273)	0.005279034805304273
mbl	extractionPatterns(athletePlaysSport, arg2 player like arg1 0.005110730142215146)	0.005110730142215146
mbl	extractionPatterns(athletePlaysSport, arg2 players are arg1 0.002795900616857479)	0.002795900616857479
mbl	extractionPatterns(athletePlaysSport, arg2 players arg1 0.0010579216532886967)	0.0010579216532886967
mbl	extractionPatterns(athletePlaysSport, arg2 players is arg1 0.0018639320821451058)	0.0018639320821451058
mbl	extractionPatterns(athletePlaysSport, arg2 players like arg1 0.004878048678723944)	0.004878048678723944
mbl	extractionPatterns(athletePlaysSport, arg2 players such as arg1 0.0027272731912319085)	0.0027272731912319085
mbl	extractionPatterns(athletePlaysSport, arg2 player than arg1 0.0018639320821451058)	0.0018639320821451058
mbl	extractionPatterns(athletePlaysSport, arg2 pro arg1 8.198821069945663E-4)	8.198821069945663E-4
mbl	extractionPatterns(athletePlaysSport, arg2 prodigy arg1 0.003164557637933339)	0.003164557637933339
mbl	extractionPatterns(athletePlaysSport, arg2 sensation arg1 0.002719854208301258)	0.002719854208301258
mbl	extractionPatterns(athletePlaysSport, arg2 star arg1 0.004960766568927277)	0.004960766568927277
mbl	extractionPatterns(athletePlaysSport, arg2 star husband arg1 0.01115241737100818)	0.01115241737100818
mbl	extractionPatterns(athletePlaysSport, arg2 stars such as arg1 0.004279598851782714)	0.004279598851782714
mbl	extractionPatterns(athletePlaysSport, arg2 superstar arg1 0.01877470112938596)	0.01877470112938596
mbl	extractionPatterns(athlete, QBs like _ 0.2666666239952886)	0.2666666239952886
mbl	extractionPatterns(athlete, quarterback named _ 0.15384618106178571)	0.15384618106178571
mbl	extractionPatterns(athlete, _ signed jersey 0.23809512506891317)	0.23809512506891317
mbl	extractionPatterns(athlete, sluggers like _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(athlete, soccer great _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(athlete, sports figures like _ 0.23529411363207658)	0.23529411363207658
mbl	extractionPatterns(athlete, sports stars like _ 0.2666666239952886)	0.2666666239952886
mbl	extractionPatterns(athlete, sports stars such as _ 0.42857136873737717)	0.42857136873737717
mbl	extractionPatterns(athlete, star players like _ 0.294117774006532)	0.294117774006532
mbl	extractionPatterns(athlete, star players such as _ 0.2777777348505767)	0.2777777348505767
mbl	extractionPatterns(athlete, superstars , including _ 0.22222231039474505)	0.22222231039474505
mbl	extractionPatterns(athlete, superstar such as _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(athlete, tennis great _ 0.3703702863001145)	0.3703702863001145
mbl	extractionPatterns(athlete, tennis players , including _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(athlete, tennis players , such as _ 0.2666666239952886)	0.2666666239952886
mbl	extractionPatterns(athlete, tennis racket in _ 0.12499994270999265)	0.12499994270999265
mbl	extractionPatterns(athlete, Tennis star _ 0.2666666239952886)	0.2666666239952886
mbl	extractionPatterns(athlete, top players , including _ 0.17142850153053285)	0.17142850153053285
mbl	extractionPatterns(athlete, top players including _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(athlete, voting behind _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(awardTrophyTournament, Anaheim won _ 0.29999994129778657)	0.29999994129778657
mbl	extractionPatterns(awardTrophyTournament, Bobby Jones won _ 0.16666674487136082)	0.16666674487136082
mbl	extractionPatterns(awardTrophyTournament, center court at _ 0.24000008535365014)	0.24000008535365014
mbl	extractionPatterns(awardTrophyTournament, commercial aired during _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(awardTrophyTournament, commercials during _ 0.11974114393974995)	0.11974114393974995
mbl	extractionPatterns(awardTrophyTournament, DD-stroke victory in _ 0.16666674487136082)	0.16666674487136082
mbl	extractionPatterns(awardTrophyTournament, DD-team field for _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(awardTrophyTournament, Detroit won _ 0.18750008129470605)	0.18750008129470605
mbl	extractionPatterns(awardTrophyTournament, doubles title at _ 0.17073169325714596)	0.17073169325714596
mbl	extractionPatterns(awardTrophyTournament, doubles titles at _ 0.2777777348505767)	0.2777777348505767
mbl	extractionPatterns(awardTrophyTournament, first-round exit at _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(awardTrophyTournament, first round exit at _ 0.2666666239952886)	0.2666666239952886
mbl	extractionPatterns(awardTrophyTournament, first running of _ 0.18987335152497575)	0.18987335152497575
mbl	extractionPatterns(awardTrophyTournament, first tournament since _ 0.17777776854941962)	0.17777776854941962
mbl	extractionPatterns(awardTrophyTournament, fourth round at _ 0.39655164269306353)	0.39655164269306353
mbl	extractionPatterns(awardTrophyTournament, Goosen won _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(awardTrophyTournament, Grand Slam singles final at _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(awardTrophyTournament, Grand Slam title at _ 0.14705876649737298)	0.14705876649737298
mbl	extractionPatterns(awardTrophyTournament, high school national _ 0.21428572306010352)	0.21428572306010352
mbl	extractionPatterns(awardTrophyTournament, _ hit double figures 0.22388069066168137)	0.22388069066168137
mbl	extractionPatterns(awardTrophyTournament, home game during _ 0.14705876649737298)	0.14705876649737298
mbl	extractionPatterns(awardTrophyTournament, IMCA modified _ 0.2666666239952886)	0.2666666239952886
mbl	extractionPatterns(awardTrophyTournament, Indianapolis Colts won _ 0.611111407559835)	0.611111407559835
mbl	extractionPatterns(awardTrophyTournament, international creative problem solving _ 0.37500009487940933)	0.37500009487940933
mbl	extractionPatterns(awardTrophyTournament, _ is double elimination 0.43749981326824455)	0.43749981326824455
mbl	extractionPatterns(awardTrophyTournament, _ is single-elimination 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(awardTrophyTournament, last won _ 0.1190475840296799)	0.1190475840296799
mbl	extractionPatterns(awardTrophyTournament, major events , like _ 0.18181819858880538)	0.18181819858880538
mbl	extractionPatterns(awardTrophyTournament, major sporting events like _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(awardTrophyTournament, major sporting events , such as _ 0.19047620506734006)	0.19047620506734006
mbl	extractionPatterns(awardTrophyTournament, major sporting events such as _ 0.30434784643986396)	0.30434784643986396
mbl	extractionPatterns(awardTrophyTournament, nations competing in _ 0.19047620506734006)	0.19047620506734006
mbl	extractionPatterns(awardTrophyTournament, NCAA singles _ 0.30434784643986396)	0.30434784643986396
mbl	extractionPatterns(awardTrophyTournament, Ogilvy won _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(awardTrophyTournament, Pete Sampras won _ 0.294117774006532)	0.294117774006532
mbl	extractionPatterns(awardTrophyTournament, place heading into _ 0.22222231039474505)	0.22222231039474505
mbl	extractionPatterns(awardTrophyTournament, qualifying matches for _ 0.18181819858880538)	0.18181819858880538
mbl	extractionPatterns(awardTrophyTournament, run towards _ 0.1606217591555022)	0.1606217591555022
mbl	extractionPatterns(awardTrophyTournament, Serena Williams wins _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(awardTrophyTournament, seventh game of _ 0.2582781949452089)	0.2582781949452089
mbl	extractionPatterns(awardTrophyTournament, _ singles crown 0.2857142767129624)	0.2857142767129624
mbl	extractionPatterns(awardTrophyTournament, Singles title at _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(awardTrophyTournament, singles title at _ 0.3703702863001145)	0.3703702863001145
mbl	extractionPatterns(awardTrophyTournament, singles titles at _ 0.449999863298018)	0.449999863298018
mbl	extractionPatterns(awardTrophyTournament, Tampa Bay won _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(awardTrophyTournament, USCF rated _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(awardTrophyTournament, _ was double elimination 0.23529411363207658)	0.23529411363207658
mbl	extractionPatterns(awardTrophyTournament, _ winning coach 0.12173910593454053)	0.12173910593454053
mbl	extractionPatterns(awardTrophyTournament, Woods going into _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(awardTrophyTournament, world under-DD _ 0.2727272683991621)	0.2727272683991621
mbl	extractionPatterns(boardGame, age-old game of _ 0.16666674487136082)	0.16666674487136082
mbl	extractionPatterns(boardGame, board game known as _ 0.3636363315194487)	0.3636363315194487
mbl	extractionPatterns(boardGame, board game like _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(boardGame, board game named _ 0.3636363315194487)	0.3636363315194487
mbl	extractionPatterns(boardGame, board game , see _ 0.19148936636945865)	0.19148936636945865
mbl	extractionPatterns(boardGame, board games including _ 0.29629639239245803)	0.29629639239245803
mbl	extractionPatterns(boardGame, Board games like _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(boardGame, board games , like _ 0.42857136873737717)	0.42857136873737717
mbl	extractionPatterns(boardGame, boardgames like _ 0.5454544383110917)	0.5454544383110917
mbl	extractionPatterns(boardGame, Board games such as _ 0.42857136873737717)	0.42857136873737717
mbl	extractionPatterns(boardGame, board game such as _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(boardGame, board-game version of _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(boardGame, butt kicked at _ 0.21428572306010352)	0.21428572306010352
mbl	extractionPatterns(boardGame, competitive games , such as _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(boardGame, complex game of _ 0.2950819985735859)	0.2950819985735859
mbl	extractionPatterns(boardGame, complex games like _ 0.4545456183474251)	0.4545456183474251
mbl	extractionPatterns(boardGame, complex games such as _ 0.2727272683991621)	0.2727272683991621
mbl	extractionPatterns(boardGame, cut-throat game of _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(boardGame, cutthroat game of _ 0.5333331516919638)	0.5333331516919638
mbl	extractionPatterns(boardGame, cutthroat games of _ 0.2727272683991621)	0.2727272683991621
mbl	extractionPatterns(boardGame, Facebook version of _ 0.23076924664463755)	0.23076924664463755
mbl	extractionPatterns(boardGame, face-to-face game of _ 0.2727272683991621)	0.2727272683991621
mbl	extractionPatterns(boardGame, family had been playing _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(boardGame, fashion game of _ 0.18181819858880538)	0.18181819858880538
mbl	extractionPatterns(boardGame, favorite board game is _ 0.43999980291076946)	0.43999980291076946
mbl	extractionPatterns(boardGame, favourite games is _ 0.2727272683991621)	0.2727272683991621
mbl	extractionPatterns(boardGame, game of giant _ 0.3999998927496764)	0.3999998927496764
mbl	extractionPatterns(boardGame, game show , see _ 0.18181819858880538)	0.18181819858880538
mbl	extractionPatterns(boardGame, horizon effect in _ 0.15384618106178571)	0.15384618106178571
mbl	extractionPatterns(boardGame, impassioned game of _ 0.15384618106178571)	0.15384618106178571
mbl	extractionPatterns(boardGame, _ is a classic game 0.7392242155941596)	0.7392242155941596
mbl	extractionPatterns(boardGame, Japanese game of _ 0.4666666909552191)	0.4666666909552191
mbl	extractionPatterns(boardGame, life-size game of _ 0.2727272683991621)	0.2727272683991621
mbl	extractionPatterns(boardGame, live game of _ 0.30769230656666036)	0.30769230656666036
mbl	extractionPatterns(boardGame, math version of _ 0.2727272683991621)	0.2727272683991621
mbl	extractionPatterns(boardGame, mind games like _ 0.21428572306010352)	0.21428572306010352
mbl	extractionPatterns(boardGame, old men play _ 0.449999863298018)	0.449999863298018
mbl	extractionPatterns(boardGame, old men playing _ 0.31914906402380705)	0.31914906402380705
mbl	extractionPatterns(boardGame, other classic games like _ 0.2727272683991621)	0.2727272683991621
mbl	extractionPatterns(boardGame, _ playing program 0.2675159736097338)	0.2675159736097338
mbl	extractionPatterns(boardGame, royal game of _ 0.4545456183474251)	0.4545456183474251
mbl	extractionPatterns(boardGame, simple games such as _ 0.19047620506734006)	0.19047620506734006
mbl	extractionPatterns(boardGame, solitaire version of _ 0.32000009062028956)	0.32000009062028956
mbl	extractionPatterns(boardGame, stimulating game of _ 0.3846155557798213)	0.3846155557798213
mbl	extractionPatterns(boardGame, strategy game like _ 0.16666674487136082)	0.16666674487136082
mbl	extractionPatterns(boardGame, strategy games like _ 0.22499997227498802)	0.22499997227498802
mbl	extractionPatterns(boardGame, strategy games such as _ 0.30769230656666036)	0.30769230656666036
mbl	extractionPatterns(boardGame, The classic game of _ 0.3636363315194487)	0.3636363315194487
mbl	extractionPatterns(boardGame, time reading , playing _ 0.30769230656666036)	0.30769230656666036
mbl	extractionPatterns(boardGame, traditional games such as _ 0.1800000770565633)	0.1800000770565633
mbl	extractionPatterns(bodyPart, abdomen , upper _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(bodyPart, _ amputated above 0.5581396941464135)	0.5581396941464135
mbl	extractionPatterns(bodyPart, _ are bent at 0.25619843449967966)	0.25619843449967966
mbl	extractionPatterns(bodyPart, _ are bleeding from 0.2656249307524895)	0.2656249307524895
mbl	extractionPatterns(bodyPart, arm , left _ 0.32142854984110286)	0.32142854984110286
mbl	extractionPatterns(bodyPart, _ bulged as 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(bodyPart, _ bulged in 0.2976190398735456)	0.2976190398735456
mbl	extractionPatterns(bodyPart, _ clenched on 0.4687498601707317)	0.4687498601707317
mbl	extractionPatterns(bodyPart, _ crossed on 0.21695398470035365)	0.21695398470035365
mbl	extractionPatterns(bodyPart, _ dealing position 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(bodyPart, _ do the walking 0.5167655442909572)	0.5167655442909572
mbl	extractionPatterns(bodyPart, _ drive version 0.35294113229229485)	0.35294113229229485
mbl	extractionPatterns(bodyPart, extra set of _ 0.26985162717813926)	0.26985162717813926
mbl	extractionPatterns(bodyPart, eyes , small _ 0.25742573712192296)	0.25742573712192296
mbl	extractionPatterns(bodyPart, first finger of _ 0.21978027098085412)	0.21978027098085412
mbl	extractionPatterns(bodyPart, _ fixed on 0.32174885216082105)	0.32174885216082105
mbl	extractionPatterns(bodyPart, _ fixed upon 0.33199479098266)	0.33199479098266
mbl	extractionPatterns(bodyPart, fourth finger of _ 0.27722772462029266)	0.27722772462029266
mbl	extractionPatterns(bodyPart, fresh set of _ 0.25359468876349356)	0.25359468876349356
mbl	extractionPatterns(bodyPart, guy with big _ 0.22784812281361394)	0.22784812281361394
mbl	extractionPatterns(bodyPart, hair , dark _ 0.49479190437811893)	0.49479190437811893
mbl	extractionPatterns(bodyPart, _ is crossed behind 0.520000243051522)	0.520000243051522
mbl	extractionPatterns(bodyPart, life with open _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(bodyPart, _ locked on 0.2975502978153482)	0.2975502978153482
mbl	extractionPatterns(bodyPart, minds , open _ 0.2727272683991621)	0.2727272683991621
mbl	extractionPatterns(bodyPart, _ narrowed as 0.6831170894933692)	0.6831170894933692
mbl	extractionPatterns(bodyPart, _ narrowed in 0.4613178473126304)	0.4613178473126304
mbl	extractionPatterns(bodyPart, necklace of human _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(bodyPart, _ outstretched in 0.2416108270444228)	0.2416108270444228
mbl	extractionPatterns(bodyPart, _ peeled for 0.86193363572528)	0.86193363572528
mbl	extractionPatterns(bodyPart, people with big _ 0.2492399978331363)	0.2492399978331363
mbl	extractionPatterns(bodyPart, _ raised as if 0.23437497240409422)	0.23437497240409422
mbl	extractionPatterns(bodyPart, ring finger of _ 0.25694454386443394)	0.25694454386443394
mbl	extractionPatterns(bodyPart, ring is worn on _ 0.37362636686399364)	0.37362636686399364
mbl	extractionPatterns(bodyPart, _ shook as 0.2549295618553327)	0.2549295618553327
mbl	extractionPatterns(bodyPart, _ strikes the deck 1.0400002983206302)	1.0400002983206302
mbl	extractionPatterns(bodyPart, _ stung with 0.2542373498653065)	0.2542373498653065
mbl	extractionPatterns(bodyPart, third finger of _ 0.3974357472864105)	0.3974357472864105
mbl	extractionPatterns(bodyPart, _ tied behind 0.4702080606494653)	0.4702080606494653
mbl	extractionPatterns(bodyPart, _ tightened on 0.30676325047240255)	0.30676325047240255
mbl	extractionPatterns(bodyPart, tongue in _ 0.37411726048482435)	0.37411726048482435
mbl	extractionPatterns(bodyPart, _ was amputated at 0.47368440086698504)	0.47368440086698504
mbl	extractionPatterns(bodyPart, _ was amputated below 0.7142858833008864)	0.7142858833008864
mbl	extractionPatterns(bodyPart, _ was numb 0.45161284671543667)	0.45161284671543667
mbl	extractionPatterns(bodyPart, _ went numb 0.21962625899840318)	0.21962625899840318
mbl	extractionPatterns(bodyPart, _ were burning with 0.2857142767129624)	0.2857142767129624
mbl	extractionPatterns(bodyPart, _ were hurting from 0.22580646412931743)	0.22580646412931743
mbl	extractionPatterns(bodyPart, _ were popping out of 0.23437497240409422)	0.23437497240409422
mbl	extractionPatterns(bodyPart, _ were turned toward 0.2777777348505767)	0.2777777348505767
mbl	extractionPatterns(bodyPart, world with open _ 0.34523808448629006)	0.34523808448629006
mbl	extractionPatterns(building, artificial turf at _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(building, baseball game at _ 0.14423072567873194)	0.14423072567873194
mbl	extractionPatterns(building, baseball games at _ 0.3838382650051877)	0.3838382650051877
mbl	extractionPatterns(building, basketball games at _ 0.28455292915371255)	0.28455292915371255
mbl	extractionPatterns(building, bleachers at _ 0.11032033597975066)	0.11032033597975066
mbl	extractionPatterns(building, center field at _ 0.2954546271349526)	0.2954546271349526
mbl	extractionPatterns(building, christmas lights on _ 0.24074066589511517)	0.24074066589511517
mbl	extractionPatterns(building, Cubs play at _ 0.357143006136159)	0.357143006136159
mbl	extractionPatterns(building, divisional playoff game at _ 0.357143006136159)	0.357143006136159
mbl	extractionPatterns(building, Division battle at _ 0.6428569836079735)	0.6428569836079735
mbl	extractionPatterns(building, fan experience at _ 0.2592591858756811)	0.2592591858756811
mbl	extractionPatterns(building, final home opener at _ 0.862068969929546)	0.862068969929546
mbl	extractionPatterns(building, first pitch at _ 0.10000000929940499)	0.10000000929940499
mbl	extractionPatterns(building, football team plays at _ 0.34615383254489884)	0.34615383254489884
mbl	extractionPatterns(building, Hannah Montana concert at _ 0.4117647861768502)	0.4117647861768502
mbl	extractionPatterns(building, _ has been the proud home 0.20754709525079196)	0.20754709525079196
mbl	extractionPatterns(building, hockey games at _ 0.24590155649290768)	0.24590155649290768
mbl	extractionPatterns(building, home arena at _ 0.2857142767129624)	0.2857142767129624
mbl	extractionPatterns(building, home debut at _ 0.357143006136159)	0.357143006136159
mbl	extractionPatterns(building, home games held at _ 0.8999995640921492)	0.8999995640921492
mbl	extractionPatterns(building, home game tickets are available for _ 0.5238096101988442)	0.5238096101988442
mbl	extractionPatterns(building, home plate at _ 0.22580646412931743)	0.22580646412931743
mbl	extractionPatterns(building, home run at _ 0.26470586839763205)	0.26470586839763205
mbl	extractionPatterns(building, Ice show live at _ 0.3207545788949429)	0.3207545788949429
mbl	extractionPatterns(building, inaugural season at _ 0.28260870668170146)	0.28260870668170146
mbl	extractionPatterns(building, _ is a baseball stadium 0.3636363315194487)	0.3636363315194487
mbl	extractionPatterns(building, Long tour at _ 0.3478259736519537)	0.3478259736519537
mbl	extractionPatterns(building, luxury box at _ 0.35294113229229485)	0.35294113229229485
mbl	extractionPatterns(building, morning skate at _ 0.357143006136159)	0.357143006136159
mbl	extractionPatterns(building, NASCAR racing at _ 0.31249994056428093)	0.31249994056428093
mbl	extractionPatterns(building, NCAA games at _ 0.2857142767129624)	0.2857142767129624
mbl	extractionPatterns(building, outdoor game at _ 0.38095234134994)	0.38095234134994
mbl	extractionPatterns(building, Predators at _ 0.35294113229229485)	0.35294113229229485
mbl	extractionPatterns(building, rain delay at _ 0.3500000435745399)	0.3500000435745399
mbl	extractionPatterns(building, Rolling Stones concert at _ 0.294117774006532)	0.294117774006532
mbl	extractionPatterns(building, Sabres at _ 0.2857142767129624)	0.2857142767129624
mbl	extractionPatterns(building, seating chart of _ 0.0917874225501448)	0.0917874225501448
mbl	extractionPatterns(building, sellout crowd at _ 0.09661831108323607)	0.09661831108323607
mbl	extractionPatterns(building, Series game at _ 0.38095234134994)	0.38095234134994
mbl	extractionPatterns(building, sold-out concert at _ 0.34374987281298963)	0.34374987281298963
mbl	extractionPatterns(building, south end zone of _ 0.31249994056428093)	0.31249994056428093
mbl	extractionPatterns(building, south lawn of _ 0.37500009487940933)	0.37500009487940933
mbl	extractionPatterns(building, stadiums such as _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(building, stadium was renamed _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(building, Stadium was renamed _ 0.34615383254489884)	0.34615383254489884
mbl	extractionPatterns(building, tunnel ventilated _ 0.2857142767129624)	0.2857142767129624
mbl	extractionPatterns(building, _ was the first stadium 0.4642857851884937)	0.4642857851884937
mbl	extractionPatterns(building, wood from old _ 0.226415154059809)	0.226415154059809
mbl	extractionPatterns(building, Yankees play at _ 0.2857142767129624)	0.2857142767129624
mbl	extractionPatterns(building, Yankees played at _ 0.4705881422947763)	0.4705881422947763
mbl	extractionPatterns(celebrity, American TV appearances by _ 0.29870136021123084)	0.29870136021123084
mbl	extractionPatterns(celebrity, biopic starring _ 0.5294116412047185)	0.5294116412047185
mbl	extractionPatterns(celebrity, blockbuster starring _ 0.5294116412047185)	0.5294116412047185
mbl	extractionPatterns(celebrity, book , starring _ 0.5238096101988442)	0.5238096101988442
mbl	extractionPatterns(celebrity, celebrities , like _ 0.2388059455883439)	0.2388059455883439
mbl	extractionPatterns(celebrity, celebrity fans including _ 0.5294116412047185)	0.5294116412047185
mbl	extractionPatterns(celebrity, celebrity posters of _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(celebrity, celebs like _ 0.06451613057581944)	0.06451613057581944
mbl	extractionPatterns(celebrity, celebs such as _ 0.20779214537432678)	0.20779214537432678
mbl	extractionPatterns(celebrity, comedy film starring _ 0.4545456183474251)	0.4545456183474251
mbl	extractionPatterns(celebrity, comedy staring _ 0.5294116412047185)	0.5294116412047185
mbl	extractionPatterns(celebrity, divas such as _ 0.5555553693900973)	0.5555553693900973
mbl	extractionPatterns(celebrity, _ Do a love match 0.4545456183474251)	0.4545456183474251
mbl	extractionPatterns(celebrity, _ enters rehab 0.35294113229229485)	0.35294113229229485
mbl	extractionPatterns(celebrity, exclusive biography of _ 0.520000243051522)	0.520000243051522
mbl	extractionPatterns(celebrity, favorite actor is _ 0.2613635314389791)	0.2613635314389791
mbl	extractionPatterns(celebrity, favorite actors are _ 0.29999994129778657)	0.29999994129778657
mbl	extractionPatterns(celebrity, favorite actress is _ 0.3846155557798213)	0.3846155557798213
mbl	extractionPatterns(celebrity, feature film starring _ 0.3370786476640397)	0.3370786476640397
mbl	extractionPatterns(celebrity, Film starring _ 0.5454544383110917)	0.5454544383110917
mbl	extractionPatterns(celebrity, film version , starring _ 0.5294116412047185)	0.5294116412047185
mbl	extractionPatterns(celebrity, Fire , starring _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(celebrity, Girls , starring _ 0.5555553693900973)	0.5555553693900973
mbl	extractionPatterns(celebrity, Glory starring _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(celebrity, Hollywood movie starring _ 0.5555553693900973)	0.5555553693900973
mbl	extractionPatterns(celebrity, Hollywood star _ 0.31428564787433483)	0.31428564787433483
mbl	extractionPatterns(celebrity, Hollywood stars including _ 0.42424252260355994)	0.42424252260355994
mbl	extractionPatterns(celebrity, Hollywood stars like _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(celebrity, Hollywood stars such as _ 0.07058822027733772)	0.07058822027733772
mbl	extractionPatterns(celebrity, Hood , starring _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(celebrity, lawyer played by _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(celebrity, Links Great looking _ 0.5454544383110917)	0.5454544383110917
mbl	extractionPatterns(celebrity, main character played by _ 0.44444454054060095)	0.44444454054060095
mbl	extractionPatterns(celebrity, motion picture starring _ 0.23364486205460408)	0.23364486205460408
mbl	extractionPatterns(celebrity, movie staring _ 0.32098753127070107)	0.32098753127070107
mbl	extractionPatterns(celebrity, new movie starring _ 0.3269231993640343)	0.3269231993640343
mbl	extractionPatterns(celebrity, Oz , starring _ 0.5294116412047185)	0.5294116412047185
mbl	extractionPatterns(celebrity, photosGreat looking _ 0.3611109598036276)	0.3611109598036276
mbl	extractionPatterns(celebrity, physical compatibility with _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(celebrity, Pictures starring _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(celebrity, picture , starring _ 0.5294116412047185)	0.5294116412047185
mbl	extractionPatterns(celebrity, Pop star _ 0.05882354965036912)	0.05882354965036912
mbl	extractionPatterns(celebrity, pop stars like _ 0.09411762021746081)	0.09411762021746081
mbl	extractionPatterns(celebrity, relationship with supermodel _ 0.5555553693900973)	0.5555553693900973
mbl	extractionPatterns(celebrity, remake starring _ 0.44117661331500163)	0.44117661331500163
mbl	extractionPatterns(celebrity, same name starring _ 0.5333331516919638)	0.5333331516919638
mbl	extractionPatterns(celebrity, starlets like _ 0.20779214537432678)	0.20779214537432678
mbl	extractionPatterns(celebrity, such actors as _ 0.36134467419307265)	0.36134467419307265
mbl	extractionPatterns(celebrity, superstars like _ 0.06593406839266784)	0.06593406839266784
mbl	extractionPatterns(celebrity, Woman starring _ 0.4800000840385036)	0.4800000840385036
mbl	extractionPatterns(ceo, address , given by _ 0.037735838980838196)	0.037735838980838196
mbl	extractionPatterns(ceo, _ became a billionaire 0.03409089292534803)	0.03409089292534803
mbl	extractionPatterns(ceo, capitalists like _ 0.03571426822054728)	0.03571426822054728
mbl	extractionPatterns(ceo, CNBC interview with _ 0.11111106414847875)	0.11111106414847875
mbl	extractionPatterns(ceo, company led by _ 0.01234568092188211)	0.01234568092188211
mbl	extractionPatterns(ceo, entrepreneurs such as _ 0.03174601732799018)	0.03174601732799018
mbl	extractionPatterns(ceo, giant owned by _ 0.16666674487136082)	0.16666674487136082
mbl	extractionPatterns(ceo, gurus including _ 0.16666674487136082)	0.16666674487136082
mbl	extractionPatterns(ceo, gurus such as _ 0.07954542793137097)	0.07954542793137097
mbl	extractionPatterns(ceo, _ has some vision 0.09523811972985817)	0.09523811972985817
mbl	extractionPatterns(ceo, industry luminaries such as _ 0.18750008129470605)	0.18750008129470605
mbl	extractionPatterns(ceo, interview quotes from _ 0.11111106414847875)	0.11111106414847875
mbl	extractionPatterns(ceo, _ is a venture capitalist 0.06249998263998874)	0.06249998263998874
mbl	extractionPatterns(ceo, keynote presentation by _ 0.019801986857056846)	0.019801986857056846
mbl	extractionPatterns(ceo, keynotes by _ 0.03225807111242474)	0.03225807111242474
mbl	extractionPatterns(ceo, late wife of _ 0.037735838980838196)	0.037735838980838196
mbl	extractionPatterns(ceo, major interview with _ 0.11111106414847875)	0.11111106414847875
mbl	extractionPatterns(ceoOf, arg1 announced arg2 8.320159829875934E-5)	8.320159829875934E-5
mbl	extractionPatterns(ceoOf, arg1 does at arg2 3.5498749303386565E-4)	3.5498749303386565E-4
mbl	extractionPatterns(ceoOf, arg1 for a job at arg2 3.5498749303386565E-4)	3.5498749303386565E-4
mbl	extractionPatterns(ceoOf, arg1 has said that arg2 8.077548087598094E-4)	8.077548087598094E-4
mbl	extractionPatterns(ceoOf, arg1 has used arg2 2.0445717860138212E-4)	2.0445717860138212E-4
mbl	extractionPatterns(ceoOf, arg1 is the founder of arg2 2.0445717860138212E-4)	2.0445717860138212E-4
mbl	extractionPatterns(ceoOf, arg1 joined arg2 5.3499941367365905E-5)	5.3499941367365905E-5
mbl	extractionPatterns(ceoOf, arg1 leaving arg2 1.4962775224045075E-4)	1.4962775224045075E-4
mbl	extractionPatterns(ceoOf, arg1 notes that arg2 7.755548052354829E-5)	7.755548052354829E-5
mbl	extractionPatterns(ceoOf, arg1 ran arg2 5.460003686666487E-5)	5.460003686666487E-5
mbl	extractionPatterns(ceoOf, arg1 said arg2 2.864435979437572E-5)	2.864435979437572E-5
mbl	extractionPatterns(ceoOf, arg1 says arg2 4.7041093898467275E-5)	4.7041093898467275E-5
mbl	extractionPatterns(ceoOf, arg1 says that arg2 4.177894723396591E-5)	4.177894723396591E-5
mbl	extractionPatterns(ceoOf, arg1 talking about arg2 1.1633320820875231E-4)	1.1633320820875231E-4
mbl	extractionPatterns(ceoOf, arg1 turned arg2 5.460003686666487E-5)	5.460003686666487E-5
mbl	extractionPatterns(ceoOf, arg1 unveiled arg2 2.0445717860138212E-4)	2.0445717860138212E-4
mbl	extractionPatterns(ceoOf, arg2 boss arg1 0.004022317700801656)	0.004022317700801656
mbl	extractionPatterns(ceoOf, arg2 CEO and Founder arg1 2.0445717860138212E-4)	2.0445717860138212E-4
mbl	extractionPatterns(ceoOf, arg2 chairman and CEO arg1 0.0013342232388828595)	0.0013342232388828595
mbl	extractionPatterns(ceoOf, arg2 Chairman and CEO arg1 0.017738355615483155)	0.017738355615483155
mbl	extractionPatterns(ceoOf, arg2 chairman arg1 0.0010651900979729186)	0.0010651900979729186
mbl	extractionPatterns(ceoOf, arg2 chief arg1 0.0010469940814238719)	0.0010469940814238719
mbl	extractionPatterns(ceoOf, arg2 chief executive arg1 0.0441264015967877)	0.0441264015967877
mbl	extractionPatterns(ceoOf, arg2 chief executive officer arg1 0.0347394621653606)	0.0347394621653606
mbl	extractionPatterns(ceoOf, arg2 creator arg1 6.779662839145465E-4)	6.779662839145465E-4
mbl	extractionPatterns(ceoOf, arg2 founder and CEO arg1 0.029776672322343024)	0.029776672322343024
mbl	extractionPatterns(ceoOf, arg2 founder and chairman arg1 0.0013342232388828595)	0.0013342232388828595
mbl	extractionPatterns(ceoOf, arg2 founder arg1 0.020858285991903883)	0.020858285991903883
mbl	extractionPatterns(ceoOf, arg2 guru arg1 4.940711612684569E-4)	4.940711612684569E-4
mbl	extractionPatterns(ceoOf, arg2 head arg1 1.9668108477590237E-4)	1.9668108477590237E-4
mbl	extractionPatterns(ceoOf, arg2 head honcho arg1 0.007444170768823402)	0.007444170768823402
mbl	extractionPatterns(ceoOf, arg2 led to arg1 3.9630640059863995E-5)	3.9630640059863995E-5
mbl	extractionPatterns(ceoOf, arg2 magnate arg1 0.0013342232388828595)	0.0013342232388828595
mbl	extractionPatterns(ceoOf, arg2 owner arg1 7.222473360666614E-5)	7.222473360666614E-5
mbl	extractionPatterns(ceoOf, arg2 president and CEO arg1 8.077548087598094E-4)	8.077548087598094E-4
mbl	extractionPatterns(ceoOf, arg2 supremo arg1 0.0023348888283026632)	0.0023348888283026632
mbl	extractionPatterns(ceoOf, arg2 was founded in DDDD by arg1 3.550716350401487E-4)	3.550716350401487E-4
mbl	extractionPatterns(ceoOf, arg2 was started by arg1 2.0445717860138212E-4)	2.0445717860138212E-4
mbl	extractionPatterns(ceoOf, arg2 without arg1 4.99408672708988E-6)	4.99408672708988E-6
mbl	extractionPatterns(ceo, team is owned by _ 0.06382980721544668)	0.06382980721544668
mbl	extractionPatterns(ceo, technology innovators such as _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(ceo, vultures like _ 0.1052631366954227)	0.1052631366954227
mbl	extractionPatterns(ceo, whiz kid named _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(city, agency based in _ 0.4267823989408174)	0.4267823989408174
mbl	extractionPatterns(city, annual conference in _ 0.42780320095438856)	0.42780320095438856
mbl	extractionPatterns(city, beautiful city of _ 0.43907282117226587)	0.43907282117226587
mbl	extractionPatterns(city, big city of _ 0.4831461901534856)	0.4831461901534856
mbl	extractionPatterns(city, bustling city of _ 0.5709777710179158)	0.5709777710179158
mbl	extractionPatterns(city, cities including _ 0.3377977281703696)	0.3377977281703696
mbl	extractionPatterns(city, cities , like _ 0.435616504292058)	0.435616504292058
mbl	extractionPatterns(city, city center of _ 0.512038736283884)	0.512038736283884
mbl	extractionPatterns(city, city centre of _ 0.48966245137773934)	0.48966245137773934
mbl	extractionPatterns(city, city like _ 0.4482657636594078)	0.4482657636594078
mbl	extractionPatterns(city, city such as _ 0.4654893784655448)	0.4654893784655448
mbl	extractionPatterns(city, company headquartered in _ 0.4279529582807259)	0.4279529582807259
mbl	extractionPatterns(city, company is headquartered in _ 0.4491191764802048)	0.4491191764802048
mbl	extractionPatterns(city, Conference held in _ 0.43161339948816124)	0.43161339948816124
mbl	extractionPatterns(city, Corporation , headquartered in _ 0.47906978655579935)	0.47906978655579935
mbl	extractionPatterns(city, daily flights from _ 0.4315068041435547)	0.4315068041435547
mbl	extractionPatterns(city, Dealership located in _ 0.5758511913584214)	0.5758511913584214
mbl	extractionPatterns(city, direct flight from _ 0.580381287028683)	0.580381287028683
mbl	extractionPatterns(city, drive north of _ 0.5024078695688953)	0.5024078695688953
mbl	extractionPatterns(city, embassy in _ 0.5074566451455647)	0.5074566451455647
mbl	extractionPatterns(city, entire city of _ 0.4668118468666805)	0.4668118468666805
mbl	extractionPatterns(city, firm based in _ 0.2934279955899274)	0.2934279955899274
mbl	extractionPatterns(city, firm headquartered in _ 0.5917926256356312)	0.5917926256356312
mbl	extractionPatterns(city, former mayor of _ 0.42521727729610675)	0.42521727729610675
mbl	extractionPatterns(city, great city of _ 0.46318719395848335)	0.46318719395848335
mbl	extractionPatterns(city, head office in _ 0.41513396650011425)	0.41513396650011425
mbl	extractionPatterns(city, headquarters are in _ 0.43084064087479035)	0.43084064087479035
mbl	extractionPatterns(city, headquarters in _ 0.43003486163975)	0.43003486163975
mbl	extractionPatterns(city, home city of _ 0.42494480035954774)	0.42494480035954774
mbl	extractionPatterns(city, hour north of _ 0.4885746521669681)	0.4885746521669681
mbl	extractionPatterns(city, hour outside of _ 0.5582089077596429)	0.5582089077596429
mbl	extractionPatterns(city, _ is a great city 0.44940131190428506)	0.44940131190428506
mbl	extractionPatterns(city, journalist based in _ 0.48904097478565717)	0.48904097478565717
mbl	extractionPatterns(city, layover in _ 0.5004412848978329)	0.5004412848978329
mbl	extractionPatterns(cityLocatedInCountry, arg1 American School in arg2 0.08108105059266367)	0.08108105059266367
mbl	extractionPatterns(cityLocatedInCountry, arg1 and accredited to arg2 0.14666664330823304)	0.14666664330823304
mbl	extractionPatterns(cityLocatedInCountry, arg1 and all regions of arg2 0.08219177851400027)	0.08219177851400027
mbl	extractionPatterns(cityLocatedInCountry, arg1 and distributed throughout arg2 0.04861111842808953)	0.04861111842808953
mbl	extractionPatterns(cityLocatedInCountry, arg1 and in other cities in arg2 0.06849311840509602)	0.06849311840509602
mbl	extractionPatterns(cityLocatedInCountry, arg1 and other cities across arg2 0.027777776068225332)	0.027777776068225332
mbl	extractionPatterns(cityLocatedInCountry, arg1 and other cities in arg2 0.07239818854501154)	0.07239818854501154
mbl	extractionPatterns(cityLocatedInCountry, arg1 and other cities of arg2 0.06249998263998874)	0.06249998263998874
mbl	extractionPatterns(cityLocatedInCountry, arg1 and other destinations in arg2 0.07826083442821027)	0.07826083442821027
mbl	extractionPatterns(cityLocatedInCountry, arg1 and other locations in arg2 0.015444010819763583)	0.015444010819763583
mbl	extractionPatterns(cityLocatedInCountry, arg1 and other major cities in arg2 0.08333330414900512)	0.08333330414900512
mbl	extractionPatterns(cityLocatedInCountry, arg1 and other major cities of arg2 0.10810805962426319)	0.10810805962426319
mbl	extractionPatterns(cityLocatedInCountry, arg1 and other towns in arg2 0.06741572362948918)	0.06741572362948918
mbl	extractionPatterns(cityLocatedInCountry, arg1 and other towns of arg2 0.0789473582414435)	0.0789473582414435
mbl	extractionPatterns(cityLocatedInCountry, arg1 and tourist resorts in arg2 0.05607478683554679)	0.05607478683554679
mbl	extractionPatterns(cityLocatedInCountry, arg1 as the capital of arg2 0.1011450149823553)	0.1011450149823553
mbl	extractionPatterns(cityLocatedInCountry, arg1 as well as all over arg2 0.09756094688628882)	0.09756094688628882
mbl	extractionPatterns(cityLocatedInCountry, arg1 became the capital of arg2 0.08828527026087249)	0.08828527026087249
mbl	extractionPatterns(cityLocatedInCountry, arg1 becomes the capital of arg2 0.05607478683554679)	0.05607478683554679
mbl	extractionPatterns(cityLocatedInCountry, arg1 being the capital of arg2 0.10975606133357066)	0.10975606133357066
mbl	extractionPatterns(cityLocatedInCountry, arg1 City University in arg2 0.18666662633193404)	0.18666662633193404
mbl	extractionPatterns(cityLocatedInCountry, arg1 has been the capital of arg2 0.04672896831905648)	0.04672896831905648
mbl	extractionPatterns(cityLocatedInCountry, arg1 is a capital of arg2 0.07999997154466548)	0.07999997154466548
mbl	extractionPatterns(cityLocatedInCountry, arg1 is also the capital of arg2 0.10666662099803373)	0.10666662099803373
mbl	extractionPatterns(cityLocatedInCountry, arg1 is the administrative capital of arg2 0.06849311840509602)	0.06849311840509602
mbl	extractionPatterns(cityLocatedInCountry, arg1 is the biggest city in arg2 0.07317071546606509)	0.07317071546606509
mbl	extractionPatterns(cityLocatedInCountry, arg1 is the capital city of arg2 0.10349655001714053)	0.10349655001714053
mbl	extractionPatterns(cityLocatedInCountry, arg1 is the capital of arg2 0.10252096138439974)	0.10252096138439974
mbl	extractionPatterns(cityLocatedInCountry, arg1 is the Capital of arg2 0.10476191286619728)	0.10476191286619728
mbl	extractionPatterns(cityLocatedInCountry, arg1 is the commercial capital of arg2 0.14666664330823304)	0.14666664330823304
mbl	extractionPatterns(cityLocatedInCountry, arg1 is the financial capital of arg2 0.08219177851400027)	0.08219177851400027
mbl	extractionPatterns(cityLocatedInCountry, arg1 is the largest city of arg2 0.09459458931137846)	0.09459458931137846
mbl	extractionPatterns(cityLocatedInCountry, arg1 is the main gateway to arg2 0.06849311840509602)	0.06849311840509602
mbl	extractionPatterns(cityLocatedInCountry, arg1 is the oldest university in arg2 0.07999997154466548)	0.07999997154466548
mbl	extractionPatterns(cityLocatedInCountry, arg1 is the only city in arg2 0.015151511242825131)	0.015151511242825131
mbl	extractionPatterns(cityLocatedInCountry, arg1 Medical University in arg2 0.020618552534916658)	0.020618552534916658
mbl	extractionPatterns(cityLocatedInCountry, arg1 National University in arg2 0.13530659519760613)	0.13530659519760613
mbl	extractionPatterns(cityLocatedInCountry, arg1 on the Map of arg2 0.4104476030561067)	0.4104476030561067
mbl	extractionPatterns(cityLocatedInCountry, arg1 School of Economics in arg2 0.09374996382484606)	0.09374996382484606
mbl	extractionPatterns(cityLocatedInCountry, arg1 The capital city of arg2 0.06756757978176255)	0.06756757978176255
mbl	extractionPatterns(cityLocatedInCountry, arg1 the capital city of arg2 0.10434787602525539)	0.10434787602525539
mbl	extractionPatterns(cityLocatedInCountry, arg1 the capital of arg2 0.09453472988385192)	0.09453472988385192
mbl	extractionPatterns(cityLocatedInCountry, arg1 the capitol of arg2 0.0789473582414435)	0.0789473582414435
mbl	extractionPatterns(cityLocatedInCountry, arg1 The largest city in arg2 0.06849311840509602)	0.06849311840509602
mbl	extractionPatterns(cityLocatedInCountry, arg1 was the first city in arg2 0.05405403957212513)	0.05405403957212513
mbl	extractionPatterns(cityLocatedInCountry, arg1 with offices throughout arg2 0.012820510598584696)	0.012820510598584696
mbl	extractionPatterns(cityLocatedInCountry, arg2 and its capital arg1 0.07537685605193616)	0.07537685605193616
mbl	extractionPatterns(cityLocatedInCountry, arg2 in DDDD and lived in arg1 0.01546391552157567)	0.01546391552157567
mbl	extractionPatterns(cityLocatedInCountry, arg2 in DDDD and settled in arg1 0.028915658904367408)	0.028915658904367408
mbl	extractionPatterns(cityLocatedInCountry, arg2 region through Dance in arg1 0.10666662099803373)	0.10666662099803373
mbl	extractionPatterns(cityLocatedInState, arg1 and all of Southern arg2 0.08750004249163504)	0.08750004249163504
mbl	extractionPatterns(cityLocatedInState, arg1 and the great state of arg2 0.2173913703250207)	0.2173913703250207
mbl	extractionPatterns(cityLocatedInState, arg1 and throughout the state of arg2 0.0818181645100543)	0.0818181645100543
mbl	extractionPatterns(cityLocatedInState, arg1 Bay area in arg2 0.17708330631247643)	0.17708330631247643
mbl	extractionPatterns(cityLocatedInState, arg1 Bay area of arg2 0.24458215848205547)	0.24458215848205547
mbl	extractionPatterns(cityLocatedInState, arg1 Bay Area of arg2 0.5700934410056478)	0.5700934410056478
mbl	extractionPatterns(cityLocatedInState, arg1 Bay region of arg2 0.09523811972985817)	0.09523811972985817
mbl	extractionPatterns(cityLocatedInState, arg1 County in the State of arg2 0.09565216009751124)	0.09565216009751124
mbl	extractionPatterns(cityLocatedInState, arg1 wedding limousine service companies in arg2 0.0869565248147135)	0.0869565248147135
mbl	extractionPatterns(cityLocatedInState, arg2 Academy of Science in arg1 0.08750004249163504)	0.08750004249163504
mbl	extractionPatterns(cityLocatedInState, arg2 a suburb of arg1 0.10185184719985511)	0.10185184719985511
mbl	extractionPatterns(cityLocatedInState, arg2 chocolate fountain rentals in arg1 0.03669723013245386)	0.03669723013245386
mbl	extractionPatterns(cityLocatedInState, arg2 chocolate fountain rentals including arg1 0.12195123832563648)	0.12195123832563648
mbl	extractionPatterns(cityLocatedInState, arg2 College of Art in arg1 0.09165305242625696)	0.09165305242625696
mbl	extractionPatterns(cityLocatedInState, arg2 College of Arts in arg1 0.09677418540164905)	0.09677418540164905
mbl	extractionPatterns(cityLocatedInState, arg2 College of Optometry in arg1 0.2903224723980957)	0.2903224723980957
mbl	extractionPatterns(cityLocatedInState, arg2 Convention Center in downtown arg1 0.13414633803810622)	0.13414633803810622
mbl	extractionPatterns(cityLocatedInState, arg2 dial up numbers in arg1 0.0869565248147135)	0.0869565248147135
mbl	extractionPatterns(cityLocatedInState, arg2 Eye and Ear Infirmary in arg1 0.24731189651779922)	0.24731189651779922
mbl	extractionPatterns(cityLocatedInState, arg2 Health Science Center at arg1 0.3807169855354231)	0.3807169855354231
mbl	extractionPatterns(cityLocatedInState, arg2 Health Science Center in arg1 0.4324325147694968)	0.4324325147694968
mbl	extractionPatterns(cityLocatedInState, arg2 Health Sciences Center at arg1 0.144927595884536)	0.144927595884536
mbl	extractionPatterns(cityLocatedInState, arg2 Health Sciences Center in arg1 0.08518516329849238)	0.08518516329849238
mbl	extractionPatterns(cityLocatedInState, arg2 Historical Society in arg1 0.038596487656747815)	0.038596487656747815
mbl	extractionPatterns(cityLocatedInState, arg2 Hotels Planning your trip to arg1 0.057142850338827156)	0.057142850338827156
mbl	extractionPatterns(cityLocatedInState, arg2 including cities such as arg1 0.047619068463024695)	0.047619068463024695
mbl	extractionPatterns(cityLocatedInState, arg2 Institute of Art in arg1 0.08641975357185036)	0.08641975357185036
mbl	extractionPatterns(cityLocatedInState, arg2 Institute of Technology in arg1 0.03679740325572912)	0.03679740325572912
mbl	extractionPatterns(cityLocatedInState, arg2 International University in arg1 0.42535209254009687)	0.42535209254009687
mbl	extractionPatterns(cityLocatedInState, arg2 IVF Clinics in arg1 0.0380952376776241)	0.0380952376776241
mbl	extractionPatterns(cityLocatedInState, arg2 map include arg1 0.10000000929940499)	0.10000000929940499
mbl	extractionPatterns(cityLocatedInState, arg2 Mental Health Center in arg1 0.08750004249163504)	0.08750004249163504
mbl	extractionPatterns(cityLocatedInState, arg2 Nissan dealer in arg1 0.11594202468607816)	0.11594202468607816
mbl	extractionPatterns(cityLocatedInState, arg2 outside metro arg1 0.0869565248147135)	0.0869565248147135
mbl	extractionPatterns(cityLocatedInState, arg2 School of Design in arg1 0.13702621789045766)	0.13702621789045766
mbl	extractionPatterns(cityLocatedInState, arg2 School of Fine Arts in arg1 0.2359550401368888)	0.2359550401368888
mbl	extractionPatterns(cityLocatedInState, arg2 School of Pharmacy in arg1 0.03669723013245386)	0.03669723013245386
mbl	extractionPatterns(cityLocatedInState, arg2 School of Professional Psychology in arg1 0.03669723013245386)	0.03669723013245386
mbl	extractionPatterns(cityLocatedInState, arg2 singles go here for arg1 0.06666668007348202)	0.06666668007348202
mbl	extractionPatterns(cityLocatedInState, arg2 Singles in arg1 0.07569720812486669)	0.07569720812486669
mbl	extractionPatterns(cityLocatedInState, arg2 State Archives in arg1 0.07317071546606509)	0.07317071546606509
mbl	extractionPatterns(cityLocatedInState, arg2 State Capitol in arg1 0.11718750736141513)	0.11718750736141513
mbl	extractionPatterns(cityLocatedInState, arg2 state court in arg1 0.0869565248147135)	0.0869565248147135
mbl	extractionPatterns(cityLocatedInState, arg2 State Fairgrounds in arg1 0.14444448963660117)	0.14444448963660117
mbl	extractionPatterns(cityLocatedInState, arg2 State Fair in arg1 0.08076924638128688)	0.08076924638128688
mbl	extractionPatterns(cityLocatedInState, arg2 State House in arg1 0.11827959595595704)	0.11827959595595704
mbl	extractionPatterns(cityLocatedInState, arg2 State near arg1 0.03669723013245386)	0.03669723013245386
mbl	extractionPatterns(cityLocatedInState, arg2 State University at arg1 0.07818933670497984)	0.07818933670497984
mbl	extractionPatterns(cityLocatedInState, arg2 The table below shows arg1 0.0939597293196162)	0.0939597293196162
mbl	extractionPatterns(cityLocatedInState, arg2 which is a suburb of arg1 0.07500001240843804)	0.07500001240843804
mbl	extractionPatterns(city, metropolitan area of _ 0.4315672193250988)	0.4315672193250988
mbl	extractionPatterns(city, news conference in _ 0.4027553392619563)	0.4027553392619563
mbl	extractionPatterns(city, organization based in _ 0.28816357250144725)	0.28816357250144725
mbl	extractionPatterns(city, photographer based in _ 0.435616504292058)	0.435616504292058
mbl	extractionPatterns(city, plane landed in _ 0.5526314253174481)	0.5526314253174481
mbl	extractionPatterns(city, regional office in _ 0.4565536779449938)	0.4565536779449938
mbl	extractionPatterns(city, slums of _ 0.43706690277915905)	0.43706690277915905
mbl	extractionPatterns(city, start near _ 0.45348821342829043)	0.45348821342829043
mbl	extractionPatterns(city, suburb of _ 0.42408388556708115)	0.42408388556708115
mbl	extractionPatterns(city, suburbs of _ 0.3446361693525528)	0.3446361693525528
mbl	extractionPatterns(city, team based in _ 0.4455129339755013)	0.4455129339755013
mbl	extractionPatterns(city, town outside of _ 0.6079813936704158)	0.6079813936704158
mbl	extractionPatterns(city, train ride from _ 0.43175844595683144)	0.43175844595683144
mbl	extractionPatterns(city, vibrant city of _ 0.5666666879766993)	0.5666666879766993
mbl	extractionPatterns(city, wonderful city of _ 0.5747127087508299)	0.5747127087508299
mbl	extractionPatterns(city, writer based in _ 0.3326331659389701)	0.3326331659389701
mbl	extractionPatterns(clothing, black coat , white _ 0.5714284502488258)	0.5714284502488258
mbl	extractionPatterns(clothing, black pants , black _ 0.5555553693900973)	0.5555553693900973
mbl	extractionPatterns(clothing, black trousers , black _ 0.6153845020195187)	0.6153845020195187
mbl	extractionPatterns(clothing, blouse , grey _ 0.7142858833008864)	0.7142858833008864
mbl	extractionPatterns(clothing, boots , hiking _ 0.7380955435177985)	0.7380955435177985
mbl	extractionPatterns(clothing, boots , long _ 0.45205474013018215)	0.45205474013018215
mbl	extractionPatterns(clothing, boy in short _ 0.7333332807561508)	0.7333332807561508
mbl	extractionPatterns(clothing, dark suit , white _ 0.9687497077422937)	0.9687497077422937
mbl	extractionPatterns(clothing, dresses , fancy _ 0.5714284502488258)	0.5714284502488258
mbl	extractionPatterns(clothing, dresses , formal _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(clothing, dresses prom _ 0.5106381811210923)	0.5106381811210923
mbl	extractionPatterns(clothing, dry pair of _ 0.5374997414519838)	0.5374997414519838
mbl	extractionPatterns(clothing, first pair of long _ 0.6800003269522281)	0.6800003269522281
mbl	extractionPatterns(clothing, gloves , black _ 0.5483870202352251)	0.5483870202352251
mbl	extractionPatterns(clothing, gloves , long _ 0.47368440086698504)	0.47368440086698504
mbl	extractionPatterns(clothing, jacket , long _ 0.5882354418012953)	0.5882354418012953
mbl	extractionPatterns(clothing, jackets , white _ 0.6315791553969439)	0.6315791553969439
mbl	extractionPatterns(clothing, jacket , white _ 0.4177216405445475)	0.4177216405445475
mbl	extractionPatterns(clothing, jeans , casual _ 0.5714284502488258)	0.5714284502488258
mbl	extractionPatterns(clothing, leather high heeled _ 0.7333332807561508)	0.7333332807561508
mbl	extractionPatterns(clothing, mens dress _ 0.6481481384744467)	0.6481481384744467
mbl	extractionPatterns(clothing, pair of casual _ 0.5576922455625736)	0.5576922455625736
mbl	extractionPatterns(clothing, pair of dry _ 0.46575338578213604)	0.46575338578213604
mbl	extractionPatterns(clothing, pair of high-heeled _ 0.5789471984236444)	0.5789471984236444
mbl	extractionPatterns(clothing, pants , white _ 0.5514704626101659)	0.5514704626101659
mbl	extractionPatterns(clothing, rubber soled _ 0.7627903927896802)	0.7627903927896802
mbl	extractionPatterns(clothing, sandals , hiking _ 0.7333332807561508)	0.7333332807561508
mbl	extractionPatterns(clothing, shirt , khaki _ 0.6249997682786277)	0.6249997682786277
mbl	extractionPatterns(clothing, shirt , long _ 0.7882350080665987)	0.7882350080665987
mbl	extractionPatterns(clothing, shirts , casual _ 0.6315791553969439)	0.6315791553969439
mbl	extractionPatterns(clothing, shirts , long _ 0.7439027240067309)	0.7439027240067309
mbl	extractionPatterns(clothing, shirt , tan _ 0.6315791553969439)	0.6315791553969439
mbl	extractionPatterns(clothing, shoes , casual _ 0.6527774626859351)	0.6527774626859351
mbl	extractionPatterns(clothing, shoes , hiking _ 0.8039212197416588)	0.8039212197416588
mbl	extractionPatterns(clothing, shorts , hiking _ 0.565217311307787)	0.565217311307787
mbl	extractionPatterns(clothing, shorts , white _ 0.4155842157107836)	0.4155842157107836
mbl	extractionPatterns(clothing, slacks , black _ 0.5882354418012953)	0.5882354418012953
mbl	extractionPatterns(clothing, slacks , dark _ 0.7333332807561508)	0.7333332807561508
mbl	extractionPatterns(clothing, slacks , white _ 0.6176471124925761)	0.6176471124925761
mbl	extractionPatterns(clothing, suit , blue _ 0.6315791553969439)	0.6315791553969439
mbl	extractionPatterns(clothing, suit , red _ 0.5999997742596369)	0.5999997742596369
mbl	extractionPatterns(clothing, tie , black _ 0.5925926777864048)	0.5925926777864048
mbl	extractionPatterns(clothing, tie , white _ 0.5609755260446071)	0.5609755260446071
mbl	extractionPatterns(clothing, trousers , white _ 0.5918370117470123)	0.5918370117470123
mbl	extractionPatterns(clothing, uniform of white _ 0.5588232753984311)	0.5588232753984311
mbl	extractionPatterns(clothing, white button down _ 0.8076923887022825)	0.8076923887022825
mbl	extractionPatterns(clothing, white shirt , black _ 0.5871558452077752)	0.5871558452077752
mbl	extractionPatterns(clothing, white shirt , dark _ 0.5600002773417163)	0.5600002773417163
mbl	extractionPatterns(clothing, white shirt , red _ 0.6315791553969439)	0.6315791553969439
mbl	extractionPatterns(clothing, womens hiking _ 0.5789471984236444)	0.5789471984236444
mbl	extractionPatterns(coach, basketball program under _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(coach, _ became coach 0.15533984714406057)	0.15533984714406057
mbl	extractionPatterns(coach, _ became head coach 0.04026844980070137)	0.04026844980070137
mbl	extractionPatterns(coach, better coach than _ 0.08571426624182829)	0.08571426624182829
mbl	extractionPatterns(coach, _ coached team 0.16470587030883352)	0.16470587030883352
mbl	extractionPatterns(coach, coaches , like _ 0.11111106414847875)	0.11111106414847875
mbl	extractionPatterns(coach, Coaches such as _ 0.09677418540164905)	0.09677418540164905
mbl	extractionPatterns(coach, coaching career of _ 0.13043477312100557)	0.13043477312100557
mbl	extractionPatterns(coach, coaching job vacated by _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(coach, coach other than _ 0.357143006136159)	0.357143006136159
mbl	extractionPatterns(coach, coach such as _ 0.19047620506734006)	0.19047620506734006
mbl	extractionPatterns(coach, coordinator under _ 0.045454566061746304)	0.045454566061746304
mbl	extractionPatterns(coach, current coach is _ 0.16666674487136082)	0.16666674487136082
mbl	extractionPatterns(coach, current head coach is _ 0.045454566061746304)	0.045454566061746304
mbl	extractionPatterns(coachesTeam, arg2 coach arg1 0.003705007484974853)	0.003705007484974853
mbl	extractionPatterns(coachesTeam, arg2 head coach arg1 0.005113219673946176)	0.005113219673946176
mbl	extractionPatterns(coach, first coach since _ 0.09677418540164905)	0.09677418540164905
mbl	extractionPatterns(coach, great coach in _ 0.10810805962426319)	0.10810805962426319
mbl	extractionPatterns(coach, _ has been coach 0.17647059800966608)	0.17647059800966608
mbl	extractionPatterns(coach, _ has been named head coach 0.1052631366954227)	0.1052631366954227
mbl	extractionPatterns(coach, head coach like _ 0.30769230656666036)	0.30769230656666036
mbl	extractionPatterns(coach, head coach , replacing _ 0.21428572306010352)	0.21428572306010352
mbl	extractionPatterns(coach, interim coach after _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(coach, _ is a bad coach 0.2666666239952886)	0.2666666239952886
mbl	extractionPatterns(coach, _ is a fantastic coach 0.2105262353782364)	0.2105262353782364
mbl	extractionPatterns(coach, _ is a former coach 0.1052631366954227)	0.1052631366954227
mbl	extractionPatterns(coach, _ is a good coach 0.11688309870983493)	0.11688309870983493
mbl	extractionPatterns(coach, _ is a great basketball coach 0.15384618106178571)	0.15384618106178571
mbl	extractionPatterns(coach, _ is a great coach 0.04324325549831477)	0.04324325549831477
mbl	extractionPatterns(coach, _ is a helluva coach 0.14285716415076063)	0.14285716415076063
mbl	extractionPatterns(coach, _ is an offensive coach 0.14285716415076063)	0.14285716415076063
mbl	extractionPatterns(coach, _ is another coach 0.14285716415076063)	0.14285716415076063
mbl	extractionPatterns(coach, _ is a terrible coach 0.21428572306010352)	0.21428572306010352
mbl	extractionPatterns(coach, _ is a terrific coach 0.14285716415076063)	0.14285716415076063
mbl	extractionPatterns(coach, _ is the current coach 0.23076924664463755)	0.23076924664463755
mbl	extractionPatterns(coach, _ is the new head coach 0.09677418540164905)	0.09677418540164905
mbl	extractionPatterns(coach, _ is the only coach 0.10714288087576275)	0.10714288087576275
mbl	extractionPatterns(coach, _ is the other coach 0.11111106414847875)	0.11111106414847875
mbl	extractionPatterns(coach, _ is the right coach 0.23076924664463755)	0.23076924664463755
mbl	extractionPatterns(coach, Jerry Jones fired _ 0.21428572306010352)	0.21428572306010352
mbl	extractionPatterns(coach, Marty Schottenheimer look like _ 0.15384618106178571)	0.15384618106178571
mbl	extractionPatterns(coach, Michigan hired _ 0.30769230656666036)	0.30769230656666036
mbl	extractionPatterns(coach, Ravens hired _ 0.23076924664463755)	0.23076924664463755
mbl	extractionPatterns(coach, _ resigns as 0.13333333607230202)	0.13333333607230202
mbl	extractionPatterns(coach, secondary coach under _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(coach, team coached by _ 0.11173179131696907)	0.11173179131696907
mbl	extractionPatterns(coach, _ was a better coach 0.11111106414847875)	0.11111106414847875
mbl	extractionPatterns(coach, _ was a great hire 0.23076924664463755)	0.23076924664463755
mbl	extractionPatterns(coach, _ was experiencing success 0.1052631366954227)	0.1052631366954227
mbl	extractionPatterns(coach, _ was named the new head coach 0.22222231039474505)	0.22222231039474505
mbl	extractionPatterns(coach, _ was the QB coach 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(coach, West hired _ 0.15384618106178571)	0.15384618106178571
mbl	extractionPatterns(company, airlines including _ 0.25083623574945196)	0.25083623574945196
mbl	extractionPatterns(company, airlines , including _ 0.2817336944898759)	0.2817336944898759
mbl	extractionPatterns(company, airlines such as _ 0.2204723475270658)	0.2204723475270658
mbl	extractionPatterns(company, behemoths like _ 0.26530610670282023)	0.26530610670282023
mbl	extractionPatterns(company, brands including _ 0.3180855204897755)	0.3180855204897755
mbl	extractionPatterns(company, carriers such as _ 0.22668814876672902)	0.22668814876672902
mbl	extractionPatterns(company, chains like _ 0.23893804179748973)	0.23893804179748973
mbl	extractionPatterns(company, companies , like _ 0.22280707867543045)	0.22280707867543045
mbl	extractionPatterns(company, company like _ 0.2277754508542302)	0.2277754508542302
mbl	extractionPatterns(company, competitors like _ 0.24641454968988696)	0.24641454968988696
mbl	extractionPatterns(company, competitors such as _ 0.253968255022667)	0.253968255022667
mbl	extractionPatterns(company, corporation like _ 0.25714298163942295)	0.25714298163942295
mbl	extractionPatterns(company, corporations like _ 0.2975892794576039)	0.2975892794576039
mbl	extractionPatterns(company, corporations , such as _ 0.22622956973345265)	0.22622956973345265
mbl	extractionPatterns(company, corporations such as _ 0.27557760561052796)	0.27557760561052796
mbl	extractionPatterns(companyEconomicSector, arg2 companies from arg1 0.0015444012255964703)	0.0015444012255964703
mbl	extractionPatterns(companyEconomicSector, arg2 companies like arg1 0.0014786644459507314)	0.0014786644459507314
mbl	extractionPatterns(companyEconomicSector, arg2 companies such as arg1 0.0011074192175161515)	0.0011074192175161515
mbl	extractionPatterns(companyEconomicSector, arg2 donated by arg1 3.060913411696217E-4)	3.060913411696217E-4
mbl	extractionPatterns(companyEconomicSector, arg2 firm arg1 1.742108867158621E-4)	1.742108867158621E-4
mbl	extractionPatterns(companyEconomicSector, arg2 giant arg1 0.0014739299648707641)	0.0014739299648707641
mbl	extractionPatterns(companyEconomicSector, arg2 giants arg1 4.4296801120318125E-4)	4.4296801120318125E-4
mbl	extractionPatterns(companyEconomicSector, arg2 giants like arg1 0.0018674134264945088)	0.0018674134264945088
mbl	extractionPatterns(companyEconomicSector, arg2 group arg1 2.493702278346385E-5)	2.493702278346385E-5
mbl	extractionPatterns(companyEconomicSector, arg2 manufacturers like arg1 0.0018674134264945088)	0.0018674134264945088
mbl	extractionPatterns(companyEconomicSector, arg2 manufacturers such as arg1 0.003734826178628945)	0.003734826178628945
mbl	extractionPatterns(companyEconomicSector, arg2 provided by arg1 2.862703519791898E-5)	2.862703519791898E-5
mbl	extractionPatterns(company, format developed by _ 0.3741647763941023)	0.3741647763941023
mbl	extractionPatterns(company, giants like _ 0.2415395623625021)	0.2415395623625021
mbl	extractionPatterns(company, giants such as _ 0.17803662347394975)	0.17803662347394975
mbl	extractionPatterns(company, Google bought _ 0.245664621613409)	0.245664621613409
mbl	extractionPatterns(company, industry leaders like _ 0.24126991329838202)	0.24126991329838202
mbl	extractionPatterns(company, industry leaders such as _ 0.31129477068163547)	0.31129477068163547
mbl	extractionPatterns(company, makers like _ 0.22734490712401625)	0.22734490712401625
mbl	extractionPatterns(company, makers such as _ 0.23969475962605302)	0.23969475962605302
mbl	extractionPatterns(company, manufacturers , including _ 0.21780981613685527)	0.21780981613685527
mbl	extractionPatterns(company, manufacturers like _ 0.2246611526814563)	0.2246611526814563
mbl	extractionPatterns(company, manufacturers such as _ 0.18598913889714075)	0.18598913889714075
mbl	extractionPatterns(company, manufacturers , such as _ 0.24116426021607143)	0.24116426021607143
mbl	extractionPatterns(company, media sites like _ 0.4298246259992117)	0.4298246259992117
mbl	extractionPatterns(company, multinationals like _ 0.3061224786760473)	0.3061224786760473
mbl	extractionPatterns(company, networking sites like _ 0.325301120824002)	0.325301120824002
mbl	extractionPatterns(company, networking sites , such as _ 0.3112244260127084)	0.3112244260127084
mbl	extractionPatterns(company, popular sites like _ 0.30701766264632)	0.30701766264632
mbl	extractionPatterns(company, _ pre-owned from 0.3010204729804308)	0.3010204729804308
mbl	extractionPatterns(company, product manager at _ 0.23229457335088688)	0.23229457335088688
mbl	extractionPatterns(company, retailers like _ 0.28044602409632724)	0.28044602409632724
mbl	extractionPatterns(company, retailers such as _ 0.2530328390654673)	0.2530328390654673
mbl	extractionPatterns(company, retailers , such as _ 0.25714298163942295)	0.25714298163942295
mbl	extractionPatterns(company, rivals such as _ 0.25046376991378394)	0.25046376991378394
mbl	extractionPatterns(company, social networking sites such as _ 0.7672205270273867)	0.7672205270273867
mbl	extractionPatterns(company, social networks like _ 0.7002345000271017)	0.7002345000271017
mbl	extractionPatterns(company, social networks such as _ 0.33108107302041184)	0.33108107302041184
mbl	extractionPatterns(company, social sites like _ 0.3245612528312633)	0.3245612528312633
mbl	extractionPatterns(company, stores like _ 0.23786404690907367)	0.23786404690907367
mbl	extractionPatterns(company, stores such as _ 0.23382039525047205)	0.23382039525047205
mbl	extractionPatterns(company, store such as _ 0.2229729088231305)	0.2229729088231305
mbl	extractionPatterns(company, vendors , including _ 0.25555567168031146)	0.25555567168031146
mbl	extractionPatterns(company, vendors including _ 0.30418263041945615)	0.30418263041945615
mbl	extractionPatterns(company, vendors like _ 0.25349910158514494)	0.25349910158514494
mbl	extractionPatterns(company, vendors such as _ 0.21577458590150597)	0.21577458590150597
mbl	extractionPatterns(company, vendors , such as _ 0.2468083881220257)	0.2468083881220257
mbl	extractionPatterns(competesWith, arg1 and MSN and arg2 0.011705680993758818)	0.011705680993758818
mbl	extractionPatterns(competesWith, arg1 and rival arg2 0.00696517184086111)	0.00696517184086111
mbl	extractionPatterns(competesWith, arg1 beat out arg2 0.004382122863400838)	0.004382122863400838
mbl	extractionPatterns(competesWith, arg1 buys arg2 0.005158290772511119)	0.005158290772511119
mbl	extractionPatterns(competesWith, arg1 can compete with arg2 0.0055467506008882355)	0.0055467506008882355
mbl	extractionPatterns(competesWith, arg1 competitor arg2 0.0047125364098958905)	0.0047125364098958905
mbl	extractionPatterns(competesWith, arg1 Corp and arg2 0.00793650719802764)	0.00793650719802764
mbl	extractionPatterns(competesWith, arg1 countered arg2 0.006441222034226263)	0.006441222034226263
mbl	extractionPatterns(competesWith, arg1 Google and arg2 0.00912646358042246)	0.00912646358042246
mbl	extractionPatterns(competesWith, arg1 had approached arg2 0.006441222034226263)	0.006441222034226263
mbl	extractionPatterns(competesWith, arg1 has overtaken arg2 0.008130084190020165)	0.008130084190020165
mbl	extractionPatterns(competesWith, arg1 has surpassed arg2 0.005763686451798238)	0.005763686451798238
mbl	extractionPatterns(competesWith, arg1 has topped arg2 0.006441222034226263)	0.006441222034226263
mbl	extractionPatterns(competesWith, arg1 is ahead of arg2 0.007001170007256656)	0.007001170007256656
mbl	extractionPatterns(competesWith, arg1 is beating arg2 0.008130084190020165)	0.008130084190020165
mbl	extractionPatterns(competesWith, arg1 is competing with arg2 0.008051531155389634)	0.008051531155389634
mbl	extractionPatterns(competesWith, arg1 is copying arg2 0.006441222034226263)	0.006441222034226263
mbl	extractionPatterns(competesWith, arg1 is going after arg2 0.010033447672802183)	0.010033447672802183
mbl	extractionPatterns(competesWith, arg1 lags behind arg2 0.006319115709474171)	0.006319115709474171
mbl	extractionPatterns(competesWith, arg1 MSN and arg2 0.008130084190020165)	0.008130084190020165
mbl	extractionPatterns(competesWith, arg1 or MSN or arg2 0.021739139054112466)	0.021739139054112466
mbl	extractionPatterns(competesWith, arg1 overtakes arg2 0.006319115709474171)	0.006319115709474171
mbl	extractionPatterns(competesWith, arg1 rival arg2 0.006085192000251036)	0.006085192000251036
mbl	extractionPatterns(competesWith, arg1 should buy arg2 0.013856816518814798)	0.013856816518814798
mbl	extractionPatterns(competesWith, arg1 takeover of arg2 0.0367393827436153)	0.0367393827436153
mbl	extractionPatterns(competesWith, arg2 and MSN and arg1 0.011705680993758818)	0.011705680993758818
mbl	extractionPatterns(competesWith, arg2 and rival arg1 0.00696517184086111)	0.00696517184086111
mbl	extractionPatterns(competesWith, arg2 beat out arg1 0.004382122863400838)	0.004382122863400838
mbl	extractionPatterns(competesWith, arg2 buys arg1 0.005158290772511119)	0.005158290772511119
mbl	extractionPatterns(competesWith, arg2 can compete with arg1 0.0055467506008882355)	0.0055467506008882355
mbl	extractionPatterns(competesWith, arg2 competitor arg1 0.0047125364098958905)	0.0047125364098958905
mbl	extractionPatterns(competesWith, arg2 Corp and arg1 0.00793650719802764)	0.00793650719802764
mbl	extractionPatterns(competesWith, arg2 countered arg1 0.006319115709474171)	0.006319115709474171
mbl	extractionPatterns(competesWith, arg2 Google and arg1 0.00912646358042246)	0.00912646358042246
mbl	extractionPatterns(competesWith, arg2 had approached arg1 0.006319115709474171)	0.006319115709474171
mbl	extractionPatterns(competesWith, arg2 has overtaken arg1 0.008051531155389634)	0.008051531155389634
mbl	extractionPatterns(competesWith, arg2 has surpassed arg1 0.005763686451798238)	0.005763686451798238
mbl	extractionPatterns(competesWith, arg2 has topped arg1 0.006319115709474171)	0.006319115709474171
mbl	extractionPatterns(competesWith, arg2 is ahead of arg1 0.007001170007256656)	0.007001170007256656
mbl	extractionPatterns(competesWith, arg2 is beating arg1 0.008051531155389634)	0.008051531155389634
mbl	extractionPatterns(competesWith, arg2 is competing with arg1 0.008051531155389634)	0.008051531155389634
mbl	extractionPatterns(competesWith, arg2 is copying arg1 0.005763686451798238)	0.005763686451798238
mbl	extractionPatterns(competesWith, arg2 is going after arg1 0.010033447672802183)	0.010033447672802183
mbl	extractionPatterns(competesWith, arg2 lags behind arg1 0.005780344476866247)	0.005780344476866247
mbl	extractionPatterns(competesWith, arg2 MSN and arg1 0.008051531155389634)	0.008051531155389634
mbl	extractionPatterns(competesWith, arg2 or MSN or arg1 0.021739139054112466)	0.021739139054112466
mbl	extractionPatterns(competesWith, arg2 overtakes arg1 0.005780344476866247)	0.005780344476866247
mbl	extractionPatterns(competesWith, arg2 rival arg1 0.006085192000251036)	0.006085192000251036
mbl	extractionPatterns(competesWith, arg2 should buy arg1 0.013856816518814798)	0.013856816518814798
mbl	extractionPatterns(competesWith, arg2 takeover of arg1 0.0367393827436153)	0.0367393827436153
mbl	extractionPatterns(conference, abridged version appears in _ 0.13333333607230202)	0.13333333607230202
mbl	extractionPatterns(conference, abstract published in _ 0.16666674487136082)	0.16666674487136082
mbl	extractionPatterns(conference, areas reflected in _ 0.2631579122979848)	0.2631579122979848
mbl	extractionPatterns(conference, _ attendees the opportunity 0.12499994270999265)	0.12499994270999265
mbl	extractionPatterns(conference, co-Chair for _ 0.17391301822769906)	0.17391301822769906
mbl	extractionPatterns(conference, conference co-chairs for _ 0.13333333607230202)	0.13333333607230202
mbl	extractionPatterns(conference, conference such as _ 0.059829047010233005)	0.059829047010233005
mbl	extractionPatterns(conference, Conference version appears in _ 0.42105281578387377)	0.42105281578387377
mbl	extractionPatterns(conference, earlier version appeared at _ 0.1052631366954227)	0.1052631366954227
mbl	extractionPatterns(conference, earlier version appeared in _ 0.10344822841225548)	0.10344822841225548
mbl	extractionPatterns(conference, editors attending _ 0.13333333607230202)	0.13333333607230202
mbl	extractionPatterns(conference, electronic submission procedure for _ 0.13333333607230202)	0.13333333607230202
mbl	extractionPatterns(conference, extended abstract appeared in _ 0.05405403957212513)	0.05405403957212513
mbl	extractionPatterns(conference, extended abstract appears in _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(conference, format guidelines of _ 0.2631579122979848)	0.2631579122979848
mbl	extractionPatterns(conference, general chair of _ 0.08641975357185036)	0.08641975357185036
mbl	extractionPatterns(conference, influential paper of _ 0.1052631366954227)	0.1052631366954227
mbl	extractionPatterns(conference, _ is the premiere forum 0.11764707805838637)	0.11764707805838637
mbl	extractionPatterns(conference, _ is the premier international conference 0.09090911570894615)	0.09090911570894615
mbl	extractionPatterns(conference, paper accepted at _ 0.19512185854138236)	0.19512185854138236
mbl	extractionPatterns(conference, paper award at _ 0.08552632976316965)	0.08552632976316965
mbl	extractionPatterns(conference, Paper award at _ 0.12499994270999265)	0.12499994270999265
mbl	extractionPatterns(conference, paper awards at _ 0.14705876649737298)	0.14705876649737298
mbl	extractionPatterns(conference, paper is accepted in _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(conference, practice talk for _ 0.10714288087576275)	0.10714288087576275
mbl	extractionPatterns(conference, preliminary version appeared at _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(conference, Preliminary version appeared in _ 0.07843139385133113)	0.07843139385133113
mbl	extractionPatterns(conference, preliminary version appeared in _ 0.11510793794428005)	0.11510793794428005
mbl	extractionPatterns(conference, program co-chair for _ 0.14999999773288222)	0.14999999773288222
mbl	extractionPatterns(conference, program committees for _ 0.06779661578209031)	0.06779661578209031
mbl	extractionPatterns(conference, program committees such as _ 0.13333333607230202)	0.13333333607230202
mbl	extractionPatterns(conference, satellite event of _ 0.16129036968565943)	0.16129036968565943
mbl	extractionPatterns(conference, satellite workshop of _ 0.15384618106178571)	0.15384618106178571
mbl	extractionPatterns(conference, satellite workshops of _ 0.2631579122979848)	0.2631579122979848
mbl	extractionPatterns(conference, shorter version appears in _ 0.17647059800966608)	0.17647059800966608
mbl	extractionPatterns(conference, short version appeared in _ 0.16666674487136082)	0.16666674487136082
mbl	extractionPatterns(conference, short version appears in _ 0.11764707805838637)	0.11764707805838637
mbl	extractionPatterns(conference, special track at _ 0.09523811972985817)	0.09523811972985817
mbl	extractionPatterns(conference, student volunteer at _ 0.12499994270999265)	0.12499994270999265
mbl	extractionPatterns(conference, tutorial committee for _ 0.09523811972985817)	0.09523811972985817
mbl	extractionPatterns(conference, Tutorial given at _ 0.14999999773288222)	0.14999999773288222
mbl	extractionPatterns(conference, tutorial presented at _ 0.07692310442012312)	0.07692310442012312
mbl	extractionPatterns(conference, Workshop associated with _ 0.16666674487136082)	0.16666674487136082
mbl	extractionPatterns(conference, workshop co-located with _ 0.1052631366954227)	0.1052631366954227
mbl	extractionPatterns(conference, workshops affiliated with _ 0.16666674487136082)	0.16666674487136082
mbl	extractionPatterns(country, African country of _ 0.6433959235445315)	0.6433959235445315
mbl	extractionPatterns(country, African nation of _ 0.7716979978412852)	0.7716979978412852
mbl	extractionPatterns(country, border areas with _ 0.781250060884007)	0.781250060884007
mbl	extractionPatterns(country, border into _ 0.49350662286803415)	0.49350662286803415
mbl	extractionPatterns(country, border with _ 0.5030392903022869)	0.5030392903022869
mbl	extractionPatterns(country, capital of independent _ 0.7441862049442668)	0.7441862049442668
mbl	extractionPatterns(country, countries except _ 0.656050835434554)	0.656050835434554
mbl	extractionPatterns(country, countries , including _ 0.36819963554961976)	0.36819963554961976
mbl	extractionPatterns(country, countries , like _ 0.4775950888184796)	0.4775950888184796
mbl	extractionPatterns(country, countries other than _ 0.500850813343178)	0.500850813343178
mbl	extractionPatterns(country, country like _ 0.31009114766312)	0.31009114766312
mbl	extractionPatterns(country, Cup qualifier against _ 0.8017238957727875)	0.8017238957727875
mbl	extractionPatterns(country, current conflict in _ 0.7230043790965599)	0.7230043790965599
mbl	extractionPatterns(country, DHL activities in _ 0.7802194911293168)	0.7802194911293168
mbl	extractionPatterns(country, diplomatic relations with _ 0.49643883273233447)	0.49643883273233447
mbl	extractionPatterns(country, embargo against _ 0.6428569836079735)	0.6428569836079735
mbl	extractionPatterns(country, Flickr photographs from _ 0.7721518896951434)	0.7721518896951434
mbl	extractionPatterns(country, _ has a multi-party system 0.7301589710399148)	0.7301589710399148
mbl	extractionPatterns(country, home country of _ 0.6501728684433271)	0.6501728684433271
mbl	extractionPatterns(country, imports from _ 0.3060468757611587)	0.3060468757611587
mbl	extractionPatterns(country, international SIM card for _ 0.9102563644234322)	0.9102563644234322
mbl	extractionPatterns(country, invasion of _ 0.4502825519671206)	0.4502825519671206
mbl	extractionPatterns(country, Israel invaded _ 0.7512956722292206)	0.7512956722292206
mbl	extractionPatterns(country, _ is the first country 0.7241382150870928)	0.7241382150870928
mbl	extractionPatterns(country, _ is the only country 0.4707458157312711)	0.4707458157312711
mbl	extractionPatterns(country, leisure hotels across _ 0.7530866385240661)	0.7530866385240661
mbl	extractionPatterns(country, locations Addresses in _ 0.8105266965317525)	0.8105266965317525
mbl	extractionPatterns(country, major combat operations in _ 0.7647058721018136)	0.7647058721018136
mbl	extractionPatterns(country, merchant acceptability in _ 0.933333213387829)	0.933333213387829
mbl	extractionPatterns(country, national airline of _ 0.7891569935865692)	0.7891569935865692
mbl	extractionPatterns(country, nations like _ 0.6596710350252506)	0.6596710350252506
mbl	extractionPatterns(country, nations such as _ 0.4886108080289788)	0.4886108080289788
mbl	extractionPatterns(country, nations , such as _ 0.6500955024753488)	0.6500955024753488
mbl	extractionPatterns(country, Occupation of _ 0.7500000543388377)	0.7500000543388377
mbl	extractionPatterns(country, Oficies in _ 0.8163264032626143)	0.8163264032626143
mbl	extractionPatterns(country, Peace Corps volunteer in _ 0.7235417709665861)	0.7235417709665861
mbl	extractionPatterns(country, prime minister of _ 0.5286456078902192)	0.5286456078902192
mbl	extractionPatterns(country, several international movers in _ 0.7187497749382623)	0.7187497749382623
mbl	extractionPatterns(country, Several leading car hire companies operates in _ 0.9473686306771265)	0.9473686306771265
mbl	extractionPatterns(country, _ showing the main settlements 0.7857143303561276)	0.7857143303561276
mbl	extractionPatterns(country, specific human rights concerns in _ 0.7608698201084958)	0.7608698201084958
mbl	extractionPatterns(country, Tourist offices in _ 0.8192770286529365)	0.8192770286529365
mbl	extractionPatterns(country, _ travel services 0.7607762388759863)	0.7607762388759863
mbl	extractionPatterns(country, troops from _ 0.28305218472970584)	0.28305218472970584
mbl	extractionPatterns(country, troops out of _ 0.6394985022692456)	0.6394985022692456
mbl	extractionPatterns(country, troop withdrawal from _ 0.8578946264771491)	0.8578946264771491
mbl	extractionPatterns(country, troop withdrawals from _ 0.8770493647462038)	0.8770493647462038
mbl	extractionPatterns(country, war in _ 0.4040163223421962)	0.4040163223421962
mbl	extractionPatterns(country, _ was the first country 0.641059501702893)	0.641059501702893
mbl	extractionPatterns(country, WorldWide florist in _ 0.9500002796682142)	0.9500002796682142
mbl	extractionPatterns(economicSector, additional layer of _ 0.20982509001772365)	0.20982509001772365
mbl	extractionPatterns(economicSector, additional level of _ 0.1321462520058432)	0.1321462520058432
mbl	extractionPatterns(economicSector, advent of _ 0.06129806515978602)	0.06129806515978602
mbl	extractionPatterns(economicSector, amounts of spatial _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(economicSector, _ are being developed every day 0.0869565248147135)	0.0869565248147135
mbl	extractionPatterns(economicSector, _ are provided at 0.09547011618440616)	0.09547011618440616
mbl	extractionPatterns(economicSector, _ are provided by 0.06789085071241997)	0.06789085071241997
mbl	extractionPatterns(economicSector, _ are provided on 0.05987285790547589)	0.05987285790547589
mbl	extractionPatterns(economicSector, comprehensive range of _ 0.1503195375978909)	0.1503195375978909
mbl	extractionPatterns(economicSector, diverse industries as _ 0.10679608611402294)	0.10679608611402294
mbl	extractionPatterns(economicSector, educational potential of _ 0.12068963845582427)	0.12068963845582427
mbl	extractionPatterns(economicSector, enhanced level of _ 0.10752692474831077)	0.10752692474831077
mbl	extractionPatterns(economicSector, extra layer of _ 0.13276349058911432)	0.13276349058911432
mbl	extractionPatterns(economicSector, extra level of _ 0.19628433150781124)	0.19628433150781124
mbl	extractionPatterns(economicSector, firm providing _ 0.15633939905989216)	0.15633939905989216
mbl	extractionPatterns(economicSector, frame of _ 0.2415279687417578)	0.2415279687417578
mbl	extractionPatterns(economicSector, full range of _ 0.09617613779004308)	0.09617613779004308
mbl	extractionPatterns(economicSector, _ including economic overview 0.22689067169660743)	0.22689067169660743
mbl	extractionPatterns(economicSector, industries , from _ 0.08661415708868203)	0.08661415708868203
mbl	extractionPatterns(economicSector, industries include _ 0.11504430085187464)	0.11504430085187464
mbl	extractionPatterns(economicSector, industries including _ 0.08381628153267318)	0.08381628153267318
mbl	extractionPatterns(economicSector, industries ranging from _ 0.10030397035520977)	0.10030397035520977
mbl	extractionPatterns(economicSector, industry sectors including _ 0.1370968045671804)	0.1370968045671804
mbl	extractionPatterns(economicSector, information , statistical _ 0.2592591858756811)	0.2592591858756811
mbl	extractionPatterns(economicSector, level of online _ 0.20091326127635958)	0.20091326127635958
mbl	extractionPatterns(economicSector, note for future _ 0.33802818479775915)	0.33802818479775915
mbl	extractionPatterns(economicSector, number of clinical _ 0.2970000416332958)	0.2970000416332958
mbl	extractionPatterns(economicSector, _ obtained in 0.11654020013049235)	0.11654020013049235
mbl	extractionPatterns(economicSector, _ obtained with 0.20188056879973532)	0.20188056879973532
mbl	extractionPatterns(economicSector, _ offered by 0.09061269086230621)	0.09061269086230621
mbl	extractionPatterns(economicSector, _ offered on 0.14056672386293625)	0.14056672386293625
mbl	extractionPatterns(economicSector, _ offered through 0.10481283953002717)	0.10481283953002717
mbl	extractionPatterns(economicSector, _ provided by 0.06879590886379021)	0.06879590886379021
mbl	extractionPatterns(economicSector, range of emotional _ 0.11139899200042984)	0.11139899200042984
mbl	extractionPatterns(economicSector, range of medical _ 0.22820817918923625)	0.22820817918923625
mbl	extractionPatterns(economicSector, resources on _ 0.07057876208953329)	0.07057876208953329
mbl	extractionPatterns(economicSector, sectors include _ 0.12727273187709287)	0.12727273187709287
mbl	extractionPatterns(economicSector, sectors , including _ 0.10384955642228996)	0.10384955642228996
mbl	extractionPatterns(economicSector, sectors like _ 0.11428568004223633)	0.11428568004223633
mbl	extractionPatterns(economicSector, sectors such as _ 0.08829674809204927)	0.08829674809204927
mbl	extractionPatterns(economicSector, sectors , such as _ 0.0883881825354868)	0.0883881825354868
mbl	extractionPatterns(economicSector, sources of biological _ 0.19642865352331296)	0.19642865352331296
mbl	extractionPatterns(economicSector, third party personal _ 0.4814812448539952)	0.4814812448539952
mbl	extractionPatterns(economicSector, value added _ 0.20407963370705115)	0.20407963370705115
mbl	extractionPatterns(economicSector, vertical markets including _ 0.09482757846024115)	0.09482757846024115
mbl	extractionPatterns(economicSector, verticals such as _ 0.0970873684694753)	0.0970873684694753
mbl	extractionPatterns(economicSector, _ were published in 0.060041217156238426)	0.060041217156238426
mbl	extractionPatterns(emotion, cause of great _ 0.22043002089982686)	0.22043002089982686
mbl	extractionPatterns(emotion, deep feelings of _ 0.19075145138747326)	0.19075145138747326
mbl	extractionPatterns(emotion, emotion like _ 0.22099438169104507)	0.22099438169104507
mbl	extractionPatterns(emotion, emotions , from _ 0.25624993556069736)	0.25624993556069736
mbl	extractionPatterns(emotion, emotions including _ 0.2762431010601326)	0.2762431010601326
mbl	extractionPatterns(emotion, emotions , like _ 0.26519337556453526)	0.26519337556453526
mbl	extractionPatterns(emotion, emotions ranging from _ 0.21818171682427168)	0.21818171682427168
mbl	extractionPatterns(emotion, emotion such as _ 0.29281771402666673)	0.29281771402666673
mbl	extractionPatterns(emotion, exclamations of _ 0.2391713591666392)	0.2391713591666392
mbl	extractionPatterns(emotion, expression of _ 1.5363769273022065)	1.5363769273022065
mbl	extractionPatterns(emotion, feeling of absolute _ 0.19047620506734006)	0.19047620506734006
mbl	extractionPatterns(emotion, feeling of extreme _ 0.19387764786307007)	0.19387764786307007
mbl	extractionPatterns(emotion, feeling of intense _ 0.23076924664463755)	0.23076924664463755
mbl	extractionPatterns(emotion, feelings , including _ 0.2558139132987732)	0.2558139132987732
mbl	extractionPatterns(emotion, feelings of extreme _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(emotion, feelings of great _ 0.28225792454879933)	0.28225792454879933
mbl	extractionPatterns(emotion, feelings such as _ 0.2639087182052916)	0.2639087182052916
mbl	extractionPatterns(emotion, feelings , such as _ 0.29281771402666673)	0.29281771402666673
mbl	extractionPatterns(emotion, heart filled with _ 0.17398642500913267)	0.17398642500913267
mbl	extractionPatterns(emotion, heart is filled with _ 0.20925555976528668)	0.20925555976528668
mbl	extractionPatterns(emotion, hearts are filled with _ 0.24576266135506053)	0.24576266135506053
mbl	extractionPatterns(emotion, heart was filled with _ 0.19117653706309112)	0.19117653706309112
mbl	extractionPatterns(emotion, intense feelings of _ 0.19957982447465042)	0.19957982447465042
mbl	extractionPatterns(emotion, _ is an emotion 0.2068473908260111)	0.2068473908260111
mbl	extractionPatterns(emotion, _ is a powerful emotion 0.20408167451359224)	0.20408167451359224
mbl	extractionPatterns(emotion, _ knew no bounds 0.1865080271137686)	0.1865080271137686
mbl	extractionPatterns(emotion, look of pure _ 0.2880794410220706)	0.2880794410220706
mbl	extractionPatterns(emotion, mixed feelings of _ 0.2473685374272384)	0.2473685374272384
mbl	extractionPatterns(emotion, moments of pure _ 0.2671481247680895)	0.2671481247680895
mbl	extractionPatterns(emotion, negative feelings of _ 0.20161285095501402)	0.20161285095501402
mbl	extractionPatterns(emotion, nod of _ 0.20828915425034608)	0.20828915425034608
mbl	extractionPatterns(emotion, outbursts of _ 0.21776320982325542)	0.21776320982325542
mbl	extractionPatterns(emotion, overwhelming feeling of _ 0.17818178246633556)	0.17818178246633556
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mbl	extractionPatterns(emotion, own feelings of _ 0.18386490555072582)	0.18386490555072582
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mbl	extractionPatterns(kitchenItem, trays , plastic _ 0.29999994129778657)	0.29999994129778657
mbl	extractionPatterns(kitchenItem, utensils such as _ 0.2903224723980957)	0.2903224723980957
mbl	extractionPatterns(kitchenItem, vases , decorative _ 0.20833331623205179)	0.20833331623205179
mbl	extractionPatterns(mammal, antelope , black _ 0.7407404388521638)	0.7407404388521638
mbl	extractionPatterns(mammal, _ are herd animals 0.2477876870711607)	0.2477876870711607
mbl	extractionPatterns(mammal, _ are induced ovulators 0.309523890254387)	0.309523890254387
mbl	extractionPatterns(mammal, _ are intelligent animals 0.23611105797663468)	0.23611105797663468
mbl	extractionPatterns(mammal, _ are mammals 0.24418601196665102)	0.24418601196665102
mbl	extractionPatterns(mammal, _ are prey animals 0.24545466812983385)	0.24545466812983385
mbl	extractionPatterns(mammal, _ are the only mammals 0.25757586008325617)	0.25757586008325617
mbl	extractionPatterns(mammal, baby polar _ 0.821428813130723)	0.821428813130723
mbl	extractionPatterns(mammal, bear , black _ 0.884615669543263)	0.884615669543263
mbl	extractionPatterns(mammal, bear , brown _ 0.6400000656821918)	0.6400000656821918
mbl	extractionPatterns(mammal, bear , grizzly _ 0.8888889205834525)	0.8888889205834525
mbl	extractionPatterns(mammal, breeds of domestic _ 0.3103449059949165)	0.3103449059949165
mbl	extractionPatterns(mammal, caribou , black _ 0.7878788063506048)	0.7878788063506048
mbl	extractionPatterns(mammal, conservation of large _ 0.309523890254387)	0.309523890254387
mbl	extractionPatterns(mammal, deer , black _ 0.888111482956506)	0.888111482956506
mbl	extractionPatterns(mammal, different breeds of _ 0.4867726999840435)	0.4867726999840435
mbl	extractionPatterns(mammal, eagles , black _ 0.7317070866162454)	0.7317070866162454
mbl	extractionPatterns(mammal, favorite animals are _ 0.30275239068962934)	0.30275239068962934
mbl	extractionPatterns(mammal, goats , black _ 0.6666667387387801)	0.6666667387387801
mbl	extractionPatterns(mammal, habitat for black _ 0.7352938968735336)	0.7352938968735336
mbl	extractionPatterns(mammal, herd of wild _ 0.40303011209021705)	0.40303011209021705
mbl	extractionPatterns(mammal, herds of wild _ 0.3667818580070845)	0.3667818580070845
mbl	extractionPatterns(mammal, _ immunized with 0.34156372983600414)	0.34156372983600414
mbl	extractionPatterns(mammal, importation of live _ 0.2739726486560039)	0.2739726486560039
mbl	extractionPatterns(mammal, large animals such as _ 0.24000008535365014)	0.24000008535365014
mbl	extractionPatterns(mammal, lion , black _ 0.6538462806696093)	0.6538462806696093
mbl	extractionPatterns(mammal, many animals including _ 0.2564101418296668)	0.2564101418296668
mbl	extractionPatterns(mammal, _ needing homes 0.2918033974160871)	0.2918033974160871
mbl	extractionPatterns(mammal, other animals including _ 0.2477876870711607)	0.2477876870711607
mbl	extractionPatterns(mammal, other animals , like _ 0.24000008535365014)	0.24000008535365014
mbl	extractionPatterns(mammal, other animals such as _ 0.22789119017856352)	0.22789119017856352
mbl	extractionPatterns(mammal, other animals , such as _ 0.24260346495249666)	0.24260346495249666
mbl	extractionPatterns(mammal, other breeds of _ 0.4638008599605326)	0.4638008599605326
mbl	extractionPatterns(mammal, people , other _ 0.20087328351528475)	0.20087328351528475
mbl	extractionPatterns(mammal, pets , including _ 0.1877828569351458)	0.1877828569351458
mbl	extractionPatterns(mammal, pets including _ 0.28699542618130813)	0.28699542618130813
mbl	extractionPatterns(mammal, pets like _ 0.21493212465006775)	0.21493212465006775
mbl	extractionPatterns(mammal, pets such as _ 0.37104089252848615)	0.37104089252848615
mbl	extractionPatterns(mammal, pets , such as _ 0.4324325147694968)	0.4324325147694968
mbl	extractionPatterns(mammal, sheep , black _ 0.8222218745259742)	0.8222218745259742
mbl	extractionPatterns(mammal, sightings of black _ 0.6400000656821918)	0.6400000656821918
mbl	extractionPatterns(mammal, small animals like _ 0.33566420789440743)	0.33566420789440743
mbl	extractionPatterns(mammal, small animals , such as _ 0.25688082951846103)	0.25688082951846103
mbl	extractionPatterns(mammal, small animals such as _ 0.321266911935874)	0.321266911935874
mbl	extractionPatterns(mammal, smaller breeds of _ 0.47727282091118195)	0.47727282091118195
mbl	extractionPatterns(mammal, small game such as _ 0.38636374835580634)	0.38636374835580634
mbl	extractionPatterns(mammal, trophy black _ 0.6800003269522281)	0.6800003269522281
mbl	extractionPatterns(mammal, viral disease of _ 0.23913046436082722)	0.23913046436082722
mbl	extractionPatterns(mammal, walrus , polar _ 0.7037036240711113)	0.7037036240711113
mbl	extractionPatterns(mammal, _ were immunized with 0.40476201575862447)	0.40476201575862447
mbl	extractionPatterns(movie, Australia filming _ 0.2631579122979848)	0.2631579122979848
mbl	extractionPatterns(movie, Blair Witch Project meets _ 0.42105281578387377)	0.42105281578387377
mbl	extractionPatterns(movie, blockbusters like _ 0.05405403957212513)	0.05405403957212513
mbl	extractionPatterns(movie, blockbusters such as _ 0.0869565248147135)	0.0869565248147135
mbl	extractionPatterns(movie, book characters like _ 0.2105262353782364)	0.2105262353782364
mbl	extractionPatterns(movie, Christmas production of _ 0.1578946879734282)	0.1578946879734282
mbl	extractionPatterns(movie, classic films such as _ 0.32000009062028956)	0.32000009062028956
mbl	extractionPatterns(movie, classic scene from _ 0.2592591858756811)	0.2592591858756811
mbl	extractionPatterns(movie, comic book adventures of _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(movie, community production of _ 0.2727272683991621)	0.2727272683991621
mbl	extractionPatterns(movie, Dead meets _ 0.20833331623205179)	0.20833331623205179
mbl	extractionPatterns(movie, Disney movie is _ 0.2105262353782364)	0.2105262353782364
mbl	extractionPatterns(movie, Edition re-release of _ 0.1578946879734282)	0.1578946879734282
mbl	extractionPatterns(movie, extinct following _ 0.2105262353782364)	0.2105262353782364
mbl	extractionPatterns(movie, fairy tales , including _ 0.2105262353782364)	0.2105262353782364
mbl	extractionPatterns(movie, favorite fairy tale is _ 0.2631579122979848)	0.2631579122979848
mbl	extractionPatterns(movie, favorite movie is _ 0.13152399138668397)	0.13152399138668397
mbl	extractionPatterns(movie, favorite movies are _ 0.09016391386298388)	0.09016391386298388
mbl	extractionPatterns(movie, favorite movie was _ 0.15909098622821494)	0.15909098622821494
mbl	extractionPatterns(movie, favorite superhero is _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(movie, favourite movie is _ 0.18032779516598796)	0.18032779516598796
mbl	extractionPatterns(movie, film classic _ 0.2750000498617851)	0.2750000498617851
mbl	extractionPatterns(movie, films , like _ 0.16803281353338187)	0.16803281353338187
mbl	extractionPatterns(movie, high school production of _ 0.20370365761898562)	0.20370365761898562
mbl	extractionPatterns(movie, iconic characters as _ 0.47619064034735087)	0.47619064034735087
mbl	extractionPatterns(movie, issue is reprinted in _ 0.22222231039474505)	0.22222231039474505
mbl	extractionPatterns(movie, little film called _ 0.06249998263998874)	0.06249998263998874
mbl	extractionPatterns(movie, Marvel characters such as _ 0.23809512506891317)	0.23809512506891317
mbl	extractionPatterns(movie, midnight showing of _ 0.12307688962656467)	0.12307688962656467
mbl	extractionPatterns(movie, original theatrical release of _ 0.24000008535365014)	0.24000008535365014
mbl	extractionPatterns(movie, Parker becomes _ 0.2631579122979848)	0.2631579122979848
mbl	extractionPatterns(movie, Park meets _ 0.05000001367770143)	0.05000001367770143
mbl	extractionPatterns(movie, persons avoid _ 0.2105262353782364)	0.2105262353782364
mbl	extractionPatterns(movie, Play version of _ 0.31578931892794915)	0.31578931892794915
mbl	extractionPatterns(movie, Production begins on _ 0.1724137788883409)	0.1724137788883409
mbl	extractionPatterns(movie, _ requires no professional experience 0.2105262353782364)	0.2105262353782364
mbl	extractionPatterns(movie, Stan Lee created _ 0.2105262353782364)	0.2105262353782364
mbl	extractionPatterns(movie, superheroes , including _ 0.22499997227498802)	0.22499997227498802
mbl	extractionPatterns(movie, superheroes including _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(movie, super heroes like _ 0.2105262353782364)	0.2105262353782364
mbl	extractionPatterns(movie, superheroes , like _ 0.2631579122979848)	0.2631579122979848
mbl	extractionPatterns(movie, superheroes like _ 0.3442624418926158)	0.3442624418926158
mbl	extractionPatterns(movie, superheroes such as _ 0.3250000314120314)	0.3250000314120314
mbl	extractionPatterns(movie, superhero like _ 0.20689662636382428)	0.20689662636382428
mbl	extractionPatterns(movie, superheros like _ 0.2631579122979848)	0.2631579122979848
mbl	extractionPatterns(movie, tales such as _ 0.11538464415616194)	0.11538464415616194
mbl	extractionPatterns(movie, team-up between _ 0.2857142767129624)	0.2857142767129624
mbl	extractionPatterns(movie, theater production of _ 0.1704544795527394)	0.1704544795527394
mbl	extractionPatterns(movie, theme music from _ 0.05645163641813445)	0.05645163641813445
mbl	extractionPatterns(movie, third installments of _ 0.16000007419974682)	0.16000007419974682
mbl	extractionPatterns(newspaperCompany, affairs columnist for _ 0.45161284671543667)	0.45161284671543667
mbl	extractionPatterns(newspaperCompany, affairs editor of _ 0.5357144512891294)	0.5357144512891294
mbl	extractionPatterns(newspaperCompany, architecture critic for _ 0.5238096101988442)	0.5238096101988442
mbl	extractionPatterns(newspaperCompany, architecture critic of _ 0.48275837948961253)	0.48275837948961253
mbl	extractionPatterns(newspaperCompany, article last week in _ 0.47826084236689514)	0.47826084236689514
mbl	extractionPatterns(newspaperCompany, commentary has appeared in _ 0.5161292811589581)	0.5161292811589581
mbl	extractionPatterns(newspaperCompany, copyboy at _ 0.5454544383110917)	0.5454544383110917
mbl	extractionPatterns(newspaperCompany, deputy managing editor of _ 0.5952379722709458)	0.5952379722709458
mbl	extractionPatterns(newspaperCompany, editorial page of _ 0.3198529244294232)	0.3198529244294232
mbl	extractionPatterns(newspaperCompany, editorials have appeared in _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(newspaperCompany, editorial writers of _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(newspaperCompany, education writer for _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(newspaperCompany, former foreign correspondent for _ 0.5172411873539653)	0.5172411873539653
mbl	extractionPatterns(newspaperCompany, former staff writer for _ 0.5217389040736923)	0.5217389040736923
mbl	extractionPatterns(newspaperCompany, full-page advertisement in _ 0.44318189279084536)	0.44318189279084536
mbl	extractionPatterns(newspaperCompany, _ has daily readership 0.48275837948961253)	0.48275837948961253
mbl	extractionPatterns(newspaperCompany, leader writer for _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(newspaperCompany, mainstream publications like _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(newspaperCompany, major newspapers including _ 0.47222203068887764)	0.47222203068887764
mbl	extractionPatterns(newspaperCompany, Middle East editor for _ 0.4800000840385036)	0.4800000840385036
mbl	extractionPatterns(newspaperCompany, music critic at _ 0.4864865617693322)	0.4864865617693322
mbl	extractionPatterns(newspaperCompany, national newspapers including _ 0.5277777562917705)	0.5277777562917705
mbl	extractionPatterns(newspaperCompany, national publications , including _ 0.32203404796692126)	0.32203404796692126
mbl	extractionPatterns(newspaperCompany, op-ed article for _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(newspaperCompany, op-ed column for _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(newspaperCompany, op-ed columnist for _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(newspaperCompany, op ed in _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(newspaperCompany, Op-Ed page of _ 0.47619064034735087)	0.47619064034735087
mbl	extractionPatterns(newspaperCompany, op-ed page of _ 0.48484840689779973)	0.48484840689779973
mbl	extractionPatterns(newspaperCompany, op-ed pages of _ 0.39080443904953055)	0.39080443904953055
mbl	extractionPatterns(newspaperCompany, op-ed piece for _ 0.4142858849975161)	0.4142858849975161
mbl	extractionPatterns(newspaperCompany, op-ed piece in _ 0.3500000435745399)	0.3500000435745399
mbl	extractionPatterns(newspaperCompany, Op-Ed piece in _ 0.5555553693900973)	0.5555553693900973
mbl	extractionPatterns(newspaperCompany, op-ed published in _ 0.48571414846757255)	0.48571414846757255
mbl	extractionPatterns(newspaperCompany, op-ed today in _ 0.48275837948961253)	0.48275837948961253
mbl	extractionPatterns(newspaperCompany, opinion article in _ 0.47222203068887764)	0.47222203068887764
mbl	extractionPatterns(newspaperCompany, opinion piece published in _ 0.5600002773417163)	0.5600002773417163
mbl	extractionPatterns(newspaperCompany, Peer group comparison for _ 0.43548366151780177)	0.43548366151780177
mbl	extractionPatterns(newspaperCompany, pieces have appeared in _ 0.45631085598469556)	0.45631085598469556
mbl	extractionPatterns(newspaperCompany, _ ran an article today 0.4814812448539952)	0.4814812448539952
mbl	extractionPatterns(newspaperCompany, rate published in _ 0.4814812448539952)	0.4814812448539952
mbl	extractionPatterns(newspaperCompany, Read article in _ 0.4800000840385036)	0.4800000840385036
mbl	extractionPatterns(newspaperCompany, recent opinion piece in _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(newspaperCompany, religion writer for _ 0.5238096101988442)	0.5238096101988442
mbl	extractionPatterns(newspaperCompany, restaurant critic of _ 0.47619064034735087)	0.47619064034735087
mbl	extractionPatterns(newspaperCompany, science reporter for _ 0.4142858849975161)	0.4142858849975161
mbl	extractionPatterns(newspaperCompany, several newspapers including _ 0.48275837948961253)	0.48275837948961253
mbl	extractionPatterns(newspaperCompany, technology columnist for _ 0.532467721573078)	0.532467721573078
mbl	extractionPatterns(newspaperCompany, technology reporter for _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(newspaperCompany, Washington bureau chief of _ 0.44444454054060095)	0.44444454054060095
mbl	extractionPatterns(politician, _ becomes the Democratic nominee 0.35294113229229485)	0.35294113229229485
mbl	extractionPatterns(politician, better president than _ 0.38323342909973457)	0.38323342909973457
mbl	extractionPatterns(politician, candidate except _ 0.21538460252192804)	0.21538460252192804
mbl	extractionPatterns(politician, Clinton defeated _ 0.44117661331500163)	0.44117661331500163
mbl	extractionPatterns(politician, _ criticized Democrats 0.37735835471630025)	0.37735835471630025
mbl	extractionPatterns(politician, delegates than _ 0.3387533559411349)	0.3387533559411349
mbl	extractionPatterns(politician, Democratic debate between _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(politician, Democratic leaders like _ 0.2580644291110625)	0.2580644291110625
mbl	extractionPatterns(politician, Democratic race between _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(politician, D-point lead over _ 0.3409092384600494)	0.3409092384600494
mbl	extractionPatterns(politician, Edwards endorses _ 0.6176471124925761)	0.6176471124925761
mbl	extractionPatterns(politician, _ forged close ties 0.21818171682427168)	0.21818171682427168
mbl	extractionPatterns(politician, _ gets the Democratic nomination 0.40277789419248705)	0.40277789419248705
mbl	extractionPatterns(politician, _ greets supporters 0.2641508334927792)	0.2641508334927792
mbl	extractionPatterns(politician, House hopefuls _ 0.23636359565495155)	0.23636359565495155
mbl	extractionPatterns(politician, _ is that candidate 0.2173913703250207)	0.2173913703250207
mbl	extractionPatterns(politician, _ is that leader 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(politician, _ is the better candidate 0.41071448072393896)	0.41071448072393896
mbl	extractionPatterns(politician, _ is the Democratic candidate 0.40206198930492654)	0.40206198930492654
mbl	extractionPatterns(politician, _ is the Democratic nominee 0.41363638011378007)	0.41363638011378007
mbl	extractionPatterns(politician, _ is the nominee 0.3792532846049867)	0.3792532846049867
mbl	extractionPatterns(politician, _ is the only candidate 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(politician, _ is the ONLY candidate 0.3092782258272089)	0.3092782258272089
mbl	extractionPatterns(politician, _ is the only major candidate 0.2580644291110625)	0.2580644291110625
mbl	extractionPatterns(politician, _ is the only presidential candidate 0.2777777348505767)	0.2777777348505767
mbl	extractionPatterns(politician, Kennedy endorsed _ 0.21186436432150085)	0.21186436432150085
mbl	extractionPatterns(politician, Kerry endorsed _ 0.5609755260446071)	0.5609755260446071
mbl	extractionPatterns(politician, Labour government under _ 0.5555553693900973)	0.5555553693900973
mbl	extractionPatterns(politician, lead over rival _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(politician, _ leads among 0.3674419250101948)	0.3674419250101948
mbl	extractionPatterns(politician, national lead over _ 0.4117647861768502)	0.4117647861768502
mbl	extractionPatterns(politician, NBC News declares _ 0.23076924664463755)	0.23076924664463755
mbl	extractionPatterns(politician, nomination battle between _ 0.2903224723980957)	0.2903224723980957
mbl	extractionPatterns(politician, polls behind _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(politician, possible running mate for _ 0.39393947430498594)	0.39393947430498594
mbl	extractionPatterns(politician, presidential campaigns of _ 0.24358970644794997)	0.24358970644794997
mbl	extractionPatterns(politician, presidential candidacy of _ 0.3090908599999372)	0.3090908599999372
mbl	extractionPatterns(politician, presidential candidates like _ 0.2564101418296668)	0.2564101418296668
mbl	extractionPatterns(politician, presidential race between _ 0.3823530050885383)	0.3823530050885383
mbl	extractionPatterns(politician, presidents named _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(politician, Republican version of _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(politician, Ronald Reagan defeated _ 0.2564101418296668)	0.2564101418296668
mbl	extractionPatterns(politician, state voted for _ 0.3421051955116655)	0.3421051955116655
mbl	extractionPatterns(politician, today endorsed _ 0.27083323947507054)	0.27083323947507054
mbl	extractionPatterns(politician, _ traded victories 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(politician, Tuesday endorsed _ 0.2903224723980957)	0.2903224723980957
mbl	extractionPatterns(politician, virtual dead heat with _ 0.39393947430498594)	0.39393947430498594
mbl	extractionPatterns(politician, voters went for _ 0.35555547289975664)	0.35555547289975664
mbl	extractionPatterns(politician, WebMD asked _ 0.2903224723980957)	0.2903224723980957
mbl	extractionPatterns(politician, _ wins the Democratic nomination 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(producesProduct, arg1 and its arg2 1.52581159962769E-5)	1.52581159962769E-5
mbl	extractionPatterns(producesProduct, arg1 came out with arg2 5.480955088388792E-4)	5.480955088388792E-4
mbl	extractionPatterns(producesProduct, arg1 did with the original arg2 3.2185384917703607E-4)	3.2185384917703607E-4
mbl	extractionPatterns(producesProduct, arg1 for its arg2 1.0478741208273164E-5)	1.0478741208273164E-5
mbl	extractionPatterns(producesProduct, arg1 for making arg2 4.457189743011641E-5)	4.457189743011641E-5
mbl	extractionPatterns(producesProduct, arg1 for use in arg2 3.803293739943179E-5)	3.803293739943179E-5
mbl	extractionPatterns(producesProduct, arg1 has created arg2 4.706546749732376E-5)	4.706546749732376E-5
mbl	extractionPatterns(producesProduct, arg1 has released a new arg2 0.002583978534960798)	0.002583978534960798
mbl	extractionPatterns(producesProduct, arg1 introduced arg2 3.27377047781683E-4)	3.27377047781683E-4
mbl	extractionPatterns(producesProduct, arg1 introduced its arg2 0.0032299746179443875)	0.0032299746179443875
mbl	extractionPatterns(producesProduct, arg1 is best known for its arg2 0.0010542960351872337)	0.0010542960351872337
mbl	extractionPatterns(producesProduct, arg1 launched arg2 3.531385800585639E-4)	3.531385800585639E-4
mbl	extractionPatterns(producesProduct, arg1 launched its arg2 9.088840769745457E-4)	9.088840769745457E-4
mbl	extractionPatterns(producesProduct, arg1 launched their arg2 3.7871599020908135E-4)	3.7871599020908135E-4
mbl	extractionPatterns(producesProduct, arg1 launched the new arg2 0.0015814438818138453)	0.0015814438818138453
mbl	extractionPatterns(producesProduct, arg1 launches arg2 1.2892419009920722E-4)	1.2892419009920722E-4
mbl	extractionPatterns(producesProduct, arg1 launches the arg2 3.7871599020908135E-4)	3.7871599020908135E-4
mbl	extractionPatterns(producesProduct, arg1 logo and arg2 3.7871599020908135E-4)	3.7871599020908135E-4
mbl	extractionPatterns(producesProduct, arg1 models such as arg2 0.0015814438818138453)	0.0015814438818138453
mbl	extractionPatterns(producesProduct, arg1 offers their arg2 3.7871599020908135E-4)	3.7871599020908135E-4
mbl	extractionPatterns(producesProduct, arg1 opens up arg2 3.2185384917703607E-4)	3.2185384917703607E-4
mbl	extractionPatterns(producesProduct, arg1 produced arg2 2.2846948372051078E-5)	2.2846948372051078E-5
mbl	extractionPatterns(producesProduct, arg1 produces arg2 3.427045312360035E-5)	3.427045312360035E-5
mbl	extractionPatterns(producesProduct, arg1 products including arg2 1.7744657149891663E-4)	1.7744657149891663E-4
mbl	extractionPatterns(producesProduct, arg1 products like arg2 9.000898196576524E-4)	9.000898196576524E-4
mbl	extractionPatterns(producesProduct, arg1 promoted arg2 3.2185384917703607E-4)	3.2185384917703607E-4
mbl	extractionPatterns(producesProduct, arg1 released arg2 3.0867858512983825E-4)	3.0867858512983825E-4
mbl	extractionPatterns(producesProduct, arg1 released the arg2 0.0012288788860495207)	0.0012288788860495207
mbl	extractionPatterns(producesProduct, arg1 releasing a new arg2 1.7744657149891663E-4)	1.7744657149891663E-4
mbl	extractionPatterns(producesProduct, arg1 s arg2 2.0855974729614086E-4)	2.0855974729614086E-4
mbl	extractionPatterns(producesProduct, arg1 sold arg2 4.706546749732376E-5)	4.706546749732376E-5
mbl	extractionPatterns(producesProduct, arg1 to stop selling arg2 1.2892419009920722E-4)	1.2892419009920722E-4
mbl	extractionPatterns(producesProduct, arg1 unleashed arg2 0.0015814438818138453)	0.0015814438818138453
mbl	extractionPatterns(producesProduct, arg1 unveils arg2 8.221431743779249E-4)	8.221431743779249E-4
mbl	extractionPatterns(producesProduct, arg1 with its arg2 3.0212131770320334E-5)	3.0212131770320334E-5
mbl	extractionPatterns(producesProduct, arg1 with their arg2 1.250753869306236E-5)	1.250753869306236E-5
mbl	extractionPatterns(producesProduct, arg2 are registered trademarks of arg1 9.267840271159735E-4)	9.267840271159735E-4
mbl	extractionPatterns(producesProduct, arg2 are trademarks of arg1 0.002126980309950245)	0.002126980309950245
mbl	extractionPatterns(producesProduct, arg2 back from arg1 1.7827433254854658E-4)	1.7827433254854658E-4
mbl	extractionPatterns(producesProduct, arg2 division at arg1 0.002583978534960798)	0.002583978534960798
mbl	extractionPatterns(producesProduct, arg2 has been for arg1 1.2892419009920722E-4)	1.2892419009920722E-4
mbl	extractionPatterns(producesProduct, arg2 is a registered trademark of arg1 4.282043598726774E-4)	4.282043598726774E-4
mbl	extractionPatterns(producesProduct, arg2 maker arg1 1.7733109137373006E-4)	1.7733109137373006E-4
mbl	extractionPatterns(producesProduct, arg2 manufacturer arg1 1.6543503135623094E-4)	1.6543503135623094E-4
mbl	extractionPatterns(producesProduct, arg2 video game console from arg1 4.706546749732376E-5)	4.706546749732376E-5
mbl	extractionPatterns(producesProduct, arg2 video game system from arg1 0.0051679561367956334)	0.0051679561367956334
mbl	extractionPatterns(product, anti spyware for _ 0.10000000929940499)	0.10000000929940499
mbl	extractionPatterns(product, antivirus software for _ 0.17194562257047935)	0.17194562257047935
mbl	extractionPatterns(product, apple s _ 0.3857676630246398)	0.3857676630246398
mbl	extractionPatterns(product, _ based computers 0.12013538065296153)	0.12013538065296153
mbl	extractionPatterns(product, _ based machine 0.09090911570894615)	0.09090911570894615
mbl	extractionPatterns(product, benefits of energy-efficient _ 0.09523811972985817)	0.09523811972985817
mbl	extractionPatterns(product, companies like _ 0.120540919835479)	0.120540919835479
mbl	extractionPatterns(product, companies such as _ 0.10638869050183544)	0.10638869050183544
mbl	extractionPatterns(product, company like _ 0.12064728382639861)	0.12064728382639861
mbl	extractionPatterns(product, competitors like _ 0.15514998263681504)	0.15514998263681504
mbl	extractionPatterns(product, computers running _ 0.07098909537528436)	0.07098909537528436
mbl	extractionPatterns(product, corporations like _ 0.10806320408768669)	0.10806320408768669
mbl	extractionPatterns(product, DD-bit versions of _ 0.13369957147537254)	0.13369957147537254
mbl	extractionPatterns(product, elevator has _ 0.21383640904742235)	0.21383640904742235
mbl	extractionPatterns(product, floors , new _ 0.1446540860672634)	0.1446540860672634
mbl	extractionPatterns(product, free copy from _ 0.33182850325093266)	0.33182850325093266
mbl	extractionPatterns(product, giants like _ 0.19309885869502758)	0.19309885869502758
mbl	extractionPatterns(product, giants such as _ 0.180658819799126)	0.180658819799126
mbl	extractionPatterns(product, home networking _ 0.15036674534392488)	0.15036674534392488
mbl	extractionPatterns(product, Home networking _ 0.16800005032925908)	0.16800005032925908
mbl	extractionPatterns(productInstanceOf, arg1 brand arg2 1.1055095633468991E-4)	1.1055095633468991E-4
mbl	extractionPatterns(productInstanceOf, arg1 is the most popular arg2 1.7427675087858312E-4)	1.7427675087858312E-4
mbl	extractionPatterns(productInstanceOf, arg2 applications such as arg1 0.001281229647604767)	0.001281229647604767
mbl	extractionPatterns(productInstanceOf, arg2 packages such as arg1 0.004066693571460545)	0.004066693571460545
mbl	extractionPatterns(productInstanceOf, arg2 program arg1 5.5589901550135814E-5)	5.5589901550135814E-5
mbl	extractionPatterns(productInstanceOf, arg2 programs like arg1 0.004327834402799581)	0.004327834402799581
mbl	extractionPatterns(productInstanceOf, arg2 programs such as arg1 0.0029956441362645357)	0.0029956441362645357
mbl	extractionPatterns(productInstanceOf, arg2 similar to arg1 5.163158295219011E-5)	5.163158295219011E-5
mbl	extractionPatterns(productInstanceOf, arg2 that competes with arg1 0.0016266769924300163)	0.0016266769924300163
mbl	extractionPatterns(product, iphone on _ 0.13270137181244615)	0.13270137181244615
mbl	extractionPatterns(product, _ is the Shareware version 0.05045870499953277)	0.05045870499953277
mbl	extractionPatterns(product, items for _ 0.17233224645486728)	0.17233224645486728
mbl	extractionPatterns(product, large bank of _ 0.14545449360766524)	0.14545449360766524
mbl	extractionPatterns(product, new computer with _ 0.13961034315923018)	0.13961034315923018
mbl	extractionPatterns(product, OS like _ 0.13600005348147806)	0.13600005348147806
mbl	extractionPatterns(product, PC running _ 0.11122045124522621)	0.11122045124522621
mbl	extractionPatterns(product, PCs running _ 0.1885156974433029)	0.1885156974433029
mbl	extractionPatterns(product, platforms , including _ 0.1138534709377895)	0.1138534709377895
mbl	extractionPatterns(product, platforms like _ 0.1294797216084709)	0.1294797216084709
mbl	extractionPatterns(product, platforms such as _ 0.11606394381130085)	0.11606394381130085
mbl	extractionPatterns(product, playable on _ 0.07522933733269341)	0.07522933733269341
mbl	extractionPatterns(product, product key for _ 0.11627909340226542)	0.11627909340226542
mbl	extractionPatterns(product, program like _ 0.04093663072543345)	0.04093663072543345
mbl	extractionPatterns(product, program such as _ 0.04422548819965194)	0.04422548819965194
mbl	extractionPatterns(product, roof , new _ 0.13207544059392176)	0.13207544059392176
mbl	extractionPatterns(product, sale for _ 0.12867518444845127)	0.12867518444845127
mbl	extractionPatterns(product, service pack for _ 0.1202045985650626)	0.1202045985650626
mbl	extractionPatterns(product, sites like _ 0.12627111213190614)	0.12627111213190614
mbl	extractionPatterns(product, sites such as _ 0.11556813610146809)	0.11556813610146809
mbl	extractionPatterns(product, social networks like _ 0.620609015501736)	0.620609015501736
mbl	extractionPatterns(product, social networks such as _ 0.621211919518318)	0.621211919518318
mbl	extractionPatterns(product, software programs like _ 0.11023619366777221)	0.11023619366777221
mbl	extractionPatterns(product, software such as _ 0.03913316350506312)	0.03913316350506312
mbl	extractionPatterns(product, _ s screen 0.14399999703448368)	0.14399999703448368
mbl	extractionPatterns(product, _ s software 0.10317455669341713)	0.10317455669341713
mbl	extractionPatterns(product, sync for _ 0.09787236961253716)	0.09787236961253716
mbl	extractionPatterns(product, system utilities for _ 0.8866668137420706)	0.8866668137420706
mbl	extractionPatterns(product, top of other _ 0.12107622173680019)	0.12107622173680019
mbl	extractionPatterns(productType, arthritis joint _ 0.17796613492870716)	0.17796613492870716
mbl	extractionPatterns(productType, buy used _ 0.07962087275224476)	0.07962087275224476
mbl	extractionPatterns(productType, couple of _ 0.09428152743456428)	0.09428152743456428
mbl	extractionPatterns(productType, _ devised by 0.05566258952398086)	0.05566258952398086
mbl	extractionPatterns(productType, differences of _ 0.348796367946133)	0.348796367946133
mbl	extractionPatterns(productType, drain on _ 0.04797443567763375)	0.04797443567763375
mbl	extractionPatterns(productType, _ driven by 0.02348005362890347)	0.02348005362890347
mbl	extractionPatterns(productType, economics , human _ 0.2923077772900852)	0.2923077772900852
mbl	extractionPatterns(productType, freedom of _ 0.0811534883094697)	0.0811534883094697
mbl	extractionPatterns(productType, _ installed on 0.04287771722474153)	0.04287771722474153
mbl	extractionPatterns(productType, _ is designed for 0.07522858504308153)	0.07522858504308153
mbl	extractionPatterns(productType, _ is money 0.06583293723570538)	0.06583293723570538
mbl	extractionPatterns(productType, leadership , human _ 0.22033900209787158)	0.22033900209787158
mbl	extractionPatterns(productType, lot of natural _ 0.05079364655674186)	0.05079364655674186
mbl	extractionPatterns(productType, make of _ 0.10450347024944381)	0.10450347024944381
mbl	extractionPatterns(productType, _ manufactured by 0.017383739868257204)	0.017383739868257204
mbl	extractionPatterns(productType, many different brands of _ 0.05022833345753691)	0.05022833345753691
mbl	extractionPatterns(productType, matter of _ 0.050066708137915805)	0.050066708137915805
mbl	extractionPatterns(productType, millions of _ 0.07383805720563072)	0.07383805720563072
mbl	extractionPatterns(productType, _ opens in 0.04033067231061009)	0.04033067231061009
mbl	extractionPatterns(productType, _ related problems 0.043134721627174064)	0.043134721627174064
mbl	extractionPatterns(productType, relations , human _ 0.3620688108497386)	0.3620688108497386
mbl	extractionPatterns(productType, _ running on 0.03316344711854949)	0.03316344711854949
mbl	extractionPatterns(productType, _ running while 0.05687206542302464)	0.05687206542302464
mbl	extractionPatterns(productType, _ runs on 0.018254292885725193)	0.018254292885725193
mbl	extractionPatterns(productType, same class of _ 0.04834125220140498)	0.04834125220140498
mbl	extractionPatterns(productType, technology , human _ 0.4129032396633085)	0.4129032396633085
mbl	extractionPatterns(productType, wash with _ 0.101421822393333)	0.101421822393333
mbl	extractionPatterns(productType, _ was prepared for 0.050758204962000765)	0.050758204962000765
mbl	extractionPatterns(product, vendors such as _ 0.16169021945073453)	0.16169021945073453
mbl	extractionPatterns(professionalOrganization, active student chapter of _ 0.08888890032448334)	0.08888890032448334
mbl	extractionPatterns(professionalOrganization, annual national meeting of _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(professionalOrganization, Antonio Chapter of _ 0.31578931892794915)	0.31578931892794915
mbl	extractionPatterns(professionalOrganization, certified personal trainer through _ 0.32142854984110286)	0.32142854984110286
mbl	extractionPatterns(professionalOrganization, certified personal trainer with _ 0.39130420640595476)	0.39130420640595476
mbl	extractionPatterns(professionalOrganization, clinical practice guideline from _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(professionalOrganization, complimentary student membership in _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(professionalOrganization, degree is approved by _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(professionalOrganization, degrees accredited by _ 0.23809512506891317)	0.23809512506891317
mbl	extractionPatterns(professionalOrganization, Division meeting of _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(professionalOrganization, Engineering published by _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(professionalOrganization, England Section of _ 0.6400000656821918)	0.6400000656821918
mbl	extractionPatterns(professionalOrganization, fellowship status in _ 0.2631579122979848)	0.2631579122979848
mbl	extractionPatterns(professionalOrganization, Illinois Section of _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(professionalOrganization, _ is a nonprofit scientific society 0.47368440086698504)	0.47368440086698504
mbl	extractionPatterns(professionalOrganization, journal titles published by _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(professionalOrganization, local student chapter of _ 0.09803918826375141)	0.09803918826375141
mbl	extractionPatterns(professionalOrganization, Louisiana Chapter of _ 0.23076924664463755)	0.23076924664463755
mbl	extractionPatterns(professionalOrganization, Maryland chapter of _ 0.27027022152707975)	0.27027022152707975
mbl	extractionPatterns(professionalOrganization, medical journal of _ 0.25999990847133453)	0.25999990847133453
mbl	extractionPatterns(professionalOrganization, Miami Chapter of _ 0.23529411363207658)	0.23529411363207658
mbl	extractionPatterns(professionalOrganization, Michigan Section of _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(professionalOrganization, Milwaukee Section of _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(professionalOrganization, Minnesota Section of _ 0.23529411363207658)	0.23529411363207658
mbl	extractionPatterns(professionalOrganization, Nevada Section of _ 0.23529411363207658)	0.23529411363207658
mbl	extractionPatterns(professionalOrganization, New York Section of _ 0.30434784643986396)	0.30434784643986396
mbl	extractionPatterns(professionalOrganization, Ohio Section of _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(professionalOrganization, paper is held by _ 0.4117647861768502)	0.4117647861768502
mbl	extractionPatterns(professionalOrganization, personal trainer by _ 0.21621629642474752)	0.21621629642474752
mbl	extractionPatterns(professionalOrganization, Proceedings were published by _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(professionalOrganization, professional societies , such as _ 0.08888890032448334)	0.08888890032448334
mbl	extractionPatterns(professionalOrganization, professional societies such as _ 0.226415154059809)	0.226415154059809
mbl	extractionPatterns(professionalOrganization, psychology are accredited by _ 0.29999994129778657)	0.29999994129778657
mbl	extractionPatterns(professionalOrganization, Psychology is accredited by _ 0.6153845020195187)	0.6153845020195187
mbl	extractionPatterns(professionalOrganization, References Citations _ 0.23529411363207658)	0.23529411363207658
mbl	extractionPatterns(professionalOrganization, _ sanctioned contests 0.07843139385133113)	0.07843139385133113
mbl	extractionPatterns(professionalOrganization, Science , published by _ 0.253968255022667)	0.253968255022667
mbl	extractionPatterns(professionalOrganization, senior member of _ 0.07106601821177326)	0.07106601821177326
mbl	extractionPatterns(professionalOrganization, Southeastern Section of _ 0.2666666239952886)	0.2666666239952886
mbl	extractionPatterns(professionalOrganization, special interest group of _ 0.13043477312100557)	0.13043477312100557
mbl	extractionPatterns(professionalOrganization, student branch of _ 0.10714288087576275)	0.10714288087576275
mbl	extractionPatterns(professionalOrganization, student member of _ 0.09403257633441099)	0.09403257633441099
mbl	extractionPatterns(professionalOrganization, style files developed by _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(professionalOrganization, Surgical Section of _ 0.23529411363207658)	0.23529411363207658
mbl	extractionPatterns(professionalOrganization, Tech chapter of _ 0.23809512506891317)	0.23809512506891317
mbl	extractionPatterns(professionalOrganization, Tennessee Section of _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(professionalOrganization, Texas Section of _ 0.19047620506734006)	0.19047620506734006
mbl	extractionPatterns(professionalOrganization, University student chapter of _ 0.08888890032448334)	0.08888890032448334
mbl	extractionPatterns(professionalOrganization, University Student Chapter of _ 0.11764707805838637)	0.11764707805838637
mbl	extractionPatterns(professionalOrganization, Virginia Section of _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(profession, _ are finding evidence 0.19230762030527918)	0.19230762030527918
mbl	extractionPatterns(profession, careers as _ 0.07623817175898419)	0.07623817175898419
mbl	extractionPatterns(profession, careers as professional _ 0.08086250789315343)	0.08086250789315343
mbl	extractionPatterns(profession, development opportunities for _ 0.2057075045507784)	0.2057075045507784
mbl	extractionPatterns(profession, diverse team of _ 0.1721310798951486)	0.1721310798951486
mbl	extractionPatterns(profession, expert team of _ 0.08295964452221098)	0.08295964452221098
mbl	extractionPatterns(profession, free resources for _ 0.1013916031931442)	0.1013916031931442
mbl	extractionPatterns(profession, group of senior _ 0.16897508516269813)	0.16897508516269813
mbl	extractionPatterns(profession, _ have discovered evidence 0.2471909905643169)	0.2471909905643169
mbl	extractionPatterns(profession, _ have found fossils 0.19230762030527918)	0.19230762030527918
mbl	extractionPatterns(profession, _ have found the remains 0.19047620506734006)	0.19047620506734006
mbl	extractionPatterns(profession, in-house team of _ 0.1529411610279318)	0.1529411610279318
mbl	extractionPatterns(profession, interdisciplinary team of _ 0.059964713385881684)	0.059964713385881684
mbl	extractionPatterns(profession, international group of _ 0.15384618106178571)	0.15384618106178571
mbl	extractionPatterns(profession, international team of _ 0.23990362470922655)	0.23990362470922655
mbl	extractionPatterns(profession, interviews with professional _ 0.21686743732780722)	0.21686743732780722
mbl	extractionPatterns(profession, job shadowing with _ 0.21111104591237304)	0.21111104591237304
mbl	extractionPatterns(profession, large team of _ 0.16891899474594851)	0.16891899474594851
mbl	extractionPatterns(profession, nationwide shortage of _ 0.2564101418296668)	0.2564101418296668
mbl	extractionPatterns(profession, personnel such as _ 0.12585032184930378)	0.12585032184930378
mbl	extractionPatterns(profession, professional development for _ 0.292462449011335)	0.292462449011335
mbl	extractionPatterns(profession, professional development of _ 0.10296542775094417)	0.10296542775094417
mbl	extractionPatterns(profession, professionals including _ 0.059413607283576586)	0.059413607283576586
mbl	extractionPatterns(profession, professionals , including _ 0.07021607539042045)	0.07021607539042045
mbl	extractionPatterns(profession, professionals , such as _ 0.07793212682652281)	0.07793212682652281
mbl	extractionPatterns(profession, professionals such as _ 0.17653396232756607)	0.17653396232756607
mbl	extractionPatterns(profession, Professionals such as _ 0.3116881843654509)	0.3116881843654509
mbl	extractionPatterns(profession, professional team of _ 0.23244933306600332)	0.23244933306600332
mbl	extractionPatterns(profession, qualified team of _ 0.21100910389817562)	0.21100910389817562
mbl	extractionPatterns(profession, referrals from other _ 0.2269129080719983)	0.2269129080719983
mbl	extractionPatterns(profession, _ remember brokers 0.5675678371172757)	0.5675678371172757
mbl	extractionPatterns(profession, salaries for _ 0.05130361815270458)	0.05130361815270458
mbl	extractionPatterns(profession, salaries of _ 0.04408062215557061)	0.04408062215557061
mbl	extractionPatterns(profession, _ say the discovery 0.19718300935163702)	0.19718300935163702
mbl	extractionPatterns(profession, shortage of qualified _ 0.06350916835261743)	0.06350916835261743
mbl	extractionPatterns(profession, shortage of trained _ 0.0862533830561916)	0.0862533830561916
mbl	extractionPatterns(profession, staff of professional _ 0.12759641552026443)	0.12759641552026443
mbl	extractionPatterns(profession, staff of qualified _ 0.1736526915597494)	0.1736526915597494
mbl	extractionPatterns(profession, supervision of licensed _ 0.5104166122344119)	0.5104166122344119
mbl	extractionPatterns(profession, talented team of _ 0.1512967710182745)	0.1512967710182745
mbl	extractionPatterns(profession, team of expert _ 0.18433730873244528)	0.18433730873244528
mbl	extractionPatterns(profession, team of independent _ 0.15384618106178571)	0.15384618106178571
mbl	extractionPatterns(profession, team of professional _ 0.17531218150395594)	0.17531218150395594
mbl	extractionPatterns(profession, team of qualified _ 0.08177170498836583)	0.08177170498836583
mbl	extractionPatterns(profession, team of senior _ 0.11815558571454265)	0.11815558571454265
mbl	extractionPatterns(profession, team of specialist _ 0.11044771913341445)	0.11044771913341445
mbl	extractionPatterns(profession, team of talented _ 0.17452836507089897)	0.17452836507089897
mbl	extractionPatterns(profession, workers such as _ 0.10579341516615345)	0.10579341516615345
mbl	extractionPatterns(profession, work of young _ 0.18965512267636062)	0.18965512267636062
mbl	extractionPatterns(profession, workshops for _ 0.0685225082565642)	0.0685225082565642
mbl	extractionPatterns(reptile, _ are air-breathing reptiles 0.23529411363207658)	0.23529411363207658
mbl	extractionPatterns(reptile, _ basking along 0.17647059800966608)	0.17647059800966608
mbl	extractionPatterns(reptile, birds , giant _ 0.3500000435745399)	0.3500000435745399
mbl	extractionPatterns(reptile, birds , rare _ 0.23529411363207658)	0.23529411363207658
mbl	extractionPatterns(reptile, Captive bred _ 0.2777777348505767)	0.2777777348505767
mbl	extractionPatterns(reptile, captive propagation of _ 0.2105262353782364)	0.2105262353782364
mbl	extractionPatterns(reptile, Custom illustrations of specific _ 0.16666674487136082)	0.16666674487136082
mbl	extractionPatterns(reptile, desert horned _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(reptile, exhibit of live _ 0.23529411363207658)	0.23529411363207658
mbl	extractionPatterns(reptile, family of venomous _ 0.3999998927496764)	0.3999998927496764
mbl	extractionPatterns(reptile, _ have a higher fraction 0.17647059800966608)	0.17647059800966608
mbl	extractionPatterns(reptile, huge coils of _ 0.23529411363207658)	0.23529411363207658
mbl	extractionPatterns(reptile, iguanas , giant _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(reptile, lizards , including _ 0.16129036968565943)	0.16129036968565943
mbl	extractionPatterns(reptile, lizards look like _ 0.23529411363207658)	0.23529411363207658
mbl	extractionPatterns(reptile, lizards , small _ 0.23076924664463755)	0.23076924664463755
mbl	extractionPatterns(reptile, lizards , such as _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(reptile, look at live _ 0.23809512506891317)	0.23809512506891317
mbl	extractionPatterns(reptile, Mexican beaded _ 0.9090910725494009)	0.9090910725494009
mbl	extractionPatterns(reptile, nesting beaches for _ 0.17647059800966608)	0.17647059800966608
mbl	extractionPatterns(reptile, number of poisonous _ 0.22580646412931743)	0.22580646412931743
mbl	extractionPatterns(reptile, other snakes , including _ 0.449999863298018)	0.449999863298018
mbl	extractionPatterns(reptile, population of green _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(reptile, red bellied black _ 0.7857143303561276)	0.7857143303561276
mbl	extractionPatterns(reptile, reptile , including _ 0.23529411363207658)	0.23529411363207658
mbl	extractionPatterns(reptile, reptiles besides _ 0.17647059800966608)	0.17647059800966608
mbl	extractionPatterns(reptile, reptiles except _ 0.3500000435745399)	0.3500000435745399
mbl	extractionPatterns(reptile, reptiles including _ 0.2884613992728847)	0.2884613992728847
mbl	extractionPatterns(reptile, Reptiles , including _ 0.294117774006532)	0.294117774006532
mbl	extractionPatterns(reptile, reptiles , like _ 0.36000008911152426)	0.36000008911152426
mbl	extractionPatterns(reptile, river infested with _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(reptile, rough scaled _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(reptile, salamanders , small _ 0.17647059800966608)	0.17647059800966608
mbl	extractionPatterns(reptile, sea lions , giant _ 0.294117774006532)	0.294117774006532
mbl	extractionPatterns(reptile, snakes called _ 0.294117774006532)	0.294117774006532
mbl	extractionPatterns(reptile, snakes including _ 0.1555556085556767)	0.1555556085556767
mbl	extractionPatterns(reptile, snakes , poisonous _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(reptile, snakes , such as _ 0.18965512267636062)	0.18965512267636062
mbl	extractionPatterns(reptile, species of horned _ 0.6428569836079735)	0.6428569836079735
mbl	extractionPatterns(reptile, species of poisonous _ 0.6249997682786277)	0.6249997682786277
mbl	extractionPatterns(reptile, species of venomous _ 0.6896548665052286)	0.6896548665052286
mbl	extractionPatterns(reptile, spiders , small _ 0.20689662636382428)	0.20689662636382428
mbl	extractionPatterns(reptile, swamp filled with _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(reptile, swamp full of _ 0.16000007419974682)	0.16000007419974682
mbl	extractionPatterns(reptile, Texas horned _ 0.8437500310461172)	0.8437500310461172
mbl	extractionPatterns(reptile, turtles , green _ 0.294117774006532)	0.294117774006532
mbl	extractionPatterns(reptile, turtles , small _ 0.23529411363207658)	0.23529411363207658
mbl	extractionPatterns(reptile, type of venomous _ 0.42857136873737717)	0.42857136873737717
mbl	extractionPatterns(reptile, venomous species of _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(reptile, yellow spotted _ 0.3448274955146424)	0.3448274955146424
mbl	extractionPatterns(room, _ are all en-suite 0.38297866358830446)	0.38297866358830446
mbl	extractionPatterns(room, areas , expansive _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(room, areas , full _ 0.26530610670282023)	0.26530610670282023
mbl	extractionPatterns(room, areas , separate _ 0.2173913703250207)	0.2173913703250207
mbl	extractionPatterns(room, areas , spacious _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(room, _ are fitted out 0.16666674487136082)	0.16666674487136082
mbl	extractionPatterns(room, baths , spacious _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(room, bedrooms , full _ 0.357143006136159)	0.357143006136159
mbl	extractionPatterns(room, bedrooms have private _ 0.21238937805969452)	0.21238937805969452
mbl	extractionPatterns(room, bedrooms have separate _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(room, bedrooms , in _ 0.19444440349460365)	0.19444440349460365
mbl	extractionPatterns(room, bedrooms , spacious _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(room, cabins have full _ 0.5142858704194089)	0.5142858704194089
mbl	extractionPatterns(room, cabins have small _ 0.16666674487136082)	0.16666674487136082
mbl	extractionPatterns(room, cabins with private _ 0.19607834112360512)	0.19607834112360512
mbl	extractionPatterns(room, cars as mobile _ 0.16666674487136082)	0.16666674487136082
mbl	extractionPatterns(room, closets , spacious _ 0.42857136873737717)	0.42857136873737717
mbl	extractionPatterns(room, common areas like _ 0.20588243026254208)	0.20588243026254208
mbl	extractionPatterns(room, common areas , such as _ 0.16981137784799305)	0.16981137784799305
mbl	extractionPatterns(room, Common areas such as _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(room, condos with full _ 0.39285723611233847)	0.39285723611233847
mbl	extractionPatterns(room, doorways , in _ 0.19047620506734006)	0.19047620506734006
mbl	extractionPatterns(room, exhaust fans in _ 0.17857135673949723)	0.17857135673949723
mbl	extractionPatterns(room, facilities including private _ 0.16666674487136082)	0.16666674487136082
mbl	extractionPatterns(room, floors , spacious _ 0.16000007419974682)	0.16000007419974682
mbl	extractionPatterns(room, high traffic areas such as _ 0.15254235252755222)	0.15254235252755222
mbl	extractionPatterns(room, hospitals , corporate _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(room, humid environments such as _ 0.2173913703250207)	0.2173913703250207
mbl	extractionPatterns(room, humidity areas such as _ 0.357143006136159)	0.357143006136159
mbl	extractionPatterns(room, humidity , such as _ 0.20689662636382428)	0.20689662636382428
mbl	extractionPatterns(room, humidity such as _ 0.25714298163942295)	0.25714298163942295
mbl	extractionPatterns(room, _ including a master suite 0.3999998927496764)	0.3999998927496764
mbl	extractionPatterns(room, kitchens , separate _ 0.25454541779347484)	0.25454541779347484
mbl	extractionPatterns(room, kitchens , spacious _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(room, _ link site 0.22794110381455626)	0.22794110381455626
mbl	extractionPatterns(room, living areas , large _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(room, quality fitted _ 0.29999994129778657)	0.29999994129778657
mbl	extractionPatterns(room, rooms have full _ 0.15044254928456666)	0.15044254928456666
mbl	extractionPatterns(room, rooms have spacious _ 0.2105262353782364)	0.2105262353782364
mbl	extractionPatterns(room, rooms , private _ 0.14932128788096072)	0.14932128788096072
mbl	extractionPatterns(room, rooms with full _ 0.17829460723991025)	0.17829460723991025
mbl	extractionPatterns(room, services through local _ 0.22972967210156414)	0.22972967210156414
mbl	extractionPatterns(room, suites have separate _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(room, suites with separate _ 0.21686743732780722)	0.21686743732780722
mbl	extractionPatterns(room, traffic areas like _ 0.20930222895853595)	0.20930222895853595
mbl	extractionPatterns(room, units have full _ 0.4843749413298519)	0.4843749413298519
mbl	extractionPatterns(room, units have separate _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(room, units with full _ 0.5777777498993292)	0.5777777498993292
mbl	extractionPatterns(room, views , separate _ 0.2592591858756811)	0.2592591858756811
mbl	extractionPatterns(room, wet areas such as _ 0.16666674487136082)	0.16666674487136082
mbl	extractionPatterns(scientist, atheists like _ 0.10071938452674219)	0.10071938452674219
mbl	extractionPatterns(scientist, biography emphasizes _ 0.14285716415076063)	0.14285716415076063
mbl	extractionPatterns(scientist, blackboards of _ 0.10000000929940499)	0.10000000929940499
mbl	extractionPatterns(scientist, _ built a telescope 0.20833331623205179)	0.20833331623205179
mbl	extractionPatterns(scientist, Church persecuted _ 0.24000008535365014)	0.24000008535365014
mbl	extractionPatterns(scientist, co-discoverer , with _ 0.10000000929940499)	0.10000000929940499
mbl	extractionPatterns(scientist, controversial book by _ 0.07142859497252234)	0.07142859497252234
mbl	extractionPatterns(scientist, _ develops a vaccine 0.23529411363207658)	0.23529411363207658
mbl	extractionPatterns(scientist, _ discovered gravity 0.16279069224343598)	0.16279069224343598
mbl	extractionPatterns(scientist, _ discovered sunspots 0.17647059800966608)	0.17647059800966608
mbl	extractionPatterns(scientist, _ discovered the moons 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(scientist, double helix by _ 0.2121212996023868)	0.2121212996023868
mbl	extractionPatterns(scientist, eminent scientists as _ 0.10000000929940499)	0.10000000929940499
mbl	extractionPatterns(scientist, engineers including _ 0.1527777542832592)	0.1527777542832592
mbl	extractionPatterns(scientist, evolutionary theories of _ 0.13333333607230202)	0.13333333607230202
mbl	extractionPatterns(scientist, evolutionary theorists such as _ 0.10000000929940499)	0.10000000929940499
mbl	extractionPatterns(scientist, evolutionists such as _ 0.13636365882139362)	0.13636365882139362
mbl	extractionPatterns(scientist, famous trial of _ 0.07142859497252234)	0.07142859497252234
mbl	extractionPatterns(scientist, first postulated by _ 0.22222231039474505)	0.22222231039474505
mbl	extractionPatterns(scientist, _ flew the first airplane 0.10000000929940499)	0.10000000929940499
mbl	extractionPatterns(scientist, great thinkers as _ 0.13636365882139362)	0.13636365882139362
mbl	extractionPatterns(scientist, ideas propounded by _ 0.10000000929940499)	0.10000000929940499
mbl	extractionPatterns(scientist, _ invented the telescope 0.34374987281298963)	0.34374987281298963
mbl	extractionPatterns(scientist, many physicists , including _ 0.10000000929940499)	0.10000000929940499
mbl	extractionPatterns(scientist, materialists like _ 0.10000000929940499)	0.10000000929940499
mbl	extractionPatterns(scientist, naturalists such as _ 0.11111106414847875)	0.11111106414847875
mbl	extractionPatterns(scientist, natural philosophy of _ 0.09615382751416786)	0.09615382751416786
mbl	extractionPatterns(scientist, notable personalities such as _ 0.10000000929940499)	0.10000000929940499
mbl	extractionPatterns(scientist, Opere di _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(scientist, other information sources about _ 0.11111106414847875)	0.11111106414847875
mbl	extractionPatterns(scientist, physicists including _ 0.1851851765870796)	0.1851851765870796
mbl	extractionPatterns(scientist, physicists like _ 0.10483873149891759)	0.10483873149891759
mbl	extractionPatterns(scientist, physicists such as _ 0.10714288087576275)	0.10714288087576275
mbl	extractionPatterns(scientist, physicists , such as _ 0.11111106414847875)	0.11111106414847875
mbl	extractionPatterns(scientist, physicist such as _ 0.07142859497252234)	0.07142859497252234
mbl	extractionPatterns(scientist, _ postulated the theory 0.14285716415076063)	0.14285716415076063
mbl	extractionPatterns(scientist, _ publishes theory 0.14285716415076063)	0.14285716415076063
mbl	extractionPatterns(scientist, quantum theory developed by _ 0.11111106414847875)	0.11111106414847875
mbl	extractionPatterns(scientist, scientist since _ 0.13559320708147637)	0.13559320708147637
mbl	extractionPatterns(scientist, Scientists such as _ 0.15384618106178571)	0.15384618106178571
mbl	extractionPatterns(scientist, Sex , by _ 0.1851851765870796)	0.1851851765870796
mbl	extractionPatterns(scientist, _ takes a high position 0.17647059800966608)	0.17647059800966608
mbl	extractionPatterns(scientist, _ theorized that light 0.14285716415076063)	0.14285716415076063
mbl	extractionPatterns(scientist, Thinkers include _ 0.17647059800966608)	0.17647059800966608
mbl	extractionPatterns(scientist, thought experiment by _ 0.11111106414847875)	0.11111106414847875
mbl	extractionPatterns(scientist, unit is named after _ 0.16216223406750285)	0.16216223406750285
mbl	extractionPatterns(scientist, unit is named for _ 0.08333330414900512)	0.08333330414900512
mbl	extractionPatterns(scientist, _ used a telescope 0.11111106414847875)	0.11111106414847875
mbl	extractionPatterns(scientist, _ was an American physicist 0.14285716415076063)	0.14285716415076063
mbl	extractionPatterns(scientist, _ was an Italian physicist 0.17647059800966608)	0.17647059800966608
mbl	extractionPatterns(shape, bread , cut into _ 0.23076924664463755)	0.23076924664463755
mbl	extractionPatterns(shape, bread cut into _ 0.30769230656666036)	0.30769230656666036
mbl	extractionPatterns(shape, bread cut into small _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(shape, bread into small _ 0.3061224786760473)	0.3061224786760473
mbl	extractionPatterns(shape, bread into tiny _ 0.23076924664463755)	0.23076924664463755
mbl	extractionPatterns(shape, cake into D-inch _ 0.2777777348505767)	0.2777777348505767
mbl	extractionPatterns(shape, cheese into D-inch _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(shape, cheese into small _ 0.31914906402380705)	0.31914906402380705
mbl	extractionPatterns(shape, circle of infinite _ 0.4117647861768502)	0.4117647861768502
mbl	extractionPatterns(shape, _ circumscribed about 0.21874994613159704)	0.21874994613159704
mbl	extractionPatterns(shape, close-packing of _ 0.5789471984236444)	0.5789471984236444
mbl	extractionPatterns(shape, cold , cut in _ 0.16666674487136082)	0.16666674487136082
mbl	extractionPatterns(shape, cool , cut into _ 0.40476201575862447)	0.40476201575862447
mbl	extractionPatterns(shape, Cut bread into _ 0.16666674487136082)	0.16666674487136082
mbl	extractionPatterns(shape, dough into D-inch _ 0.20253167194475924)	0.20253167194475924
mbl	extractionPatterns(shape, edge at right _ 0.47368440086698504)	0.47368440086698504
mbl	extractionPatterns(shape, examples of magic _ 0.2777777348505767)	0.2777777348505767
mbl	extractionPatterns(shape, Figurate numbers representing _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(shape, geometric figures such as _ 0.42857136873737717)	0.42857136873737717
mbl	extractionPatterns(shape, geometric objects such as _ 0.20930222895853595)	0.20930222895853595
mbl	extractionPatterns(shape, geometric patterns such as _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(shape, grid of small _ 0.19565213852991367)	0.19565213852991367
mbl	extractionPatterns(shape, ham into small _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(shape, _ headed bolt 0.23076924664463755)	0.23076924664463755
mbl	extractionPatterns(shape, history of magic _ 0.36842099004094686)	0.36842099004094686
mbl	extractionPatterns(shape, issue from different _ 0.3235294932351779)	0.3235294932351779
mbl	extractionPatterns(shape, mozzarella into small _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(shape, number of shaded _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(shape, oven , cut into _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(shape, pan , cut into _ 0.294117774006532)	0.294117774006532
mbl	extractionPatterns(shape, pita bread into _ 0.22222231039474505)	0.22222231039474505
mbl	extractionPatterns(shape, polygon into _ 0.18681321716297805)	0.18681321716297805
mbl	extractionPatterns(shape, polygons such as _ 0.31578931892794915)	0.31578931892794915
mbl	extractionPatterns(shape, pork into small _ 0.22222231039474505)	0.22222231039474505
mbl	extractionPatterns(shape, potatoes into small _ 0.30555545339543744)	0.30555545339543744
mbl	extractionPatterns(shape, pound cake into _ 0.31249994056428093)	0.31249994056428093
mbl	extractionPatterns(shape, problem from different _ 0.35460988828015205)	0.35460988828015205
mbl	extractionPatterns(shape, quadrilaterals are _ 0.3181819150055155)	0.3181819150055155
mbl	extractionPatterns(shape, _ represent females 0.16666674487136082)	0.16666674487136082
mbl	extractionPatterns(shape, sandwich cut into _ 0.23529411363207658)	0.23529411363207658
mbl	extractionPatterns(shape, _ shaped pick 0.23076924664463755)	0.23076924664463755
mbl	extractionPatterns(shape, _ shaped UFOs 0.23076924664463755)	0.23076924664463755
mbl	extractionPatterns(shape, shapes range from _ 0.2105262353782364)	0.2105262353782364
mbl	extractionPatterns(shape, Side by _ 0.17480713474057463)	0.17480713474057463
mbl	extractionPatterns(shape, side by _ 0.8074694963635584)	0.8074694963635584
mbl	extractionPatterns(shape, slice into small _ 0.23529411363207658)	0.23529411363207658
mbl	extractionPatterns(shape, stable homotopy groups of _ 0.9565215120243028)	0.9565215120243028
mbl	extractionPatterns(shape, tilings by _ 0.23076924664463755)	0.23076924664463755
mbl	extractionPatterns(shape, vertices of adjacent _ 0.31249994056428093)	0.31249994056428093
mbl	extractionPatterns(shape, warm , cut into _ 0.47368440086698504)	0.47368440086698504
mbl	extractionPatterns(sport, adventure activities such as _ 0.3728813524075064)	0.3728813524075064
mbl	extractionPatterns(sport, _ are all popular activities 0.4696967524815602)	0.4696967524815602
mbl	extractionPatterns(sport, athlete , playing _ 0.4385966855115998)	0.4385966855115998
mbl	extractionPatterns(sport, beach , playing _ 0.5079364183323539)	0.5079364183323539
mbl	extractionPatterns(sport, biking , playing _ 0.3620688108497386)	0.3620688108497386
mbl	extractionPatterns(sport, body for amateur _ 0.5471698570453564)	0.5471698570453564
mbl	extractionPatterns(sport, business of professional _ 0.3670886158472897)	0.3670886158472897
mbl	extractionPatterns(sport, calendar of _ 0.5242529406314037)	0.5242529406314037
mbl	extractionPatterns(sport, career in professional _ 0.4133738043890235)	0.4133738043890235
mbl	extractionPatterns(sport, _ covered range 0.3663665294899968)	0.3663665294899968
mbl	extractionPatterns(sport, favorite sport is _ 0.541832698254262)	0.541832698254262
mbl	extractionPatterns(sport, favorite sports are _ 0.723076683149612)	0.723076683149612
mbl	extractionPatterns(sport, fishing , playing _ 0.4017858675769477)	0.4017858675769477
mbl	extractionPatterns(sport, game of professional _ 0.39622660363028406)	0.39622660363028406
mbl	extractionPatterns(sport, great game of _ 0.4246771694479103)	0.4246771694479103
mbl	extractionPatterns(sport, history of professional _ 0.39682535774735583)	0.39682535774735583
mbl	extractionPatterns(sport, hobbies are playing _ 0.436708654820617)	0.436708654820617
mbl	extractionPatterns(sport, interests include playing _ 0.3559322055903089)	0.3559322055903089
mbl	extractionPatterns(sport, letterman in _ 0.5827814699710675)	0.5827814699710675
mbl	extractionPatterns(sport, letterwinner in _ 0.520000243051522)	0.520000243051522
mbl	extractionPatterns(sport, letter winner in _ 0.565656655821913)	0.565656655821913
mbl	extractionPatterns(sport, many sports including _ 0.34615383254489884)	0.34615383254489884
mbl	extractionPatterns(sport, occasional game of _ 0.3846155557798213)	0.3846155557798213
mbl	extractionPatterns(sport, outdoor activities , including _ 0.4439026488223022)	0.4439026488223022
mbl	extractionPatterns(sport, outdoor activities including _ 0.4608295703006369)	0.4608295703006369
mbl	extractionPatterns(sport, outdoor activities such as _ 0.4748387529753118)	0.4748387529753118
mbl	extractionPatterns(sport, outdoor pursuits such as _ 0.4626867591355684)	0.4626867591355684
mbl	extractionPatterns(sport, outdoor recreation , including _ 0.49315043968392563)	0.49315043968392563
mbl	extractionPatterns(sport, pickup game of _ 0.6603772607961352)	0.6603772607961352
mbl	extractionPatterns(sport, recreational activities , such as _ 0.3559322055903089)	0.3559322055903089
mbl	extractionPatterns(sport, recreational activities such as _ 0.4407484387358726)	0.4407484387358726
mbl	extractionPatterns(sport, recreational opportunities , including _ 0.43478266214570066)	0.43478266214570066
mbl	extractionPatterns(sport, recreational opportunities including _ 0.4567902340129014)	0.4567902340129014
mbl	extractionPatterns(sport, recreation including _ 0.39080443904953055)	0.39080443904953055
mbl	extractionPatterns(sport, recreation , such as _ 0.3838382650051877)	0.3838382650051877
mbl	extractionPatterns(sport, recreation such as _ 0.4945055027867458)	0.4945055027867458
mbl	extractionPatterns(sport, retirement from professional _ 0.5731705285493914)	0.5731705285493914
mbl	extractionPatterns(sportsEquipment, animation using _ 0.034979433657105735)	0.034979433657105735
mbl	extractionPatterns(sportsEquipment, _ are played at 0.09335900021347153)	0.09335900021347153
mbl	extractionPatterns(sportsEquipment, _ are played on 0.07863385083960894)	0.07863385083960894
mbl	extractionPatterns(sportsEquipment, ball hits _ 0.0038948387490114074)	0.0038948387490114074
mbl	extractionPatterns(sportsEquipment, _ blocking capabilities 0.024590157936028936)	0.024590157936028936
mbl	extractionPatterns(sportsEquipment, _ bounced into 0.05764412185989192)	0.05764412185989192
mbl	extractionPatterns(sportsEquipment, _ bouncing over 0.025000011352850984)	0.025000011352850984
mbl	extractionPatterns(sportsEquipment, boys kicking _ 0.0312499969624916)	0.0312499969624916
mbl	extractionPatterns(sportsEquipment, _ calculates the size 0.04938270585444788)	0.04938270585444788
mbl	extractionPatterns(sportsEquipment, classpath in _ 0.012096779727786012)	0.012096779727786012
mbl	extractionPatterns(sportsEquipment, collection of useful _ 0.0983795816512476)	0.0983795816512476
mbl	extractionPatterns(sportsEquipment, _ enabled browsers 0.1900958234515026)	0.1900958234515026
mbl	extractionPatterns(sportsEquipment, _ has finished loading 0.3827160303185939)	0.3827160303185939
mbl	extractionPatterns(sportsEquipment, _ hit over 0.02511078107910347)	0.02511078107910347
mbl	extractionPatterns(sportsEquipment, _ hits the ball 0.015669517725786244)	0.015669517725786244
mbl	extractionPatterns(sportsEquipment, _ hitting the ball 0.013663530539477374)	0.013663530539477374
mbl	extractionPatterns(sportsEquipment, _ installed on 0.043803699574302246)	0.043803699574302246
mbl	extractionPatterns(sportsEquipment, _ is installed on 0.06017832748745625)	0.06017832748745625
mbl	extractionPatterns(sportsEquipment, _ is maintained by 0.1647030703328381)	0.1647030703328381
mbl	extractionPatterns(sportsEquipment, _ is run from 0.052375151926469216)	0.052375151926469216
mbl	extractionPatterns(sportsEquipment, kids kicking _ 0.025000011352850984)	0.025000011352850984
mbl	extractionPatterns(sportsEquipment, list of useful _ 0.08314609814003844)	0.08314609814003844
mbl	extractionPatterns(sportsEquipment, _ loaded in 0.31634496482025887)	0.31634496482025887
mbl	extractionPatterns(sportsEquipment, _ makes some assumptions 0.024590157936028936)	0.024590157936028936
mbl	extractionPatterns(sportsEquipment, page uses _ 0.012459261961519308)	0.012459261961519308
mbl	extractionPatterns(sportsEquipment, _ Pay special attention 0.08235295002405955)	0.08235295002405955
mbl	extractionPatterns(sportsEquipment, _ Please enter the email address 0.053380807912721276)	0.053380807912721276
mbl	extractionPatterns(sportsEquipment, _ prescribed on 0.016100177213541983)	0.016100177213541983
mbl	extractionPatterns(sportsEquipment, _ provides links 0.09151384561055091)	0.09151384561055091
mbl	extractionPatterns(sportsEquipment, _ reset for 0.016129038468470417)	0.016129038468470417
mbl	extractionPatterns(sportsEquipment, rest between _ 0.15490194115070055)	0.15490194115070055
mbl	extractionPatterns(sportsEquipment, _ rolling in 0.082316228797791)	0.082316228797791
mbl	extractionPatterns(sportsEquipment, tennis court with _ 0.0312499969624916)	0.0312499969624916
mbl	extractionPatterns(sport, series of _ 161.71669370517833)	161.71669370517833
mbl	extractionPatterns(sport, skiing , playing _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(sportsLeague, active streak in _ 0.17647059800966608)	0.17647059800966608
mbl	extractionPatterns(sportsLeague, _ awarded a franchise 0.23076924664463755)	0.23076924664463755
mbl	extractionPatterns(sportsLeague, _ awarded a team 0.2727272683991621)	0.2727272683991621
mbl	extractionPatterns(sportsLeague, _ awarded the area 0.2727272683991621)	0.2727272683991621
mbl	extractionPatterns(sportsLeague, BC joined _ 0.12499994270999265)	0.12499994270999265
mbl	extractionPatterns(sportsLeague, _ betting scandal 0.144927595884536)	0.144927595884536
mbl	extractionPatterns(sportsLeague, _ betting stats 0.17647059800966608)	0.17647059800966608
mbl	extractionPatterns(sportsLeague, caddies on _ 0.16129036968565943)	0.16129036968565943
mbl	extractionPatterns(sportsLeague, Capitals joined _ 0.14285716415076063)	0.14285716415076063
mbl	extractionPatterns(sportsLeague, championship series of _ 0.2799999092276232)	0.2799999092276232
mbl	extractionPatterns(sportsLeague, championship trophy of _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(sportsLeague, complete players in _ 0.23076924664463755)	0.23076924664463755
mbl	extractionPatterns(sportsLeague, _ comprises teams 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(sportsLeague, cover athlete for _ 0.22727262293734563)	0.22727262293734563
mbl	extractionPatterns(sportsLeague, current players in _ 0.1578946879734282)	0.1578946879734282
mbl	extractionPatterns(sportsLeague, DD-D , D-D _ 0.14285716415076063)	0.14285716415076063
mbl	extractionPatterns(sportsLeague, DD-time winner on _ 0.2631579122979848)	0.2631579122979848
mbl	extractionPatterns(sportsLeague, developmental league for _ 0.19607834112360512)	0.19607834112360512
mbl	extractionPatterns(sportsLeague, development league for _ 0.416666557230806)	0.416666557230806
mbl	extractionPatterns(sportsLeague, elite team in _ 0.18750008129470605)	0.18750008129470605
mbl	extractionPatterns(sportsLeague, exemption enjoyed by _ 0.23076924664463755)	0.23076924664463755
mbl	extractionPatterns(sportsLeague, famous teams in _ 0.23076924664463755)	0.23076924664463755
mbl	extractionPatterns(sportsLeague, favorite player in _ 0.18309850358505103)	0.18309850358505103
mbl	extractionPatterns(sportsLeague, first black player in _ 0.25999990847133453)	0.25999990847133453
mbl	extractionPatterns(sportsLeague, flagship franchise in _ 0.21428572306010352)	0.21428572306010352
mbl	extractionPatterns(sportsLeague, game balls for _ 0.14285716415076063)	0.14285716415076063
mbl	extractionPatterns(sportsLeague, hated player in _ 0.32000009062028956)	0.32000009062028956
mbl	extractionPatterns(sportsLeague, impact player in _ 0.18750008129470605)	0.18750008129470605
mbl	extractionPatterns(sportsLeague, _ imposed suspension 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(sportsLeague, _ is the only league 0.16666674487136082)	0.16666674487136082
mbl	extractionPatterns(sportsLeague, licensed product of _ 0.2592591858756811)	0.2592591858756811
mbl	extractionPatterns(sportsLeague, minor league for _ 0.18750008129470605)	0.18750008129470605
mbl	extractionPatterns(sportsLeague, offensive guard in _ 0.22727262293734563)	0.22727262293734563
mbl	extractionPatterns(sportsLeague, offensive linemen in _ 0.16393438871791666)	0.16393438871791666
mbl	extractionPatterns(sportsLeague, Officially licensed by _ 0.2831858168956085)	0.2831858168956085
mbl	extractionPatterns(sportsLeague, official statistician of _ 0.18181819858880538)	0.18181819858880538
mbl	extractionPatterns(sportsLeague, Oilers joined _ 0.2727272683991621)	0.2727272683991621
mbl	extractionPatterns(sportsLeague, Oilers of _ 0.30769230656666036)	0.30769230656666036
mbl	extractionPatterns(sportsLeague, original teams of _ 0.21428572306010352)	0.21428572306010352
mbl	extractionPatterns(sportsLeague, outstanding teams of _ 0.2857142767129624)	0.2857142767129624
mbl	extractionPatterns(sportsLeague, passers in _ 0.13793109915402665)	0.13793109915402665
mbl	extractionPatterns(sportsLeague, professional basketball player in _ 0.2727272683991621)	0.2727272683991621
mbl	extractionPatterns(sportsLeague, professional debut in _ 0.7992280137678779)	0.7992280137678779
mbl	extractionPatterns(sportsLeague, radio partner of _ 0.21428572306010352)	0.21428572306010352
mbl	extractionPatterns(sportsLeague, _ realigned into 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(sportsLeague, _ rushing title 0.3934426362591605)	0.3934426362591605
mbl	extractionPatterns(sportsLeague, scoring teams in _ 0.13953483439054465)	0.13953483439054465
mbl	extractionPatterns(sportsLeague, second-best record in _ 0.17647059800966608)	0.17647059800966608
mbl	extractionPatterns(sportsLeague, shooting team in _ 0.16666674487136082)	0.16666674487136082
mbl	extractionPatterns(sportsLeague, surprising second-place finish in _ 0.18750008129470605)	0.18750008129470605
mbl	extractionPatterns(sport, sport like _ 0.3595705055175666)	0.3595705055175666
mbl	extractionPatterns(sport, sport of professional _ 0.4831461901534856)	0.4831461901534856
mbl	extractionPatterns(sport, sports activities such as _ 0.44086040305817853)	0.44086040305817853
mbl	extractionPatterns(sport, sports except _ 0.4757280079207165)	0.4757280079207165
mbl	extractionPatterns(sport, sports include _ 0.37301598687578497)	0.37301598687578497
mbl	extractionPatterns(sport, sports , like _ 0.36144586486788)	0.36144586486788
mbl	extractionPatterns(sport, sports other than _ 0.5221240895008389)	0.5221240895008389
mbl	extractionPatterns(sport, sports ranging from _ 0.4268293475868291)	0.4268293475868291
mbl	extractionPatterns(sport, sport such as _ 0.42585558182076233)	0.42585558182076233
mbl	extractionPatterns(sportsTeam, agent contract with _ 0.2260868639033752)	0.2260868639033752
mbl	extractionPatterns(sportsTeam, _ are a better team 0.1569506271254536)	0.1569506271254536
mbl	extractionPatterns(sportsTeam, _ are D-D ATS 0.4139785988880929)	0.4139785988880929
mbl	extractionPatterns(sportsTeam, _ are the better team 0.14285716415076063)	0.14285716415076063
mbl	extractionPatterns(sportsTeam, _ are the only team 0.165024554665341)	0.165024554665341
mbl	extractionPatterns(sportsTeam, baseman for _ 0.14828903063072058)	0.14828903063072058
mbl	extractionPatterns(sportsTeam, bears , black _ 0.2743902269050282)	0.2743902269050282
mbl	extractionPatterns(sportsTeam, _ beat writer 0.14835162180745617)	0.14835162180745617
mbl	extractionPatterns(sportsTeam, career against _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(sportsTeam, championship game against _ 0.16176477582582538)	0.16176477582582538
mbl	extractionPatterns(sportsTeam, Championship game against _ 0.24347816790667245)	0.24347816790667245
mbl	extractionPatterns(sportsTeam, Chevrolet dealerships in _ 0.29565205676003203)	0.29565205676003203
mbl	extractionPatterns(sportsTeam, draft choice of _ 0.17816093641730463)	0.17816093641730463
mbl	extractionPatterns(sportsTeam, draft pick of _ 0.21264376036266686)	0.21264376036266686
mbl	extractionPatterns(sportsTeam, entire state of _ 0.3380974876789453)	0.3380974876789453
mbl	extractionPatterns(sportsTeam, equity loan in _ 0.19318190905881497)	0.19318190905881497
mbl	extractionPatterns(sportsTeam, favorite team is _ 0.14222229324868527)	0.14222229324868527
mbl	extractionPatterns(sportsTeam, finale against _ 0.3213115711403759)	0.3213115711403759
mbl	extractionPatterns(sportsTeam, football game between _ 0.19902914653153603)	0.19902914653153603
mbl	extractionPatterns(sportsTeam, free agent by _ 0.19875785583798125)	0.19875785583798125
mbl	extractionPatterns(sportsTeam, free agent with _ 0.17948726870567172)	0.17948726870567172
mbl	extractionPatterns(sportsTeam, Friday night against _ 0.29885044938463134)	0.29885044938463134
mbl	extractionPatterns(sportsTeam, game versus _ 0.2377850891532126)	0.2377850891532126
mbl	extractionPatterns(sportsTeam, governor of _ 0.3115544988119597)	0.3115544988119597
mbl	extractionPatterns(sportsTeam, _ had a D-D lead 0.19421490020244575)	0.19421490020244575
mbl	extractionPatterns(sportsTeam, home game against _ 0.22123893669118136)	0.22123893669118136
mbl	extractionPatterns(sportsTeam, home opener against _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(sportsTeam, home state of _ 0.36309237518406534)	0.36309237518406534
mbl	extractionPatterns(sportsTeam, last night against _ 0.23711334576503104)	0.23711334576503104
mbl	extractionPatterns(sportsTeam, _ leads the nation 0.19099252267504796)	0.19099252267504796
mbl	extractionPatterns(sportsTeam, league contract with _ 0.24347816790667245)	0.24347816790667245
mbl	extractionPatterns(sportsTeam, linebacker for _ 0.16326526635605232)	0.16326526635605232
mbl	extractionPatterns(sportsTeam, night game against _ 0.2049689038266712)	0.2049689038266712
mbl	extractionPatterns(sportsTeam, pick by _ 0.15496360439344986)	0.15496360439344986
mbl	extractionPatterns(sportsTeam, playoff game against _ 0.17040352128199424)	0.17040352128199424
mbl	extractionPatterns(sportsTeam, playoffs against _ 0.26815636959094125)	0.26815636959094125
mbl	extractionPatterns(sportsTeam, quarter against _ 0.29629639239245803)	0.29629639239245803
mbl	extractionPatterns(sportsTeam, ranch in _ 0.19973635640953924)	0.19973635640953924
mbl	extractionPatterns(sportsTeam, season opener against _ 0.22895632823775997)	0.22895632823775997
mbl	extractionPatterns(sportsTeam, season series against _ 0.21341471232755982)	0.21341471232755982
mbl	extractionPatterns(sportsTeam, season sweep of _ 0.22222231039474505)	0.22222231039474505
mbl	extractionPatterns(sportsTeam, senator from _ 0.3307670261209385)	0.3307670261209385
mbl	extractionPatterns(sportsTeam, three-game series with _ 0.21951230254424084)	0.21951230254424084
mbl	extractionPatterns(sportsTeam, three-game sweep of _ 0.2073170531041062)	0.2073170531041062
mbl	extractionPatterns(sportsTeam, tonight against _ 0.2607594354358624)	0.2607594354358624
mbl	extractionPatterns(sportsTeam, _ took a DD-D lead 0.19523818583116195)	0.19523818583116195
mbl	extractionPatterns(sportsTeam, touchdown against _ 0.27227709489745994)	0.27227709489745994
mbl	extractionPatterns(sportsTeam, Under is D-D in _ 0.23318386883269965)	0.23318386883269965
mbl	extractionPatterns(sportsTeam, U.S. state of _ 0.5316648337124684)	0.5316648337124684
mbl	extractionPatterns(sportsTeam, wealth of _ 0.2740545787258871)	0.2740545787258871
mbl	extractionPatterns(sportUsesEquipment, arg1 and baseball arg2 7.262167746759474E-4)	7.262167746759474E-4
mbl	extractionPatterns(sportUsesEquipment, arg1 and golf arg2 3.0924645808468444E-4)	3.0924645808468444E-4
mbl	extractionPatterns(sportUsesEquipment, arg1 ball and arg2 0.002297970354969925)	0.002297970354969925
mbl	extractionPatterns(sportUsesEquipment, arg1 ball on a arg2 0.0106761606476766)	0.0106761606476766
mbl	extractionPatterns(sportUsesEquipment, arg1 ball with the arg2 0.011627910421552923)	0.011627910421552923
mbl	extractionPatterns(sportUsesEquipment, arg1 clubs and arg2 3.363040151829994E-4)	3.363040151829994E-4
mbl	extractionPatterns(sportUsesEquipment, arg1 equipment arg2 5.0684216878699507E-5)	5.0684216878699507E-5
mbl	extractionPatterns(sportUsesEquipment, arg1 is to get the arg2 2.7292568935427373E-4)	2.7292568935427373E-4
mbl	extractionPatterns(sportUsesEquipment, arg1 off a arg2 9.174734580535707E-5)	9.174734580535707E-5
mbl	extractionPatterns(sportUsesEquipment, arg1 or cricket arg2 0.027777776068225332)	0.027777776068225332
mbl	extractionPatterns(sportUsesEquipment, arg1 or tennis arg2 0.002223635077310866)	0.002223635077310866
mbl	extractionPatterns(sportUsesEquipment, arg1 training arg2 9.019018054131936E-5)	9.019018054131936E-5
mbl	extractionPatterns(sportUsesEquipment, arg1 using a arg2 1.5496583154268576E-5)	1.5496583154268576E-5
mbl	extractionPatterns(sportUsesEquipment, arg1 with a real arg2 2.7559587121903404E-4)	2.7559587121903404E-4
mbl	extractionPatterns(sportUsesEquipment, arg1 without a arg2 8.528107432555291E-5)	8.528107432555291E-5
mbl	extractionPatterns(sportUsesEquipment, arg2 and the game of arg1 0.001531980402266196)	0.001531980402266196
mbl	extractionPatterns(sportUsesEquipment, arg2 when playing arg1 0.0011476659588938044)	0.0011476659588938044
mbl	extractionPatterns(sport, various sports including _ 0.5283020998972826)	0.5283020998972826
mbl	extractionPatterns(sport, varsity letters in _ 0.41509453064652946)	0.41509453064652946
mbl	extractionPatterns(stadium, All-Star game at _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(stadium, baseball games at _ 0.3838382650051877)	0.3838382650051877
mbl	extractionPatterns(stadium, Cubs play at _ 0.3846155557798213)	0.3846155557798213
mbl	extractionPatterns(stadium, day game at _ 0.30769230656666036)	0.30769230656666036
mbl	extractionPatterns(stadium, divisional playoff game at _ 0.3846155557798213)	0.3846155557798213
mbl	extractionPatterns(stadium, Division battle at _ 0.7500000543388377)	0.7500000543388377
mbl	extractionPatterns(stadium, Earth concert at _ 0.2857142767129624)	0.2857142767129624
mbl	extractionPatterns(stadium, field seats at _ 0.30769230656666036)	0.30769230656666036
mbl	extractionPatterns(stadium, field wall at _ 0.4117647861768502)	0.4117647861768502
mbl	extractionPatterns(stadium, final home opener at _ 0.862068969929546)	0.862068969929546
mbl	extractionPatterns(stadium, final opening day at _ 0.2857142767129624)	0.2857142767129624
mbl	extractionPatterns(stadium, first baseball game at _ 0.3846155557798213)	0.3846155557798213
mbl	extractionPatterns(stadium, football team plays at _ 0.34615383254489884)	0.34615383254489884
mbl	extractionPatterns(stadium, game at historic _ 0.2857142767129624)	0.2857142767129624
mbl	extractionPatterns(stadium, grass surface at _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(stadium, Hannah Montana concert at _ 0.42857136873737717)	0.42857136873737717
mbl	extractionPatterns(stadium, _ has been the proud home 0.28205138734986673)	0.28205138734986673
mbl	extractionPatterns(stadium, hockey games at _ 0.47540985231833277)	0.47540985231833277
mbl	extractionPatterns(stadium, home arena at _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(stadium, home debut at _ 0.3846155557798213)	0.3846155557798213
mbl	extractionPatterns(stadium, home games held at _ 0.34374987281298963)	0.34374987281298963
mbl	extractionPatterns(stadium, home game tickets are available for _ 0.2857142767129624)	0.2857142767129624
mbl	extractionPatterns(stadium, home plate at _ 0.32258068112616345)	0.32258068112616345
mbl	extractionPatterns(stadium, Ice show live at _ 0.3396226943737254)	0.3396226943737254
mbl	extractionPatterns(stadium, _ is a baseball stadium 0.3636363315194487)	0.3636363315194487
mbl	extractionPatterns(stadiumLocatedInCity, arg1 and Downtown arg2 0.002143622765889386)	0.002143622765889386
mbl	extractionPatterns(stadiumLocatedInCity, arg1 and downtown arg2 8.123477873147536E-4)	8.123477873147536E-4
mbl	extractionPatterns(stadiumLocatedInCity, arg1 and other Sports Locations in arg2 0.6666667387387801)	0.6666667387387801
mbl	extractionPatterns(stadiumLocatedInCity, arg1 in Downtown arg2 0.00112866811580709)	0.00112866811580709
mbl	extractionPatterns(stadiumLocatedInCity, arg1 in downtown arg2 5.488589890461265E-4)	5.488589890461265E-4
mbl	extractionPatterns(stadiumLocatedInCity, arg1 in the heart of Downtown arg2 0.006920411816973067)	0.006920411816973067
mbl	extractionPatterns(stadiumLocatedInCity, arg1 is a baseball stadium in arg2 0.009009010822633823)	0.009009010822633823
mbl	extractionPatterns(stadiumLocatedInCity, arg1 is located in downtown arg2 0.0015290525251640062)	0.0015290525251640062
mbl	extractionPatterns(stadiumLocatedInCity, arg1 live in arg2 2.5714562482112265E-4)	2.5714562482112265E-4
mbl	extractionPatterns(stadiumLocatedInCity, arg1 opens in arg2 4.09165433834508E-4)	4.09165433834508E-4
mbl	extractionPatterns(stadiumLocatedInCity, arg1 Rush concert event in arg2 0.010380626983851924)	0.010380626983851924
mbl	extractionPatterns(stadiumLocatedInCity, arg2 concert at arg1 7.757951923500287E-4)	7.757951923500287E-4
mbl	extractionPatterns(stadiumLocatedInCity, arg2 Convention Center and arg1 0.014925367453597592)	0.014925367453597592
mbl	extractionPatterns(stadiumLocatedInCity, arg2 landmarks such as arg1 0.017241379492179642)	0.017241379492179642
mbl	extractionPatterns(stadiumLocatedInCity, arg2 tonight at arg1 9.216592313129914E-4)	9.216592313129914E-4
mbl	extractionPatterns(stadiumLocatedInCity, arg2 to perform at arg1 7.326005184022731E-4)	7.326005184022731E-4
mbl	extractionPatterns(stadium, Long tour at _ 0.43478266214570066)	0.43478266214570066
mbl	extractionPatterns(stadium, luxury box at _ 0.42857136873737717)	0.42857136873737717
mbl	extractionPatterns(stadium, morning skate at _ 0.3846155557798213)	0.3846155557798213
mbl	extractionPatterns(stadium, NASCAR racing at _ 0.31249994056428093)	0.31249994056428093
mbl	extractionPatterns(stadium, NBA game at _ 0.416666557230806)	0.416666557230806
mbl	extractionPatterns(stadium, NCAA games at _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(stadium, open practice at _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(stadium, outdoor game at _ 0.5333331516919638)	0.5333331516919638
mbl	extractionPatterns(stadium, Packers game at _ 0.3846155557798213)	0.3846155557798213
mbl	extractionPatterns(stadium, Predators at _ 0.35294113229229485)	0.35294113229229485
mbl	extractionPatterns(stadium, rain delay at _ 0.3500000435745399)	0.3500000435745399
mbl	extractionPatterns(stadium, Raptors at _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(stadium, Rolling Stones concert at _ 0.35294113229229485)	0.35294113229229485
mbl	extractionPatterns(stadium, Seahawks game at _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(stadium, seating chart of _ 0.36507918635932646)	0.36507918635932646
mbl	extractionPatterns(stadium, sellout crowd at _ 0.2564101418296668)	0.2564101418296668
mbl	extractionPatterns(stadium, Series game at _ 0.2857142767129624)	0.2857142767129624
mbl	extractionPatterns(stadium, sold-out concert at _ 0.34374987281298963)	0.34374987281298963
mbl	extractionPatterns(stadium, south end zone of _ 0.31249994056428093)	0.31249994056428093
mbl	extractionPatterns(stadium, Springsteen concert at _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(stadium, stadium was renamed _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(stadium, Stadium was renamed _ 0.34615383254489884)	0.34615383254489884
mbl	extractionPatterns(stadium, _ was the first stadium 0.4642857851884937)	0.4642857851884937
mbl	extractionPatterns(stadium, Yankees play at _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(stadium, Yankees played at _ 0.42857136873737717)	0.42857136873737717
mbl	extractionPatterns(stateHasCapital, arg1 and the City of arg2 0.0049771044141044204)	0.0049771044141044204
mbl	extractionPatterns(stateHasCapital, arg1 and used car dealers in arg2 0.0051993066438820994)	0.0051993066438820994
mbl	extractionPatterns(stateHasCapital, arg1 Attorney General in arg2 0.004158004530336051)	0.004158004530336051
mbl	extractionPatterns(stateHasCapital, arg1 Canada covering arg2 0.009950246044767835)	0.009950246044767835
mbl	extractionPatterns(stateHasCapital, arg1 cities like arg2 0.002724795226306762)	0.002724795226306762
mbl	extractionPatterns(stateHasCapital, arg1 Democratic Party in arg2 0.009950246044767835)	0.009950246044767835
mbl	extractionPatterns(stateHasCapital, arg1 Department of Transportation in arg2 0.028571430328269018)	0.028571430328269018
mbl	extractionPatterns(stateHasCapital, arg1 General Assembly in arg2 0.002724795226306762)	0.002724795226306762
mbl	extractionPatterns(stateHasCapital, arg1 government and the City of arg2 0.009950246044767835)	0.009950246044767835
mbl	extractionPatterns(stateHasCapital, arg1 Historical Center in arg2 0.13934422058615123)	0.13934422058615123
mbl	extractionPatterns(stateHasCapital, arg1 Historical Library in arg2 0.021428574298740073)	0.021428574298740073
mbl	extractionPatterns(stateHasCapital, arg1 Historical Society in arg2 0.04736844449168159)	0.04736844449168159
mbl	extractionPatterns(stateHasCapital, arg1 History Museum in arg2 0.002724795226306762)	0.002724795226306762
mbl	extractionPatterns(stateHasCapital, arg1 House of Representatives in arg2 0.01704544954039918)	0.01704544954039918
mbl	extractionPatterns(stateHasCapital, arg1 including cities such as arg2 0.004347827430101057)	0.004347827430101057
mbl	extractionPatterns(stateHasCapital, arg1 is part of MetroGuide arg2 0.004347827430101057)	0.004347827430101057
mbl	extractionPatterns(stateHasCapital, arg1 is the city of arg2 0.0010932941328473521)	0.0010932941328473521
mbl	extractionPatterns(stateHasCapital, arg1 Legislature in arg2 0.004347827430101057)	0.004347827430101057
mbl	extractionPatterns(stateHasCapital, arg1 School for the Deaf in arg2 0.009950246044767835)	0.009950246044767835
mbl	extractionPatterns(stateHasCapital, arg1 State Archives in arg2 0.07575756284790451)	0.07575756284790451
mbl	extractionPatterns(stateHasCapital, arg1 State Board of Education in arg2 0.02097902814528369)	0.02097902814528369
mbl	extractionPatterns(stateHasCapital, arg1 State Capital in arg2 0.009950246044767835)	0.009950246044767835
mbl	extractionPatterns(stateHasCapital, arg1 state capital of arg2 0.004347827430101057)	0.004347827430101057
mbl	extractionPatterns(stateHasCapital, arg1 State Capitol Building in arg2 0.02097902814528369)	0.02097902814528369
mbl	extractionPatterns(stateHasCapital, arg1 State Capitol building in arg2 0.045454566061746304)	0.045454566061746304
mbl	extractionPatterns(stateHasCapital, arg1 state capitol in arg2 0.028571430328269018)	0.028571430328269018
mbl	extractionPatterns(stateHasCapital, arg1 State Capitol in arg2 0.1328124893568584)	0.1328124893568584
mbl	extractionPatterns(stateHasCapital, arg1 State Fairgrounds in arg2 0.10655734372568025)	0.10655734372568025
mbl	extractionPatterns(stateHasCapital, arg1 State Fair in arg2 0.04230770746303628)	0.04230770746303628
mbl	extractionPatterns(stateHasCapital, arg1 Statehouse in arg2 0.053030291020587754)	0.053030291020587754
mbl	extractionPatterns(stateHasCapital, arg1 State Library in arg2 0.08496728320982302)	0.08496728320982302
mbl	extractionPatterns(stateHasCapital, arg1 State Museum in arg2 0.06493503307920155)	0.06493503307920155
mbl	extractionPatterns(stateHasCapital, arg1 State Penitentiary in arg2 0.09016391386298388)	0.09016391386298388
mbl	extractionPatterns(stateHasCapital, arg1 State University in arg2 0.021450056490968372)	0.021450056490968372
mbl	extractionPatterns(stateHasCapital, arg1 The table below shows arg2 0.020134228535785566)	0.020134228535785566
mbl	extractionPatterns(stateHasCapital, arg2 and central arg1 0.001643115736876272)	0.001643115736876272
mbl	extractionPatterns(stateHasCapital, arg2 and Central arg1 0.002128923129735505)	0.002128923129735505
mbl	extractionPatterns(stateHasCapital, arg2 and other cities in arg1 0.004524885527229851)	0.004524885527229851
mbl	extractionPatterns(stateHasCapital, arg2 and Southern arg1 0.0012088243539458727)	0.0012088243539458727
mbl	extractionPatterns(stateHasCapital, arg2 and throughout arg1 9.048286221380084E-4)	9.048286221380084E-4
mbl	extractionPatterns(stateHasCapital, arg2 baskets in arg1 0.010460249163780041)	0.010460249163780041
mbl	extractionPatterns(stateHasCapital, arg2 is the biggest city in arg1 0.02097902814528369)	0.02097902814528369
mbl	extractionPatterns(stateHasCapital, arg2 is the capital city of arg1 0.005594406610204943)	0.005594406610204943
mbl	extractionPatterns(stateHasCapital, arg2 is the capital of arg1 0.011428569067012461)	0.011428569067012461
mbl	extractionPatterns(stateHasCapital, arg2 is the largest city in arg1 0.004081633512427548)	0.004081633512427548
mbl	extractionPatterns(stateHasCapital, arg2 or anywhere in arg1 0.010920440179497393)	0.010920440179497393
mbl	extractionPatterns(stateHasCapital, arg2 or elsewhere in arg1 0.007633590253444304)	0.007633590253444304
mbl	extractionPatterns(stateHasCapital, arg2 Police Department in arg1 0.004347827430101057)	0.004347827430101057
mbl	extractionPatterns(stateHasCapital, arg2 Public Schools in arg1 0.002724795226306762)	0.002724795226306762
mbl	extractionPatterns(stateHasCapital, arg2 the capital of arg1 0.00886262750680271)	0.00886262750680271
mbl	extractionPatterns(stateLocatedInCountry, arg1 and all across arg2 0.02620086116138759)	0.02620086116138759
mbl	extractionPatterns(stateLocatedInCountry, arg1 and DD in arg2 0.004608296560094573)	0.004608296560094573
mbl	extractionPatterns(stateLocatedInCountry, arg1 and Illinois in arg2 0.004608296560094573)	0.004608296560094573
mbl	extractionPatterns(stateLocatedInCountry, arg1 and New Jersey in arg2 0.008219178615734662)	0.008219178615734662
mbl	extractionPatterns(stateLocatedInCountry, arg1 and ninth in arg2 0.006912444092850174)	0.006912444092850174
mbl	extractionPatterns(stateLocatedInCountry, arg1 and other jurisdictions in arg2 0.004608296560094573)	0.004608296560094573
mbl	extractionPatterns(stateLocatedInCountry, arg1 and other regions of arg2 0.017467242662609832)	0.017467242662609832
mbl	extractionPatterns(stateLocatedInCountry, arg1 and other universities in arg2 0.0076530577892024495)	0.0076530577892024495
mbl	extractionPatterns(stateLocatedInCountry, arg1 and the applicable laws of arg2 0.05084746552055705)	0.05084746552055705
mbl	extractionPatterns(stateLocatedInCountry, arg1 and the country of arg2 0.010958904026987409)	0.010958904026987409
mbl	extractionPatterns(stateLocatedInCountry, arg1 and the eighth largest in arg2 0.008219178615734662)	0.008219178615734662
mbl	extractionPatterns(stateLocatedInCountry, arg1 and the federal government of arg2 0.011627910421552923)	0.011627910421552923
mbl	extractionPatterns(stateLocatedInCountry, arg1 and the federal laws of arg2 0.28813562199053633)	0.28813562199053633
mbl	extractionPatterns(stateLocatedInCountry, arg1 and the fourth largest in arg2 0.05240176526286297)	0.05240176526286297
mbl	extractionPatterns(stateLocatedInCountry, arg1 and the largest city in arg2 0.0076530577892024495)	0.0076530577892024495
mbl	extractionPatterns(stateLocatedInCountry, arg1 and the laws of arg2 0.05393260863739667)	0.05393260863739667
mbl	extractionPatterns(stateLocatedInCountry, arg1 and the remainder of arg2 0.004608296560094573)	0.004608296560094573
mbl	extractionPatterns(stateLocatedInCountry, arg1 and the second in arg2 0.0065359471986433885)	0.0065359471986433885
mbl	extractionPatterns(stateLocatedInCountry, arg1 and the second largest in arg2 0.008219178615734662)	0.008219178615734662
mbl	extractionPatterns(stateLocatedInCountry, arg1 and the Supreme Court of arg2 0.021739139054112466)	0.021739139054112466
mbl	extractionPatterns(stateLocatedInCountry, arg1 and the west coast of arg2 0.015306128120854223)	0.015306128120854223
mbl	extractionPatterns(stateLocatedInCountry, arg1 became a part of arg2 0.011523682653690165)	0.011523682653690165
mbl	extractionPatterns(stateLocatedInCountry, arg1 became a province of arg2 0.015306128120854223)	0.015306128120854223
mbl	extractionPatterns(stateLocatedInCountry, arg1 became a state of arg2 0.006696428194733553)	0.006696428194733553
mbl	extractionPatterns(stateLocatedInCountry, arg1 became part of arg2 0.006621422850686172)	0.006621422850686172
mbl	extractionPatterns(stateLocatedInCountry, arg1 became the first jurisdiction in arg2 0.011627910421552923)	0.011627910421552923
mbl	extractionPatterns(stateLocatedInCountry, arg1 became the first state in arg2 0.012755101114239342)	0.012755101114239342
mbl	extractionPatterns(stateLocatedInCountry, arg1 but across arg2 0.01465202101194379)	0.01465202101194379
mbl	extractionPatterns(stateLocatedInCountry, arg1 from elsewhere in arg2 0.0050933780729209635)	0.0050933780729209635
mbl	extractionPatterns(stateLocatedInCountry, arg1 hotel booking in arg2 0.010204086517047822)	0.010204086517047822
mbl	extractionPatterns(stateLocatedInCountry, arg1 in the country of arg2 0.0053547514003370374)	0.0053547514003370374
mbl	extractionPatterns(stateLocatedInCountry, arg1 is a state in arg2 0.011415525090666043)	0.011415525090666043
mbl	extractionPatterns(stateLocatedInCountry, arg1 is still part of arg2 0.011627910421552923)	0.011627910421552923
mbl	extractionPatterns(stateLocatedInCountry, arg1 is the first state in arg2 0.017857137334557092)	0.017857137334557092
mbl	extractionPatterns(stateLocatedInCountry, arg1 law and the laws of arg2 0.0076530577892024495)	0.0076530577892024495
mbl	extractionPatterns(stateLocatedInCountry, arg1 or anywhere else in arg2 0.03174601732799018)	0.03174601732799018
mbl	extractionPatterns(stateLocatedInCountry, arg1 or the rest of arg2 0.032573278651244666)	0.032573278651244666
mbl	extractionPatterns(stateLocatedInCountry, arg1 Province of arg2 0.0045167119253592455)	0.0045167119253592455
mbl	extractionPatterns(stateLocatedInCountry, arg1 ranks first in arg2 0.006849312477454848)	0.006849312477454848
mbl	extractionPatterns(stateLocatedInCountry, arg1 secedes from arg2 0.03930132679459825)	0.03930132679459825
mbl	extractionPatterns(stateLocatedInCountry, arg1 state in arg2 0.007732755589678578)	0.007732755589678578
mbl	extractionPatterns(stateLocatedInCountry, arg1 than any other state in arg2 0.006849312477454848)	0.006849312477454848
mbl	extractionPatterns(stateLocatedInCountry, arg1 than anywhere else in arg2 0.012610342101397363)	0.012610342101397363
mbl	extractionPatterns(stateLocatedInCountry, arg1 to secede from arg2 0.005084747024906879)	0.005084747024906879
mbl	extractionPatterns(stateLocatedInCountry, arg1 to the Supreme Court of arg2 0.0068610622657332195)	0.0068610622657332195
mbl	extractionPatterns(stateLocatedInCountry, arg1 was the first state in arg2 0.011627910421552923)	0.011627910421552923
mbl	extractionPatterns(stateLocatedInCountry, arg2 and specifically in arg1 0.006696428194733553)	0.006696428194733553
mbl	extractionPatterns(stateLocatedInCountry, arg2 and the largest in arg1 0.015503879438786849)	0.015503879438786849
mbl	extractionPatterns(stateLocatedInCountry, arg2 and the State of arg1 0.05676036478011331)	0.05676036478011331
mbl	extractionPatterns(stateLocatedInCountry, arg2 westward to arg1 0.0066225154755956105)	0.0066225154755956105
mbl	extractionPatterns(stateOrProvince, American state of _ 0.7087375430770713)	0.7087375430770713
mbl	extractionPatterns(stateOrProvince, beautiful state of _ 0.6164703818183636)	0.6164703818183636
mbl	extractionPatterns(stateOrProvince, big island of _ 0.6935062687324306)	0.6935062687324306
mbl	extractionPatterns(stateOrProvince, Canada province of _ 0.9056602891872323)	0.9056602891872323
mbl	extractionPatterns(stateOrProvince, Canadian province of _ 0.8934820804855956)	0.8934820804855956
mbl	extractionPatterns(stateOrProvince, Canadian provinces of _ 0.9080462187220715)	0.9080462187220715
mbl	extractionPatterns(stateOrProvince, career institutes in _ 0.520000243051522)	0.520000243051522
mbl	extractionPatterns(stateOrProvince, comfortable properties throughout _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(stateOrProvince, computer colleges in _ 0.5600002773417163)	0.5600002773417163
mbl	extractionPatterns(stateOrProvince, congressman from _ 0.49789901681476934)	0.49789901681476934
mbl	extractionPatterns(stateOrProvince, Disclaimers are predicated on applicable _ 0.8627450970091538)	0.8627450970091538
mbl	extractionPatterns(stateOrProvince, Drug addiction in _ 0.60150405626947)	0.60150405626947
mbl	extractionPatterns(stateOrProvince, eastern state of _ 0.6643833245951142)	0.6643833245951142
mbl	extractionPatterns(stateOrProvince, entire state of _ 0.4819113996411768)	0.4819113996411768
mbl	extractionPatterns(stateOrProvince, family camping in _ 0.4864865617693322)	0.4864865617693322
mbl	extractionPatterns(stateOrProvince, former governor of _ 0.39454542483068183)	0.39454542483068183
mbl	extractionPatterns(stateOrProvince, good churches in _ 0.6012659078196925)	0.6012659078196925
mbl	extractionPatterns(stateOrProvince, great state of _ 0.7019732367295195)	0.7019732367295195
mbl	extractionPatterns(stateOrProvince, gross state domestic product of _ 0.6153845020195187)	0.6153845020195187
mbl	extractionPatterns(stateOrProvince, home state of _ 0.6470316937356042)	0.6470316937356042
mbl	extractionPatterns(stateOrProvince, Indian states of _ 0.5087721525894209)	0.5087721525894209
mbl	extractionPatterns(stateOrProvince, investment advising available in _ 0.729411670936523)	0.729411670936523
mbl	extractionPatterns(stateOrProvince, _ is the only state 0.34539693053694437)	0.34539693053694437
mbl	extractionPatterns(stateOrProvince, Junk yard in _ 0.5714284502488258)	0.5714284502488258
mbl	extractionPatterns(stateOrProvince, Library Science courses in _ 0.5294116412047185)	0.5294116412047185
mbl	extractionPatterns(stateOrProvince, LLB courses in _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(stateOrProvince, Local markets in _ 0.6363637151092231)	0.6363637151092231
mbl	extractionPatterns(stateOrProvince, professional engineer in _ 0.5023254814342977)	0.5023254814342977
mbl	extractionPatterns(stateOrProvince, _ providing various music courses 0.5600002773417163)	0.5600002773417163
mbl	extractionPatterns(stateOrProvince, provincial bird of _ 0.6800003269522281)	0.6800003269522281
mbl	extractionPatterns(stateOrProvince, rugged coast of _ 0.4862385168796531)	0.4862385168796531
mbl	extractionPatterns(stateOrProvince, _ said dyetter 0.782609054112853)	0.782609054112853
mbl	extractionPatterns(stateOrProvince, senator from _ 0.5336815319738013)	0.5336815319738013
mbl	extractionPatterns(stateOrProvince, _ singles data 0.802469043339414)	0.802469043339414
mbl	extractionPatterns(stateOrProvince, _ singles statistics 0.9898993576109144)	0.9898993576109144
mbl	extractionPatterns(stateOrProvince, _ singles stats 0.9753089367189083)	0.9753089367189083
mbl	extractionPatterns(stateOrProvince, southern Mexican state of _ 0.5600002773417163)	0.5600002773417163
mbl	extractionPatterns(stateOrProvince, state bird of _ 0.548507678651616)	0.548507678651616
mbl	extractionPatterns(stateOrProvince, state except _ 0.6361028594650895)	0.6361028594650895
mbl	extractionPatterns(stateOrProvince, state flower of _ 0.5963300440521359)	0.5963300440521359
mbl	extractionPatterns(stateOrProvince, states except _ 0.5677421071923584)	0.5677421071923584
mbl	extractionPatterns(stateOrProvince, states , including _ 0.4376818510517979)	0.4376818510517979
mbl	extractionPatterns(stateOrProvince, states other than _ 0.5480986445120455)	0.5480986445120455
mbl	extractionPatterns(stateOrProvince, U.S. state of _ 0.7641256805554334)	0.7641256805554334
mbl	extractionPatterns(stateOrProvince, US state of _ 0.8271336407304429)	0.8271336407304429
mbl	extractionPatterns(stateOrProvince, various law colleges in _ 0.5333331516919638)	0.5333331516919638
mbl	extractionPatterns(stateOrProvince, wall maps of _ 0.48333320391390355)	0.48333320391390355
mbl	extractionPatterns(stateOrProvince, _ was the first state 0.541666922813532)	0.541666922813532
mbl	extractionPatterns(stateOrProvince, whole state of _ 0.49056622195846167)	0.49056622195846167
mbl	extractionPatterns(stateOrProvince, women polytechnics in _ 0.4925373419628073)	0.4925373419628073
mbl	extractionPatterns(teamHomeStadium, arg1 at home at arg2 0.003062786979223544)	0.003062786979223544
mbl	extractionPatterns(teamHomeStadium, arg1 basketball at arg2 0.004434590505289339)	0.004434590505289339
mbl	extractionPatterns(teamHomeStadium, arg1 basketball games at arg2 0.03389831401172234)	0.03389831401172234
mbl	extractionPatterns(teamHomeStadium, arg1 game at arg2 0.0016737962981702675)	0.0016737962981702675
mbl	extractionPatterns(teamHomeStadium, arg1 is homed in arg2 0.004434590505289339)	0.004434590505289339
mbl	extractionPatterns(teamHomeStadium, arg1 meet at arg2 0.0010860706547111308)	0.0010860706547111308
mbl	extractionPatterns(teamHomeStadium, arg1 on Friday at arg2 0.004895959528715532)	0.004895959528715532
mbl	extractionPatterns(teamHomeStadium, arg1 on Monday at arg2 0.007518797956554604)	0.007518797956554604
mbl	extractionPatterns(teamHomeStadium, arg1 on Saturday at arg2 0.0030234309992292797)	0.0030234309992292797
mbl	extractionPatterns(teamHomeStadium, arg1 on Sunday at arg2 0.0021367527690548936)	0.0021367527690548936
mbl	extractionPatterns(teamHomeStadium, arg1 on Thursday at arg2 0.003968254315521535)	0.003968254315521535
mbl	extractionPatterns(teamHomeStadium, arg1 on Thursday night at arg2 0.0052770449842875)	0.0052770449842875
mbl	extractionPatterns(teamHomeStadium, arg1 on Wednesday at arg2 0.011881187644126401)	0.011881187644126401
mbl	extractionPatterns(teamHomeStadium, arg1 play at arg2 0.00270544464842108)	0.00270544464842108
mbl	extractionPatterns(teamHomeStadium, arg1 play their home games at arg2 0.003062786979223544)	0.003062786979223544
mbl	extractionPatterns(teamHomeStadium, arg1 this evening at arg2 0.0052770449842875)	0.0052770449842875
mbl	extractionPatterns(teamHomeStadium, arg1 Tickets at arg2 9.81354301494333E-4)	9.81354301494333E-4
mbl	extractionPatterns(teamHomeStadium, arg1 tonight at arg2 0.002764976895778203)	0.002764976895778203
mbl	extractionPatterns(teamHomeStadium, arg2 also offers arg1 3.515927870517762E-5)	3.515927870517762E-5
mbl	extractionPatterns(teamHomeStadium, arg2 and cheer arg1 0.005940594894696595)	0.005940594894696595
mbl	extractionPatterns(teamHomeStadium, arg2 and watch arg1 5.888412666365424E-5)	5.888412666365424E-5
mbl	extractionPatterns(teamHomeStadium, arg2 home of arg1 4.466277876725452E-4)	4.466277876725452E-4
mbl	extractionPatterns(teamHomeStadium, arg2 Home of arg1 9.835254927833168E-4)	9.835254927833168E-4
mbl	extractionPatterns(teamHomeStadium, arg2 is home of arg1 0.0022522512667394615)	0.0022522512667394615
mbl	extractionPatterns(teamHomeStadium, arg2 is the home of arg1 4.3655420910768204E-4)	4.3655420910768204E-4
mbl	extractionPatterns(teamHomeStadium, arg2 to watch arg1 2.0209170064181846E-4)	2.0209170064181846E-4
mbl	extractionPatterns(teammates, arg1 scored points and arg2 0.005555554727167898)	0.005555554727167898
mbl	extractionPatterns(teammates, arg1 scored twice and arg2 0.016260165444105492)	0.016260165444105492
mbl	extractionPatterns(teammates, arg2 scored points and arg1 0.005555554727167898)	0.005555554727167898
mbl	extractionPatterns(teammates, arg2 scored twice and arg1 0.016260165444105492)	0.016260165444105492
mbl	extractionPatterns(teamPlaysAgainstTeam, arg1 by knocking off arg2 8.55798163439388E-4)	8.55798163439388E-4
mbl	extractionPatterns(teamPlaysAgainstTeam, arg1 defeat arg2 0.001360081030172314)	0.001360081030172314
mbl	extractionPatterns(teamPlaysAgainstTeam, arg1 defeated arg2 9.563889205280139E-5)	9.563889205280139E-5
mbl	extractionPatterns(teamPlaysAgainstTeam, arg1 game against arg2 9.840587080887002E-4)	9.840587080887002E-4
mbl	extractionPatterns(teamPlaysAgainstTeam, arg1 lost to arg2 0.001314845645618167)	0.001314845645618167
mbl	extractionPatterns(teamPlaysAgainstTeam, arg1 visit arg2 2.3069686083675698E-4)	2.3069686083675698E-4
mbl	extractionPatterns(teamPlaysAgainstTeam, arg2 by knocking off arg1 8.55798163439388E-4)	8.55798163439388E-4
mbl	extractionPatterns(teamPlaysAgainstTeam, arg2 defeat arg1 0.001360081030172314)	0.001360081030172314
mbl	extractionPatterns(teamPlaysAgainstTeam, arg2 defeated arg1 9.563889205280139E-5)	9.563889205280139E-5
mbl	extractionPatterns(teamPlaysAgainstTeam, arg2 lost to arg1 0.001314845645618167)	0.001314845645618167
mbl	extractionPatterns(teamPlaysAgainstTeam, arg2 play arg1 5.07511134693654E-5)	5.07511134693654E-5
mbl	extractionPatterns(teamPlaysAgainstTeam, arg2 played arg1 3.854604720682996E-5)	3.854604720682996E-5
mbl	extractionPatterns(teamPlaysAgainstTeam, arg2 swept arg1 4.363002084793337E-4)	4.363002084793337E-4
mbl	extractionPatterns(teamPlaysAgainstTeam, arg2 visit arg1 2.3069686083675698E-4)	2.3069686083675698E-4
mbl	extractionPatterns(teamPlaysInCity, arg1 are currently based in arg2 0.04444445818712987)	0.04444445818712987
mbl	extractionPatterns(teamPlaysInCity, arg1 game in arg2 0.001018434127890167)	0.001018434127890167
mbl	extractionPatterns(teamPlaysInCity, arg1 games in arg2 5.451077916573269E-4)	5.451077916573269E-4
mbl	extractionPatterns(teamPlaysInCity, arg1 tonight in arg2 0.0012106534788389877)	0.0012106534788389877
mbl	extractionPatterns(teamPlaysInCity, arg2 and beat arg1 8.663011167204837E-4)	8.663011167204837E-4
mbl	extractionPatterns(teamPlaysInCity, arg2 for a game against arg1 0.034883721194839463)	0.034883721194839463
mbl	extractionPatterns(teamPlaysInCity, arg2 to face arg1 3.288081855062916E-4)	3.288081855062916E-4
mbl	extractionPatterns(teamPlaysInCity, arg2 tonight to play arg1 0.04255320941064689)	0.04255320941064689
mbl	extractionPatterns(teamPlaysInCity, arg2 to take on arg1 8.183307199112524E-4)	8.183307199112524E-4
mbl	extractionPatterns(teamPlaysInLeague, arg1 dominance in arg2 0.00440528642062292)	0.00440528642062292
mbl	extractionPatterns(teamPlaysInLeague, arg1 have dominated arg2 0.002004008207918884)	0.002004008207918884
mbl	extractionPatterns(teamPlaysInLeague, arg1 have the best record in arg2 0.122448958638684)	0.122448958638684
mbl	extractionPatterns(teamPlaysInLeague, arg1 the best team in arg2 0.09090911570894615)	0.09090911570894615
mbl	extractionPatterns(teamPlaysInLeague, arg2 career with arg1 0.0015612804392455839)	0.0015612804392455839
mbl	extractionPatterns(teamPlaysInLeague, arg2 debut with arg1 0.0024721872348543407)	0.0024721872348543407
mbl	extractionPatterns(teamPlaysInLeague, arg2 Most Valuable Player and arg1 0.09090911570894615)	0.09090911570894615
mbl	extractionPatterns(teamPlaysInLeague, arg2 seasons with arg1 0.017241379492179642)	0.017241379492179642
mbl	extractionPatterns(teamPlaysSport, arg1 are playing their best arg2 0.07407405077366172)	0.07407405077366172
mbl	extractionPatterns(teamPlaysSport, arg1 of fantasy arg2 4.5913696211797585E-4)	4.5913696211797585E-4
mbl	extractionPatterns(teamPlaysSport, arg1 played great arg2 0.011235959210474253)	0.011235959210474253
mbl	extractionPatterns(teamPlaysSport, arg1 played their best arg2 0.047058818605667345)	0.047058818605667345
mbl	extractionPatterns(teamPlaysSport, arg1 were playing their best arg2 0.03030301701413868)	0.03030301701413868
mbl	extractionPatterns(teamPlaysSport, arg1 were the best team in arg2 0.08333330414900512)	0.08333330414900512
mbl	extractionPatterns(teamPlaysSport, arg1 will play arg2 1.1223339174691024E-4)	1.1223339174691024E-4
mbl	extractionPatterns(teamPlaysSport, arg2 and the New York arg1 3.212335915328049E-4)	3.212335915328049E-4
mbl	extractionPatterns(teamPlaysSport, arg2 days with the New York arg1 0.18181819858880538)	0.18181819858880538
mbl	extractionPatterns(teamPlaysSport, arg2 for the Cleveland arg1 0.0047393371254790305)	0.0047393371254790305
mbl	extractionPatterns(teamPlaysSport, arg2 for the New York arg1 8.237232056173341E-4)	8.237232056173341E-4
mbl	extractionPatterns(teamPlaysSport, arg2 for the Pittsburgh arg1 0.006729475991141773)	0.006729475991141773
mbl	extractionPatterns(teamPlaysSport, arg2 game between arg1 0.003144655291761794)	0.003144655291761794
mbl	extractionPatterns(teamPlaysSport, arg2 game between the arg1 0.014150943198168437)	0.014150943198168437
mbl	extractionPatterns(teamPlaysSport, arg2 game but arg1 0.008163265550896179)	0.008163265550896179
mbl	extractionPatterns(teamPlaysSport, arg2 operations for arg1 0.0010270455464426202)	0.0010270455464426202
mbl	extractionPatterns(teamPlaysSport, arg2 player for arg1 0.0023640666171307182)	0.0023640666171307182
mbl	extractionPatterns(teamPlaysSport, arg2 player for the New York arg1 0.05882354965036912)	0.05882354965036912
mbl	extractionPatterns(teamPlaysSport, arg2 player for the Pittsburgh arg1 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(teamPlaysSport, arg2 team Chicago arg1 0.03030301701413868)	0.03030301701413868
mbl	extractionPatterns(teamPlaysSport, arg2 team is arg1 0.0010351965157479625)	0.0010351965157479625
mbl	extractionPatterns(teamPlaysSport, arg2 team is the Chicago arg1 0.3999998927496764)	0.3999998927496764
mbl	extractionPatterns(teamPlaysSport, arg2 team is the New York arg1 0.16666674487136082)	0.16666674487136082
mbl	extractionPatterns(teamPlaysSport, arg2 team named the Pittsburgh arg1 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(teamPlaysSport, arg2 with the Cleveland arg1 0.003831419185144737)	0.003831419185144737
mbl	extractionPatterns(teamPlaysSport, arg2 with the Pittsburgh arg1 0.008561644438305904)	0.008561644438305904
mbl	extractionPatterns(teamWonTrophy, arg1 advanced to arg2 0.0022212348477846167)	0.0022212348477846167
mbl	extractionPatterns(teamWonTrophy, arg1 are going to arg2 0.0036447336095208134)	0.0036447336095208134
mbl	extractionPatterns(teamWonTrophy, arg1 are going to win arg2 0.02352941355130292)	0.02352941355130292
mbl	extractionPatterns(teamWonTrophy, arg1 are playing in arg2 0.004658387130914625)	0.004658387130914625
mbl	extractionPatterns(teamWonTrophy, arg1 are winning arg2 0.002063984378391979)	0.002063984378391979
mbl	extractionPatterns(teamWonTrophy, arg1 can win arg2 0.0022281647821046115)	0.0022281647821046115
mbl	extractionPatterns(teamWonTrophy, arg1 did not win arg2 0.002063984378391979)	0.002063984378391979
mbl	extractionPatterns(teamWonTrophy, arg1 did win arg2 0.008379885735189692)	0.008379885735189692
mbl	extractionPatterns(teamWonTrophy, arg1 finally won arg2 0.03389831401172234)	0.03389831401172234
mbl	extractionPatterns(teamWonTrophy, arg1 go on to win arg2 0.008379885735189692)	0.008379885735189692
mbl	extractionPatterns(teamWonTrophy, arg1 had won arg2 0.003770740038882883)	0.003770740038882883
mbl	extractionPatterns(teamWonTrophy, arg1 have finally won arg2 0.008379885735189692)	0.008379885735189692
mbl	extractionPatterns(teamWonTrophy, arg1 have not won arg2 0.03864735271828269)	0.03864735271828269
mbl	extractionPatterns(teamWonTrophy, arg1 have won arg2 0.0015647409435027282)	0.0015647409435027282
mbl	extractionPatterns(teamWonTrophy, arg1 head to arg2 7.601673131739661E-4)	7.601673131739661E-4
mbl	extractionPatterns(teamWonTrophy, arg1 just won arg2 0.019455256273562926)	0.019455256273562926
mbl	extractionPatterns(teamWonTrophy, arg1 last reached arg2 0.004158004530336051)	0.004158004530336051
mbl	extractionPatterns(teamWonTrophy, arg1 last won arg2 0.008379885735189692)	0.008379885735189692
mbl	extractionPatterns(teamWonTrophy, arg1 lost the DDDD arg2 0.004158004530336051)	0.004158004530336051
mbl	extractionPatterns(teamWonTrophy, arg1 made it to arg2 0.0017276122951617144)	0.0017276122951617144
mbl	extractionPatterns(teamWonTrophy, arg1 make it to arg2 0.0033361127403090727)	0.0033361127403090727
mbl	extractionPatterns(teamWonTrophy, arg1 making it to arg2 0.004158004530336051)	0.004158004530336051
mbl	extractionPatterns(teamWonTrophy, arg1 might win arg2 0.004158004530336051)	0.004158004530336051
mbl	extractionPatterns(teamWonTrophy, arg1 move on to arg2 0.0025706949707416586)	0.0025706949707416586
mbl	extractionPatterns(teamWonTrophy, arg1 should win arg2 0.004158004530336051)	0.004158004530336051
mbl	extractionPatterns(teamWonTrophy, arg1 their second arg2 0.002063984378391979)	0.002063984378391979
mbl	extractionPatterns(teamWonTrophy, arg1 to their first arg2 0.00201308481415588)	0.00201308481415588
mbl	extractionPatterns(teamWonTrophy, arg1 to win arg2 8.344088899766805E-4)	8.344088899766805E-4
mbl	extractionPatterns(teamWonTrophy, arg1 victory in arg2 0.0024067379405429057)	0.0024067379405429057
mbl	extractionPatterns(teamWonTrophy, arg1 went on to win arg2 0.01277372438914048)	0.01277372438914048
mbl	extractionPatterns(teamWonTrophy, arg1 were going to arg2 0.0010065425888191985)	0.0010065425888191985
mbl	extractionPatterns(teamWonTrophy, arg1 were going to win arg2 0.03864735271828269)	0.03864735271828269
mbl	extractionPatterns(teamWonTrophy, arg1 were playing in arg2 0.007672636352818104)	0.007672636352818104
mbl	extractionPatterns(teamWonTrophy, arg1 will never win arg2 0.007672636352818104)	0.007672636352818104
mbl	extractionPatterns(teamWonTrophy, arg1 will not win arg2 0.007672636352818104)	0.007672636352818104
mbl	extractionPatterns(teamWonTrophy, arg1 will win arg2 0.004716124015014434)	0.004716124015014434
mbl	extractionPatterns(teamWonTrophy, arg1 win arg2 0.004823376873792914)	0.004823376873792914
mbl	extractionPatterns(teamWonTrophy, arg1 win first arg2 7.601673131739661E-4)	7.601673131739661E-4
mbl	extractionPatterns(teamWonTrophy, arg1 winning their second arg2 0.01568627739668317)	0.01568627739668317
mbl	extractionPatterns(teamWonTrophy, arg1 win second arg2 0.007672636352818104)	0.007672636352818104
mbl	extractionPatterns(teamWonTrophy, arg1 win the DDDD arg2 0.04347827025779013)	0.04347827025779013
mbl	extractionPatterns(teamWonTrophy, arg1 won arg2 0.002758415109163312)	0.002758415109163312
mbl	extractionPatterns(teamWonTrophy, arg1 won the first arg2 0.0018867924651814476)	0.0018867924651814476
mbl	extractionPatterns(teamWonTrophy, arg1 won their first arg2 0.03351956435573486)	0.03351956435573486
mbl	extractionPatterns(teamWonTrophy, arg1 won their second arg2 0.027450991265577804)	0.027450991265577804
mbl	extractionPatterns(teamWonTrophy, arg1 won their third arg2 0.02352941355130292)	0.02352941355130292
mbl	extractionPatterns(teamWonTrophy, arg1 would be playing in arg2 7.601673131739661E-4)	7.601673131739661E-4
mbl	extractionPatterns(teamWonTrophy, arg1 would win arg2 0.006781750666243447)	0.006781750666243447
mbl	extractionPatterns(teamWonTrophy, arg2 loss to arg1 9.111618632795778E-4)	9.111618632795778E-4
mbl	extractionPatterns(teamWonTrophy, arg2 win by arg1 0.007228917336597219)	0.007228917336597219
mbl	extractionPatterns(tool, analyzers , digital _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(tool, axes , small _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(tool, _ clanking in 0.09523811972985817)	0.09523811972985817
mbl	extractionPatterns(tool, clones were used as _ 0.2727272683991621)	0.2727272683991621
mbl	extractionPatterns(tool, construction workers using _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(tool, dwarves with _ 0.13333333607230202)	0.13333333607230202
mbl	extractionPatterns(tool, farm implements such as _ 0.3636363315194487)	0.3636363315194487
mbl	extractionPatterns(tool, fragments used as _ 0.5999997742596369)	0.5999997742596369
mbl	extractionPatterns(tool, fragments were used as _ 0.3999998927496764)	0.3999998927496764
mbl	extractionPatterns(tool, grinders , electric _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(tool, guns , electric _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(tool, hand tools including _ 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(tool, human genes as _ 0.13333333607230202)	0.13333333607230202
mbl	extractionPatterns(tool, Key parameters of _ 0.13333333607230202)	0.13333333607230202
mbl	extractionPatterns(tool, lists using standard _ 0.13333333607230202)	0.13333333607230202
mbl	extractionPatterns(tool, mob wielding _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(tool, oligonucleotides were used as _ 0.2727272683991621)	0.2727272683991621
mbl	extractionPatterns(tool, PCR products were used as _ 0.6999999607571137)	0.6999999607571137
mbl	extractionPatterns(tool, people wielding _ 0.11428568004223633)	0.11428568004223633
mbl	extractionPatterns(tool, power equipment , including _ 0.250000090279989)	0.250000090279989
mbl	extractionPatterns(tool, power equipment including _ 0.2666666239952886)	0.2666666239952886
mbl	extractionPatterns(tool, power equipment , such as _ 0.13333333607230202)	0.13333333607230202
mbl	extractionPatterns(tool, power tools including _ 0.23076924664463755)	0.23076924664463755
mbl	extractionPatterns(tool, power tools , like _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(tool, rocks with small _ 0.13333333607230202)	0.13333333607230202
mbl	extractionPatterns(tool, saws , electric _ 0.13333333607230202)	0.13333333607230202
mbl	extractionPatterns(tool, short handled _ 0.10666662099803373)	0.10666662099803373
mbl	extractionPatterns(tool, _ slung behind 0.19999998248682085)	0.19999998248682085
mbl	extractionPatterns(tool, stone tools include _ 0.3999998927496764)	0.3999998927496764
mbl	extractionPatterns(tool, test equipment , including _ 0.11111106414847875)	0.11111106414847875
mbl	extractionPatterns(tool, test equipment including _ 0.2368420063555864)	0.2368420063555864
mbl	extractionPatterns(tool, types of hand-held _ 0.2727272683991621)	0.2727272683991621
mbl	extractionPatterns(tool, _ used blades 0.09523811972985817)	0.09523811972985817
mbl	extractionPatterns(tool, wire cutting _ 0.12307688962656467)	0.12307688962656467
mbl	extractionPatterns(tool, workers , armed with _ 0.37500009487940933)	0.37500009487940933
mbl	extractionPatterns(tool, workers wielding _ 0.13333333607230202)	0.13333333607230202
mbl	extractionPatterns(tool, workmen with _ 0.09803918826375141)	0.09803918826375141
mbl	extractionPatterns(trait, act of considerable _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(trait, act of extraordinary _ 0.29629639239245803)	0.29629639239245803
mbl	extractionPatterns(trait, act of great _ 0.25999990847133453)	0.25999990847133453
mbl	extractionPatterns(trait, act of immense _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(trait, act of incredible _ 0.357143006136159)	0.357143006136159
mbl	extractionPatterns(trait, act of selfless _ 0.33928561642511174)	0.33928561642511174
mbl	extractionPatterns(trait, acts of great _ 0.35238110655233906)	0.35238110655233906
mbl	extractionPatterns(trait, acts of selfless _ 0.452380789124354)	0.452380789124354
mbl	extractionPatterns(trait, acts of tremendous _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(trait, amazing acts of _ 0.4583331305436001)	0.4583331305436001
mbl	extractionPatterns(trait, chief act of _ 0.4666666909552191)	0.4666666909552191
mbl	extractionPatterns(trait, countless acts of _ 0.3015872253536089)	0.3015872253536089
mbl	extractionPatterns(trait, example of extraordinary _ 0.5576922455625736)	0.5576922455625736
mbl	extractionPatterns(trait, extraordinary act of _ 0.28915656215383434)	0.28915656215383434
mbl	extractionPatterns(trait, extraordinary acts of _ 0.26874991925145825)	0.26874991925145825
mbl	extractionPatterns(trait, Great is thy _ 0.5999997742596369)	0.5999997742596369
mbl	extractionPatterns(trait, high character for _ 0.32000009062028956)	0.32000009062028956
mbl	extractionPatterns(trait, incredible acts of _ 0.3703702863001145)	0.3703702863001145
mbl	extractionPatterns(trait, infused virtue of _ 0.4666666909552191)	0.4666666909552191
mbl	extractionPatterns(trait, _ is the chief virtue 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(trait, little acts of _ 0.44805199187876527)	0.44805199187876527
mbl	extractionPatterns(trait, many acts of _ 0.2745491448487113)	0.2745491448487113
mbl	extractionPatterns(trait, Many acts of _ 0.2857142767129624)	0.2857142767129624
mbl	extractionPatterns(trait, many deeds of _ 0.32142854984110286)	0.32142854984110286
mbl	extractionPatterns(trait, many individual acts of _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(trait, military award for _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(trait, military honor for _ 0.30769230656666036)	0.30769230656666036
mbl	extractionPatterns(trait, Orange stands for _ 0.4615384099539175)	0.4615384099539175
mbl	extractionPatterns(trait, outstanding act of _ 0.30769230656666036)	0.30769230656666036
mbl	extractionPatterns(trait, outstanding acts of _ 0.43749981326824455)	0.43749981326824455
mbl	extractionPatterns(trait, person of ordinary _ 0.27450988712799185)	0.27450988712799185
mbl	extractionPatterns(trait, person of reasonable _ 0.31249994056428093)	0.31249994056428093
mbl	extractionPatterns(trait, qualities included _ 0.2916665737103659)	0.2916665737103659
mbl	extractionPatterns(trait, random acts of _ 0.47792187560757254)	0.47792187560757254
mbl	extractionPatterns(trait, remarkable act of _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(trait, remarkable acts of _ 0.5000000902799808)	0.5000000902799808
mbl	extractionPatterns(trait, selfless acts of _ 0.28750012038913564)	0.28750012038913564
mbl	extractionPatterns(trait, simple acts of _ 0.3707482567242869)	0.3707482567242869
mbl	extractionPatterns(trait, small act of _ 0.39575972774202145)	0.39575972774202145
mbl	extractionPatterns(trait, small acts of _ 0.47979804653500197)	0.47979804653500197
mbl	extractionPatterns(trait, story of immense _ 0.3333334295560505)	0.3333334295560505
mbl	extractionPatterns(trait, story of incredible _ 0.2592591858756811)	0.2592591858756811
mbl	extractionPatterns(trait, tremendous acts of _ 0.4666666909552191)	0.4666666909552191
mbl	extractionPatterns(trait, unexpected act of _ 0.6052631238772754)	0.6052631238772754
mbl	extractionPatterns(trait, unexpected acts of _ 0.5769232712996127)	0.5769232712996127
mbl	extractionPatterns(trait, unselfish acts of _ 0.43749981326824455)	0.43749981326824455
mbl	extractionPatterns(trait, virtues like _ 0.25624993556069736)	0.25624993556069736
mbl	extractionPatterns(trait, virtues such as _ 0.2610294611657489)	0.2610294611657489
mbl	extractionPatterns(trait, wonderful act of _ 0.36000008911152426)	0.36000008911152426
mbl	extractionPatterns(trait, wonderful acts of _ 0.2727272683991621)	0.2727272683991621
mbl	extractionPatterns(university, AB degree from _ 0.4067795038201418)	0.4067795038201418
mbl	extractionPatterns(university, A.B. degree from _ 0.44736833858929403)	0.44736833858929403
mbl	extractionPatterns(university, aerospace engineering from _ 0.3831774811033891)	0.3831774811033891
mbl	extractionPatterns(university, African-American studies at _ 0.4038462672695946)	0.4038462672695946
mbl	extractionPatterns(university, applied physics from _ 0.37333318525484244)	0.37333318525484244
mbl	extractionPatterns(university, Architecture degree from _ 0.3403141899466772)	0.3403141899466772
mbl	extractionPatterns(university, B.A. cum laude from _ 0.4038462672695946)	0.4038462672695946
mbl	extractionPatterns(university, BA degree from _ 0.38130831705153534)	0.38130831705153534
mbl	extractionPatterns(university, B.A. degree from _ 0.3860466738952824)	0.3860466738952824
mbl	extractionPatterns(university, B.A. from _ 0.3786908901305443)	0.3786908901305443
mbl	extractionPatterns(university, BA from _ 0.3811112316025982)	0.3811112316025982
mbl	extractionPatterns(university, B.A. magna cum laude from _ 0.4067795038201418)	0.4067795038201418
mbl	extractionPatterns(university, B.A. summa cum laude from _ 0.4067795038201418)	0.4067795038201418
mbl	extractionPatterns(university, biomedical engineering from _ 0.449999863298018)	0.449999863298018
mbl	extractionPatterns(university, biophysics from _ 0.42045450418019903)	0.42045450418019903
mbl	extractionPatterns(university, B.M. degree from _ 0.4038462672695946)	0.4038462672695946
mbl	extractionPatterns(university, broadcast journalism from _ 0.44067792462695404)	0.44067792462695404
mbl	extractionPatterns(university, BSEE degree from _ 0.36521721237704413)	0.36521721237704413
mbl	extractionPatterns(university, BSEE from _ 0.39204564682062426)	0.39204564682062426
mbl	extractionPatterns(university, chemical engineering from _ 0.34204806871423543)	0.34204806871423543
mbl	extractionPatterns(university, comparative literature at _ 0.29365079197911415)	0.29365079197911415
mbl	extractionPatterns(university, comparative literature from _ 0.4065042072944442)	0.4065042072944442
mbl	extractionPatterns(university, computer engineering from _ 0.2818791065893279)	0.2818791065893279
mbl	extractionPatterns(university, computer science professor at _ 0.37724554143466615)	0.37724554143466615
mbl	extractionPatterns(university, degree summa cum laude from _ 0.4615384099539175)	0.4615384099539175
mbl	extractionPatterns(university, developmental psychology from _ 0.3999998927496764)	0.3999998927496764
mbl	extractionPatterns(university, educational administration from _ 0.3999998927496764)	0.3999998927496764
mbl	extractionPatterns(university, electrical engineering from _ 0.11234486351483229)	0.11234486351483229
mbl	extractionPatterns(university, finance professor at _ 0.3827160303185939)	0.3827160303185939
mbl	extractionPatterns(university, industrial engineering from _ 0.39473682577270125)	0.39473682577270125
mbl	extractionPatterns(university, industrial management from _ 0.4230770352867159)	0.4230770352867159
mbl	extractionPatterns(university, international affairs from _ 0.4144143335303592)	0.4144143335303592
mbl	extractionPatterns(university, international relations from _ 0.2843751391381588)	0.2843751391381588
mbl	extractionPatterns(university, magna cum laude , from _ 0.39062510097324393)	0.39062510097324393
mbl	extractionPatterns(university, Magna Cum Laude graduate of _ 0.42372865213457256)	0.42372865213457256
mbl	extractionPatterns(university, mechanical engineering from _ 0.32328758365969834)	0.32328758365969834
mbl	extractionPatterns(university, MS degrees from _ 0.38260888483117295)	0.38260888483117295
mbl	extractionPatterns(university, MSEE from _ 0.43127945996822287)	0.43127945996822287
mbl	extractionPatterns(university, one-year fellowship at _ 0.15086211575945283)	0.15086211575945283
mbl	extractionPatterns(university, operations research from _ 0.4144735990174354)	0.4144735990174354
mbl	extractionPatterns(university, PhD degrees from _ 0.34523808448629006)	0.34523808448629006
mbl	extractionPatterns(university, PhD from _ 0.11860946375839859)	0.11860946375839859
mbl	extractionPatterns(university, Phi Beta Kappa graduate of _ 0.3344593270769099)	0.3344593270769099
mbl	extractionPatterns(university, postdoctoral research at _ 0.11594202468607816)	0.11594202468607816
mbl	extractionPatterns(university, public administration from _ 0.3202613172602099)	0.3202613172602099
mbl	extractionPatterns(university, public policy from _ 0.1138789769718487)	0.1138789769718487
mbl	extractionPatterns(university, senior thesis at _ 0.40277789419248705)	0.40277789419248705
mbl	extractionPatterns(university, summa cum laude , from _ 0.36666670658338996)	0.36666670658338996
mbl	extractionPatterns(university, systems engineering from _ 0.37234032156725555)	0.37234032156725555
mbl	extractionPatterns(university, undergraduate degree is from _ 0.397196165771883)	0.397196165771883
mbl	extractionPatterns(vehicle, airfare , rental _ 0.8356160848696621)	0.8356160848696621
mbl	extractionPatterns(vehicle, Buying used _ 0.6811593541405603)	0.6811593541405603
mbl	extractionPatterns(vehicle, CAFE standards for _ 0.4390245258182301)	0.4390245258182301
mbl	extractionPatterns(vehicle, car parts , used _ 0.6923075400867749)	0.6923075400867749
mbl	extractionPatterns(vehicle, cars , hybrid _ 0.5844155447240453)	0.5844155447240453
mbl	extractionPatterns(vehicle, cars , new _ 0.5140493533221189)	0.5140493533221189
mbl	extractionPatterns(vehicle, cars salvaged _ 0.7500000543388377)	0.7500000543388377
mbl	extractionPatterns(vehicle, cars , used _ 0.8215824346819458)	0.8215824346819458
mbl	extractionPatterns(vehicle, _ chase sequence 0.6744187973373662)	0.6744187973373662
mbl	extractionPatterns(vehicle, cheap used _ 0.2691525391663944)	0.2691525391663944
mbl	extractionPatterns(vehicle, Cheap used _ 0.6681036184732752)	0.6681036184732752
mbl	extractionPatterns(vehicle, classic used _ 0.45794371290857916)	0.45794371290857916
mbl	extractionPatterns(vehicle, dealer selling used _ 0.416666557230806)	0.416666557230806
mbl	extractionPatterns(vehicle, dealers of used _ 0.5909091475753722)	0.5909091475753722
mbl	extractionPatterns(vehicle, dealer with new _ 0.7526883610459676)	0.7526883610459676
mbl	extractionPatterns(vehicle, _ detached garage 0.5845412075744334)	0.5845412075744334
mbl	extractionPatterns(vehicle, drivers of large _ 0.39024403686422865)	0.39024403686422865
mbl	extractionPatterns(vehicle, fleet of electric _ 0.4117647861768502)	0.4117647861768502
mbl	extractionPatterns(vehicle, fleet of heavy _ 0.416666557230806)	0.416666557230806
mbl	extractionPatterns(vehicle, fuel economy standards for _ 0.43689342165703704)	0.43689342165703704
mbl	extractionPatterns(vehicle, _ hire company 0.5817491138789213)	0.5817491138789213
mbl	extractionPatterns(vehicle, hotel , rental _ 0.8492064107649561)	0.8492064107649561
mbl	extractionPatterns(vehicle, hydrogen powered _ 0.1515150983382487)	0.1515150983382487
mbl	extractionPatterns(vehicle, large inventory of used _ 0.7241382150870928)	0.7241382150870928
mbl	extractionPatterns(vehicle, listings of used _ 0.8219177087065461)	0.8219177087065461
mbl	extractionPatterns(vehicle, manufacturer of agricultural _ 0.44736833858929403)	0.44736833858929403
mbl	extractionPatterns(vehicle, manufacturers of heavy _ 0.48275837948961253)	0.48275837948961253
mbl	extractionPatterns(vehicle, mileage standards for _ 0.38000000997944827)	0.38000000997944827
mbl	extractionPatterns(vehicle, motorcycles , used _ 0.5925926777864048)	0.5925926777864048
mbl	extractionPatterns(vehicle, mousetrap powered _ 0.5968992143652334)	0.5968992143652334
mbl	extractionPatterns(vehicle, muscle car , classic _ 0.9090910725494009)	0.9090910725494009
mbl	extractionPatterns(vehicle, new car , used _ 0.9423080885206455)	0.9423080885206455
mbl	extractionPatterns(vehicle, new trucks , new _ 0.519480502721947)	0.519480502721947
mbl	extractionPatterns(vehicle, _ parked along 0.2644320395547111)	0.2644320395547111
mbl	extractionPatterns(vehicle, parking lot full of _ 0.3714284614960848)	0.3714284614960848
mbl	extractionPatterns(vehicle, people riding _ 0.1417769827488714)	0.1417769827488714
mbl	extractionPatterns(vehicle, quality enclosed _ 0.48275837948961253)	0.48275837948961253
mbl	extractionPatterns(vehicle, quality used _ 0.2819070140022744)	0.2819070140022744
mbl	extractionPatterns(vehicle, sales of hybrid _ 0.5555553693900973)	0.5555553693900973
mbl	extractionPatterns(vehicle, Sales of large _ 0.42105281578387377)	0.42105281578387377
mbl	extractionPatterns(vehicle, Salvage used _ 0.3478259736519537)	0.3478259736519537
mbl	extractionPatterns(vehicle, Search used _ 0.7884265724476885)	0.7884265724476885
mbl	extractionPatterns(vehicle, sedans , stretch _ 0.8888889205834525)	0.8888889205834525
mbl	extractionPatterns(vehicle, selection of used _ 0.5795107881896678)	0.5795107881896678
mbl	extractionPatterns(vehicle, trailers , dump _ 0.8571425827091225)	0.8571425827091225
mbl	extractionPatterns(vehicle, trailers , used _ 0.4666666909552191)	0.4666666909552191
mbl	extractionPatterns(vehicle, trucks , large _ 0.39130420640595476)	0.39130420640595476
mbl	extractionPatterns(vehicle, trucks , used _ 0.6026938033676701)	0.6026938033676701
mbl	extractionPatterns(vehicle, vehicles , agricultural _ 0.3999998927496764)	0.3999998927496764
mbl	extractionPatterns(vehicle, vehicles towing _ 0.42105281578387377)	0.42105281578387377
uncoupled_cpl	extractionPatterns(academicField, advancements in _ 0.21581904004482122)	0.21581904004482122
uncoupled_cpl	extractionPatterns(academicField, Arts degree in _ 0.15061550711894223)	0.15061550711894223
uncoupled_cpl	extractionPatterns(academicField, assistant professor of _ 0.26396229711316244)	0.26396229711316244
uncoupled_cpl	extractionPatterns(academicField, associate professor of _ 0.25728753661124665)	0.25728753661124665
uncoupled_cpl	extractionPatterns(academicField, Bachelor of _ 0.3765177831708958)	0.3765177831708958
uncoupled_cpl	extractionPatterns(academicField, Bachelors degree in _ 0.15508777996624667)	0.15508777996624667
uncoupled_cpl	extractionPatterns(academicField, background in _ 0.20156124467105577)	0.20156124467105577
uncoupled_cpl	extractionPatterns(academicField, backgrounds in _ 0.19797569665261444)	0.19797569665261444
uncoupled_cpl	extractionPatterns(academicField, B.A. degree in _ 0.19235224084897293)	0.19235224084897293
uncoupled_cpl	extractionPatterns(academicField, BA degree in _ 0.21203943658131977)	0.21203943658131977
uncoupled_cpl	extractionPatterns(academicField, B.A. in _ 0.23975229327212466)	0.23975229327212466
uncoupled_cpl	extractionPatterns(academicField, BS degree in _ 0.14979763436195212)	0.14979763436195212
uncoupled_cpl	extractionPatterns(academicField, B.S. degree in _ 0.15988107841646262)	0.15988107841646262
uncoupled_cpl	extractionPatterns(academicField, college of _ 0.2014743904930224)	0.2014743904930224
uncoupled_cpl	extractionPatterns(academicField, _ contained in 0.23650711191029108)	0.23650711191029108
uncoupled_cpl	extractionPatterns(academicField, coursework in _ 0.19933210020127085)	0.19933210020127085
uncoupled_cpl	extractionPatterns(academicField, dean of _ 0.21143429303360928)	0.21143429303360928
uncoupled_cpl	extractionPatterns(academicField, degree programs in _ 0.228979911954109)	0.228979911954109
uncoupled_cpl	extractionPatterns(academicField, degrees in _ 0.24715663340450642)	0.24715663340450642
uncoupled_cpl	extractionPatterns(academicField, department of _ 0.20988489869070973)	0.20988489869070973
uncoupled_cpl	extractionPatterns(academicField, diploma in _ 0.21010392284128326)	0.21010392284128326
uncoupled_cpl	extractionPatterns(academicField, disciplines of _ 0.23873168848684373)	0.23873168848684373
uncoupled_cpl	extractionPatterns(academicField, doctorate in _ 0.23478173116416926)	0.23478173116416926
uncoupled_cpl	extractionPatterns(academicField, Faculty of _ 0.20909993152970374)	0.20909993152970374
uncoupled_cpl	extractionPatterns(academicField, graduate program in _ 0.236287026254872)	0.236287026254872
uncoupled_cpl	extractionPatterns(academicField, graduate programs in _ 0.21360751284912619)	0.21360751284912619
uncoupled_cpl	extractionPatterns(academicField, graduate student in _ 0.2138669898403907)	0.2138669898403907
uncoupled_cpl	extractionPatterns(academicField, graduate studies in _ 0.23150217737326848)	0.23150217737326848
uncoupled_cpl	extractionPatterns(academicField, graduate study in _ 0.23337352440260345)	0.23337352440260345
uncoupled_cpl	extractionPatterns(academicField, graduate work in _ 0.23022158978859894)	0.23022158978859894
uncoupled_cpl	extractionPatterns(academicField, Honours degree in _ 0.16518850543620947)	0.16518850543620947
uncoupled_cpl	extractionPatterns(academicField, institute of _ 0.19184203115568327)	0.19184203115568327
uncoupled_cpl	extractionPatterns(academicField, institutions of _ 0.301134280227432)	0.301134280227432
uncoupled_cpl	extractionPatterns(academicField, lecturer in _ 0.22755256780689725)	0.22755256780689725
uncoupled_cpl	extractionPatterns(academicField, majoring in _ 0.3175277699705537)	0.3175277699705537
uncoupled_cpl	extractionPatterns(academicField, majors in _ 0.22008311687554033)	0.22008311687554033
uncoupled_cpl	extractionPatterns(academicField, Master of _ 0.24687626976205698)	0.24687626976205698
uncoupled_cpl	extractionPatterns(academicField, masters degree in _ 0.2273276295676303)	0.2273276295676303
uncoupled_cpl	extractionPatterns(academicField, Masters degree in _ 0.2618658314730681)	0.2618658314730681
uncoupled_cpl	extractionPatterns(academicField, masters in _ 0.2000391863252389)	0.2000391863252389
uncoupled_cpl	extractionPatterns(academicField, minors in _ 0.2436518297434777)	0.2436518297434777
uncoupled_cpl	extractionPatterns(academicField, profession of _ 0.21012472415929276)	0.21012472415929276
uncoupled_cpl	extractionPatterns(academicField, professors of _ 0.19104352448704112)	0.19104352448704112
uncoupled_cpl	extractionPatterns(academicField, proficiency in _ 0.19407511580272258)	0.19407511580272258
uncoupled_cpl	extractionPatterns(academicField, rule of _ 0.28406874791270936)	0.28406874791270936
uncoupled_cpl	extractionPatterns(academicField, School of _ 0.2808583020497415)	0.2808583020497415
uncoupled_cpl	extractionPatterns(academicField, Science degree in _ 0.24498703211037384)	0.24498703211037384
uncoupled_cpl	extractionPatterns(academicField, subjects such as _ 0.19959219880736814)	0.19959219880736814
uncoupled_cpl	extractionPatterns(academicField, undergraduate degree in _ 0.134657063887191)	0.134657063887191
uncoupled_cpl	extractionPatterns(academicField, wealth of _ 0.281621586790381)	0.281621586790381
uncoupled_cpl	extractionPatterns(acquired, arg1 acquired arg2 0.012503996072031093)	0.012503996072031093
uncoupled_cpl	extractionPatterns(acquired, arg1 acquisition of arg2 0.014084505310441175)	0.014084505310441175
uncoupled_cpl	extractionPatterns(acquired, arg1 agreed to buy arg2 0.019379838614100205)	0.019379838614100205
uncoupled_cpl	extractionPatterns(acquired, arg1 announced it was buying arg2 0.01593624825517103)	0.01593624825517103
uncoupled_cpl	extractionPatterns(acquired, arg1 announced their acquisition of arg2 0.03317535493338992)	0.03317535493338992
uncoupled_cpl	extractionPatterns(acquired, arg1 bought arg2 0.0031821315754499784)	0.0031821315754499784
uncoupled_cpl	extractionPatterns(acquired, arg1 bought out arg2 0.01624129834649432)	0.01624129834649432
uncoupled_cpl	extractionPatterns(acquired, arg1 buyout of arg2 0.03791467646621095)	0.03791467646621095
uncoupled_cpl	extractionPatterns(acquired, arg1 Congress from arg2 0.019354835385506163)	0.019354835385506163
uncoupled_cpl	extractionPatterns(acquired, arg1 decided to buy arg2 0.02439024552937341)	0.02439024552937341
uncoupled_cpl	extractionPatterns(acquired, arg1 did buy arg2 0.014598536427273165)	0.014598536427273165
uncoupled_cpl	extractionPatterns(acquired, arg1 excluding Hawaii and arg2 0.01290322498528133)	0.01290322498528133
uncoupled_cpl	extractionPatterns(acquired, arg1 has bought arg2 0.0036927604912785276)	0.0036927604912785276
uncoupled_cpl	extractionPatterns(acquired, arg1 in talks to buy arg2 0.01824817872178812)	0.01824817872178812
uncoupled_cpl	extractionPatterns(acquired, arg1 intends to integrate arg2 0.02439024552937341)	0.02439024552937341
uncoupled_cpl	extractionPatterns(acquired, arg1 is acquiring arg2 0.01277955053572239)	0.01277955053572239
uncoupled_cpl	extractionPatterns(acquired, arg1 is buying arg2 0.0028155799986970677)	0.0028155799986970677
uncoupled_cpl	extractionPatterns(acquired, arg1 is going to acquire arg2 0.01593624825517103)	0.01593624825517103
uncoupled_cpl	extractionPatterns(acquired, arg1 is going to buy arg2 0.01992031925692598)	0.01992031925692598
uncoupled_cpl	extractionPatterns(acquired, arg1 is the parent company of arg2 0.015503879438786849)	0.015503879438786849
uncoupled_cpl	extractionPatterns(acquired, arg1 just bought arg2 0.023913048659853754)	0.023913048659853754
uncoupled_cpl	extractionPatterns(acquired, arg1 merger with arg2 0.023696687702416834)	0.023696687702416834
uncoupled_cpl	extractionPatterns(acquired, arg1 might buy arg2 0.019379838614100205)	0.019379838614100205
uncoupled_cpl	extractionPatterns(acquired, arg1 now owns arg2 0.004447740787159865)	0.004447740787159865
uncoupled_cpl	extractionPatterns(acquired, arg1 owns arg2 0.0027423858206242326)	0.0027423858206242326
uncoupled_cpl	extractionPatterns(acquired, arg1 purchase of arg2 0.005899704583011845)	0.005899704583011845
uncoupled_cpl	extractionPatterns(acquired, arg1 recently acquired arg2 0.013698636180116276)	0.013698636180116276
uncoupled_cpl	extractionPatterns(acquired, arg1 recently bought arg2 0.016304355471863895)	0.016304355471863895
uncoupled_cpl	extractionPatterns(acquired, arg1 recently purchased arg2 0.01257861662465769)	0.01257861662465769
uncoupled_cpl	extractionPatterns(acquired, arg1 snapped up arg2 0.01290322498528133)	0.01290322498528133
uncoupled_cpl	extractionPatterns(acquired, arg1 snaps up arg2 0.01593624825517103)	0.01593624825517103
uncoupled_cpl	extractionPatterns(acquired, arg1 subsidiary arg2 0.00213037981128454)	0.00213037981128454
uncoupled_cpl	extractionPatterns(acquired, arg1 territories of arg2 0.02052786597536012)	0.02052786597536012
uncoupled_cpl	extractionPatterns(acquired, arg1 territory of arg2 0.013259672405462573)	0.013259672405462573
uncoupled_cpl	extractionPatterns(acquired, arg1 to Acquire arg2 0.015306128120854223)	0.015306128120854223
uncoupled_cpl	extractionPatterns(acquired, arg1 was going to buy arg2 0.01290322498528133)	0.01290322498528133
uncoupled_cpl	extractionPatterns(acquired, arg2 acquisition by arg1 0.002250985857140956)	0.002250985857140956
uncoupled_cpl	extractionPatterns(acquired, arg2 and the continental arg1 0.020304575992247016)	0.020304575992247016
uncoupled_cpl	extractionPatterns(acquired, arg2 being acquired by arg1 0.014662750217734773)	0.014662750217734773
uncoupled_cpl	extractionPatterns(acquired, arg2 has been acquired by arg1 0.01910827101936908)	0.01910827101936908
uncoupled_cpl	extractionPatterns(acquired, arg2 has been bought by arg1 0.023696687702416834)	0.023696687702416834
uncoupled_cpl	extractionPatterns(acquired, arg2 is now owned by arg1 0.01615168339114039)	0.01615168339114039
uncoupled_cpl	extractionPatterns(acquired, arg2 parent company arg1 0.020325195599559615)	0.020325195599559615
uncoupled_cpl	extractionPatterns(acquired, arg2 territory to arg1 0.02346040904642071)	0.02346040904642071
uncoupled_cpl	extractionPatterns(acquired, arg2 was acquired by arg1 0.012709176339643087)	0.012709176339643087
uncoupled_cpl	extractionPatterns(acquired, arg2 was bought by arg1 0.002166377199293609)	0.002166377199293609
uncoupled_cpl	extractionPatterns(acquired, arg2 was bought out by arg1 0.027777776068225332)	0.027777776068225332
uncoupled_cpl	extractionPatterns(acquired, arg2 was ceded to arg1 0.015254236671308341)	0.015254236671308341
uncoupled_cpl	extractionPatterns(acquired, arg2 was recently acquired by arg1 0.019379838614100205)	0.019379838614100205
uncoupled_cpl	extractionPatterns(acquired, arg2 which is owned by arg1 0.02625819889119224)	0.02625819889119224
uncoupled_cpl	extractionPatterns(actor, agency of _ 0.06037283662195293)	0.06037283662195293
uncoupled_cpl	extractionPatterns(actor, ally of _ 0.056816017202830915)	0.056816017202830915
uncoupled_cpl	extractionPatterns(actor, calls from _ 0.11716114313834514)	0.11716114313834514
uncoupled_cpl	extractionPatterns(actor, celebrities like _ 0.06734760077480532)	0.06734760077480532
uncoupled_cpl	extractionPatterns(actor, charge of _ 0.06659505189944454)	0.06659505189944454
uncoupled_cpl	extractionPatterns(actor, confrontation with _ 0.07665380758093714)	0.07665380758093714
uncoupled_cpl	extractionPatterns(actor, crimes against _ 0.1332029998144421)	0.1332029998144421
uncoupled_cpl	extractionPatterns(actor, delegation of _ 0.1325692670452159)	0.1325692670452159
uncoupled_cpl	extractionPatterns(actor, difference between _ 0.08148673766612233)	0.08148673766612233
uncoupled_cpl	extractionPatterns(actor, discrimination against _ 0.25294505190226524)	0.25294505190226524
uncoupled_cpl	extractionPatterns(actor, _ dressed as 0.09102118475985983)	0.09102118475985983
uncoupled_cpl	extractionPatterns(actor, film starring _ 0.1537974195514968)	0.1537974195514968
uncoupled_cpl	extractionPatterns(actor, film stars _ 0.11872457075611276)	0.11872457075611276
uncoupled_cpl	extractionPatterns(actor, _ has focused on 0.17768801344137436)	0.17768801344137436
uncoupled_cpl	extractionPatterns(actor, hordes of _ 0.13136993556312543)	0.13136993556312543
uncoupled_cpl	extractionPatterns(actor, influx of _ 0.11524776383808905)	0.11524776383808905
uncoupled_cpl	extractionPatterns(actor, large numbers of _ 0.1931602738965921)	0.1931602738965921
uncoupled_cpl	extractionPatterns(actor, lines of _ 0.07687996266093834)	0.07687996266093834
uncoupled_cpl	extractionPatterns(actor, movie starring _ 0.05689003983550591)	0.05689003983550591
uncoupled_cpl	extractionPatterns(actor, movie , starring _ 0.06147541132321671)	0.06147541132321671
uncoupled_cpl	extractionPatterns(actor, movie stars _ 0.06504649220981802)	0.06504649220981802
uncoupled_cpl	extractionPatterns(actor, negotiations with _ 0.08853024800467552)	0.08853024800467552
uncoupled_cpl	extractionPatterns(actor, oppression of _ 0.24417746560579442)	0.24417746560579442
uncoupled_cpl	extractionPatterns(actor, overthrow of _ 0.09812795388951732)	0.09812795388951732
uncoupled_cpl	extractionPatterns(actor, participation of _ 0.08749164289074315)	0.08749164289074315
uncoupled_cpl	extractionPatterns(actor, persecution of _ 0.1632130298291084)	0.1632130298291084
uncoupled_cpl	extractionPatterns(actor, point in _ 0.15555280857992254)	0.15555280857992254
uncoupled_cpl	extractionPatterns(actor, presence of _ 0.056034483554577824)	0.056034483554577824
uncoupled_cpl	extractionPatterns(actor, race of _ 0.16058931683693728)	0.16058931683693728
uncoupled_cpl	extractionPatterns(actor, reach of _ 0.1184687578503946)	0.1184687578503946
uncoupled_cpl	extractionPatterns(actor, reign of _ 0.11736553308492814)	0.11736553308492814
uncoupled_cpl	extractionPatterns(actor, relationship of _ 0.09197605569430835)	0.09197605569430835
uncoupled_cpl	extractionPatterns(actor, relations with _ 0.06238265543603632)	0.06238265543603632
uncoupled_cpl	extractionPatterns(actor, roles for _ 0.09624685323606166)	0.09624685323606166
uncoupled_cpl	extractionPatterns(actor, rule of _ 0.2858040050824671)	0.2858040050824671
uncoupled_cpl	extractionPatterns(actor, sex with _ 0.09341736782658408)	0.09341736782658408
uncoupled_cpl	extractionPatterns(actor, _ stars as 0.08592907777471531)	0.08592907777471531
uncoupled_cpl	extractionPatterns(actor, stars like _ 0.07873173221964888)	0.07873173221964888
uncoupled_cpl	extractionPatterns(actor, stars such as _ 0.06447491793722185)	0.06447491793722185
uncoupled_cpl	extractionPatterns(actor, tensions between _ 0.08858417934613702)	0.08858417934613702
uncoupled_cpl	extractionPatterns(actor, threat from _ 0.057335803927872436)	0.057335803927872436
uncoupled_cpl	extractionPatterns(actor, thriller starring _ 0.04494382061178648)	0.04494382061178648
uncoupled_cpl	extractionPatterns(actor, ties with _ 0.05633484605727439)	0.05633484605727439
uncoupled_cpl	extractionPatterns(actor, treaty with _ 0.08330297634628986)	0.08330297634628986
uncoupled_cpl	extractionPatterns(actor, version of _ 0.06896549306390277)	0.06896549306390277
uncoupled_cpl	extractionPatterns(actor, violence against _ 0.560936259132142)	0.560936259132142
uncoupled_cpl	extractionPatterns(actor, war against _ 0.11530321134655189)	0.11530321134655189
uncoupled_cpl	extractionPatterns(actor, war on _ 0.26562094640841083)	0.26562094640841083
uncoupled_cpl	extractionPatterns(actor, war with _ 0.07719550878529491)	0.07719550878529491
uncoupled_cpl	extractionPatterns(actor, work from _ 0.13549480213845178)	0.13549480213845178
uncoupled_cpl	extractionPatterns(animal, band of _ 0.16483983062888605)	0.16483983062888605
uncoupled_cpl	extractionPatterns(animal, billions of _ 0.16562766364269194)	0.16562766364269194
uncoupled_cpl	extractionPatterns(animal, breed of _ 0.3387106757071976)	0.3387106757071976
uncoupled_cpl	extractionPatterns(animal, breeds of _ 0.42305292058298016)	0.42305292058298016
uncoupled_cpl	extractionPatterns(animal, _ caught in 0.16288839596696802)	0.16288839596696802
uncoupled_cpl	extractionPatterns(animal, certain number of _ 0.16033722908696096)	0.16033722908696096
uncoupled_cpl	extractionPatterns(animal, circle of _ 0.21353447157050234)	0.21353447157050234
uncoupled_cpl	extractionPatterns(animal, clusters of _ 0.17287197281189814)	0.17287197281189814
uncoupled_cpl	extractionPatterns(animal, couple of _ 0.20898307733176985)	0.20898307733176985
uncoupled_cpl	extractionPatterns(animal, crowd of _ 0.18056887410520273)	0.18056887410520273
uncoupled_cpl	extractionPatterns(animal, crowds of _ 0.16068666345598692)	0.16068666345598692
uncoupled_cpl	extractionPatterns(animal, deaths of _ 0.1577053279865754)	0.1577053279865754
uncoupled_cpl	extractionPatterns(animal, destination for _ 0.16386882807543215)	0.16386882807543215
uncoupled_cpl	extractionPatterns(animal, different species of _ 0.20332613759218193)	0.20332613759218193
uncoupled_cpl	extractionPatterns(animal, disease in _ 0.1488742930399595)	0.1488742930399595
uncoupled_cpl	extractionPatterns(animal, flock of _ 0.10416876027872564)	0.10416876027872564
uncoupled_cpl	extractionPatterns(animal, flocks of _ 0.2355149230540926)	0.2355149230540926
uncoupled_cpl	extractionPatterns(animal, gang of _ 0.16907785325281063)	0.16907785325281063
uncoupled_cpl	extractionPatterns(animal, habitat for _ 0.15925796023532357)	0.15925796023532357
uncoupled_cpl	extractionPatterns(animal, haven for _ 0.19181881967423642)	0.19181881967423642
uncoupled_cpl	extractionPatterns(animal, herd of _ 0.4340576151026421)	0.4340576151026421
uncoupled_cpl	extractionPatterns(animal, herds of _ 0.5136619061956366)	0.5136619061956366
uncoupled_cpl	extractionPatterns(animal, high number of _ 0.15965468736428762)	0.15965468736428762
uncoupled_cpl	extractionPatterns(animal, hordes of _ 0.1718326913984028)	0.1718326913984028
uncoupled_cpl	extractionPatterns(animal, huge number of _ 0.15955541302626683)	0.15955541302626683
uncoupled_cpl	extractionPatterns(animal, hundreds of _ 0.21653436810590082)	0.21653436810590082
uncoupled_cpl	extractionPatterns(animal, influx of _ 0.23186429820020832)	0.23186429820020832
uncoupled_cpl	extractionPatterns(animal, killing of _ 0.17002037434924508)	0.17002037434924508
uncoupled_cpl	extractionPatterns(animal, large group of _ 0.15830907276465261)	0.15830907276465261
uncoupled_cpl	extractionPatterns(animal, large number of _ 0.1652426961527842)	0.1652426961527842
uncoupled_cpl	extractionPatterns(animal, large numbers of _ 0.18370170598592772)	0.18370170598592772
uncoupled_cpl	extractionPatterns(animal, many species of _ 0.18791829719534253)	0.18791829719534253
uncoupled_cpl	extractionPatterns(animal, many thousands of _ 0.17610673832773902)	0.17610673832773902
uncoupled_cpl	extractionPatterns(animal, maximum number of _ 0.1726149306031847)	0.1726149306031847
uncoupled_cpl	extractionPatterns(animal, millions of _ 0.18465704225755708)	0.18465704225755708
uncoupled_cpl	extractionPatterns(animal, minimum number of _ 0.16602099877189447)	0.16602099877189447
uncoupled_cpl	extractionPatterns(animal, pack of _ 0.16454503125621278)	0.16454503125621278
uncoupled_cpl	extractionPatterns(animal, populations of _ 0.15515494751569706)	0.15515494751569706
uncoupled_cpl	extractionPatterns(animal, _ residing in 0.17243705631968206)	0.17243705631968206
uncoupled_cpl	extractionPatterns(animal, same number of _ 0.16923415338875858)	0.16923415338875858
uncoupled_cpl	extractionPatterns(animal, several species of _ 0.16257302394977602)	0.16257302394977602
uncoupled_cpl	extractionPatterns(animal, significant number of _ 0.16382147682670337)	0.16382147682670337
uncoupled_cpl	extractionPatterns(animal, slaughter of _ 0.159248405044368)	0.159248405044368
uncoupled_cpl	extractionPatterns(animal, small number of _ 0.16593933653105725)	0.16593933653105725
uncoupled_cpl	extractionPatterns(animal, span of _ 0.17841446148249063)	0.17841446148249063
uncoupled_cpl	extractionPatterns(animal, strains of _ 0.16246316172320224)	0.16246316172320224
uncoupled_cpl	extractionPatterns(animal, suffering of _ 0.16515761807375126)	0.16515761807375126
uncoupled_cpl	extractionPatterns(animal, swarm of _ 0.12394256576404429)	0.12394256576404429
uncoupled_cpl	extractionPatterns(animal, total number of _ 0.18478431480002852)	0.18478431480002852
uncoupled_cpl	extractionPatterns(animal, variety of _ 0.6038985854675318)	0.6038985854675318
uncoupled_cpl	extractionPatterns(athlete, abundance of _ 0.11754288890983512)	0.11754288890983512
uncoupled_cpl	extractionPatterns(athlete, alot of _ 0.1647615503023867)	0.1647615503023867
uncoupled_cpl	extractionPatterns(athlete, amounts of _ 0.19593506023179003)	0.19593506023179003
uncoupled_cpl	extractionPatterns(athlete, baseball great _ 0.02941175072400807)	0.02941175072400807
uncoupled_cpl	extractionPatterns(athlete, basketball great _ 0.023219821269669608)	0.023219821269669608
uncoupled_cpl	extractionPatterns(athlete, bid for _ 0.05118708627198995)	0.05118708627198995
uncoupled_cpl	extractionPatterns(athlete, bits of _ 0.1635252281395872)	0.1635252281395872
uncoupled_cpl	extractionPatterns(athlete, charge of _ 0.035573119377556306)	0.035573119377556306
uncoupled_cpl	extractionPatterns(athlete, chunk of _ 0.12600609502327617)	0.12600609502327617
uncoupled_cpl	extractionPatterns(athlete, deal of _ 0.16924159985532877)	0.16924159985532877
uncoupled_cpl	extractionPatterns(athlete, difference between _ 0.027863770009220513)	0.027863770009220513
uncoupled_cpl	extractionPatterns(athlete, extension for _ 0.11549650606469111)	0.11549650606469111
uncoupled_cpl	extractionPatterns(athlete, favorite player is _ 0.018726587003112014)	0.018726587003112014
uncoupled_cpl	extractionPatterns(athlete, gift of _ 0.04809817713450908)	0.04809817713450908
uncoupled_cpl	extractionPatterns(athlete, _ has a coach 0.02059924199959008)	0.02059924199959008
uncoupled_cpl	extractionPatterns(athlete, _ has appeared in 0.3034519501884645)	0.3034519501884645
uncoupled_cpl	extractionPatterns(athlete, home from _ 0.22844586759912475)	0.22844586759912475
uncoupled_cpl	extractionPatterns(athlete, _ is presented in 0.13809395391644166)	0.13809395391644166
uncoupled_cpl	extractionPatterns(athlete, _ is provided by 0.13750431232550372)	0.13750431232550372
uncoupled_cpl	extractionPatterns(athlete, journey of _ 0.046601479007305144)	0.046601479007305144
uncoupled_cpl	extractionPatterns(athlete, lines of _ 0.0659191030577725)	0.0659191030577725
uncoupled_cpl	extractionPatterns(athlete, lots of _ 0.11887675438405443)	0.11887675438405443
uncoupled_cpl	extractionPatterns(athlete, maiden name was _ 0.025691707616082426)	0.025691707616082426
uncoupled_cpl	extractionPatterns(athlete, masses of _ 0.19268202261498804)	0.19268202261498804
uncoupled_cpl	extractionPatterns(athlete, mixture of _ 0.06323470492405868)	0.06323470492405868
uncoupled_cpl	extractionPatterns(athlete, numbers of _ 0.12391641664149755)	0.12391641664149755
uncoupled_cpl	extractionPatterns(athlete, parents of _ 0.13808332109135912)	0.13808332109135912
uncoupled_cpl	extractionPatterns(athlete, passage of _ 0.21664547873417855)	0.21664547873417855
uncoupled_cpl	extractionPatterns(athlete, passing of _ 0.1330516340713847)	0.1330516340713847
uncoupled_cpl	extractionPatterns(athlete, philosophy of _ 0.10984499975845022)	0.10984499975845022
uncoupled_cpl	extractionPatterns(athlete, player like _ 0.040523671262163975)	0.040523671262163975
uncoupled_cpl	extractionPatterns(athlete, players like _ 0.02879236589697503)	0.02879236589697503
uncoupled_cpl	extractionPatterns(athlete, players such as _ 0.023019905058542758)	0.023019905058542758
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 added DD points for arg2 0.006456241123284252)	0.006456241123284252
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 among registered arg2 0.007866272207423678)	0.007866272207423678
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 and the Boston arg2 0.003276898117246725)	0.003276898117246725
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 and the Cleveland arg2 0.020016687066147554)	0.020016687066147554
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 and the Dallas arg2 0.00773694014227201)	0.00773694014227201
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 and the Indianapolis arg2 0.016329712137293367)	0.016329712137293367
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 and the Los Angeles arg2 0.008479710236382958)	0.008479710236382958
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 and the New Orleans arg2 0.008340284087018101)	0.008340284087018101
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 and the New York arg2 0.006424670073161727)	0.006424670073161727
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 and the Oakland arg2 0.004027618583078399)	0.004027618583078399
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 and the San Francisco arg2 0.003452243394467073)	0.003452243394467073
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 from the Boston arg2 0.004602990859127867)	0.004602990859127867
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 had DD points for arg2 0.0035041615588259833)	0.0035041615588259833
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 leads among arg2 0.00393313681387874)	0.00393313681387874
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 led among arg2 0.0049164232232771716)	0.0049164232232771716
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 led arg2 3.264828948674824E-4)	3.264828948674824E-4
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 of the Cleveland arg2 0.0035279017142441096)	0.0035279017142441096
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 of the New Jersey arg2 0.0034364270349537054)	0.0034364270349537054
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 of the New Orleans arg2 0.0021901001622771136)	0.0021901001622771136
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 plays for arg2 0.001335113462639813)	0.001335113462639813
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 scored DD points and arg2 0.0023014958451218607)	0.0023014958451218607
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 scored DD points for arg2 0.004835590631693832)	0.004835590631693832
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 scored DD points to lead arg2 0.004835590631693832)	0.004835590631693832
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 scored DD to lead arg2 0.0031104184873336793)	0.0031104184873336793
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 to the New York arg2 2.669513836102619E-4)	2.669513836102619E-4
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 was drafted by arg2 0.0031104184873336793)	0.0031104184873336793
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg1 won among arg2 0.003586799422117721)	0.003586799422117721
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 and quarterback arg1 0.0020026699774547316)	0.0020026699774547316
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 are led by arg1 2.669513836102619E-4)	2.669513836102619E-4
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 are without arg1 2.669513836102619E-4)	2.669513836102619E-4
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 basketball star arg1 0.004170142796469739)	0.004170142796469739
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 first baseman arg1 0.002670226443143641)	0.002670226443143641
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 forward arg1 4.8412762402723683E-4)	4.8412762402723683E-4
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 freshman arg1 0.0046009199792241854)	0.0046009199792241854
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 freshman forward arg1 0.003586799422117721)	0.003586799422117721
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 guard arg1 7.306383163011325E-4)	7.306383163011325E-4
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 like Hillary arg1 0.014749265412188337)	0.014749265412188337
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 nominate arg1 0.006456241123284252)	0.006456241123284252
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 not named arg1 0.004835590631693832)	0.004835590631693832
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 outfielder arg1 0.002670226443143641)	0.002670226443143641
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 played without arg1 0.002628121359531553)	0.002628121359531553
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 playmaker arg1 0.004170142796469739)	0.004170142796469739
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 point guard arg1 0.0035041615588259833)	0.0035041615588259833
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 quarterback arg1 0.014331949544847924)	0.014331949544847924
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 slugger arg1 7.225434509953935E-4)	7.225434509953935E-4
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 star quarterback arg1 0.004170142796469739)	0.004170142796469739
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 superstar arg1 0.001445086641065998)	0.001445086641065998
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 teammate arg1 0.002628121359531553)	0.002628121359531553
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 traded for arg1 0.001335113462639813)	0.001335113462639813
uncoupled_cpl	extractionPatterns(athletePlaysForTeam, arg2 will vote for arg1 0.006882990883926194)	0.006882990883926194
uncoupled_cpl	extractionPatterns(athletePlaysInLeague, arg1 is the best player in arg2 0.05172412354543181)	0.05172412354543181
uncoupled_cpl	extractionPatterns(athletePlaysInLeague, arg2 behind arg1 1.1574247163240397E-5)	1.1574247163240397E-5
uncoupled_cpl	extractionPatterns(athletePlaysInLeague, arg2 insider arg1 6.865771207686777E-4)	6.865771207686777E-4
uncoupled_cpl	extractionPatterns(athletePlaysInLeague, arg2 player arg1 9.310552785382753E-5)	9.310552785382753E-5
uncoupled_cpl	extractionPatterns(athletePlaysInLeague, arg2 stars arg1 5.356187164122833E-4)	5.356187164122833E-4
uncoupled_cpl	extractionPatterns(athletePlaysInLeague, arg2 studs arg1 0.006006007864387664)	0.006006007864387664
uncoupled_cpl	extractionPatterns(athletePlaysInLeague, arg2 superstar arg1 0.001317522763367134)	0.001317522763367134
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg1 announced his retirement from arg2 0.005988022828842948)	0.005988022828842948
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg1 autographed arg2 0.0038080729697970175)	0.0038080729697970175
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg1 has done for arg2 0.006259781491440677)	0.006259781491440677
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg1 learned to play arg2 0.004297993470319254)	0.004297993470319254
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg1 retires from arg2 0.007163325145618127)	0.007163325145618127
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg1 will not play arg2 0.004494382479129439)	0.004494382479129439
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 ace arg1 0.0016055048878473599)	0.0016055048878473599
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 autographed by arg1 0.007604561609261069)	0.007604561609261069
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 champ arg1 0.001325088538853766)	0.001325088538853766
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 clips require arg1 0.007604561609261069)	0.007604561609261069
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 downloads for arg1 0.008443469302800356)	0.008443469302800356
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 formats supported by arg1 0.004790420904100748)	0.004790420904100748
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 greats arg1 0.007163325145618127)	0.007163325145618127
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 greats as arg1 0.00781250206187228)	0.00781250206187228
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 greats like arg1 0.010937500298576295)	0.010937500298576295
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 greats such as arg1 0.01562500130249492)	0.01562500130249492
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 Hall of Famer arg1 0.03281249142380767)	0.03281249142380767
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 icon arg1 0.004855840848300402)	0.004855840848300402
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 icons such as arg1 0.004494382479129439)	0.004494382479129439
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 immortal arg1 0.014062494361184702)	0.014062494361184702
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 legend arg1 0.005042440943271146)	0.005042440943271146
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 legends arg1 0.0076962583253371575)	0.0076962583253371575
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 legends as arg1 0.005988022828842948)	0.005988022828842948
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 legends like arg1 0.012499995433424355)	0.012499995433424355
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 lesson from arg1 8.833924547377752E-4)	8.833924547377752E-4
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 megastar arg1 0.0038834940586556493)	0.0038834940586556493
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 phenom arg1 0.005635564269198473)	0.005635564269198473
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 pitcher arg1 0.006204298008032462)	0.006204298008032462
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 player is arg1 0.005279034805304273)	0.005279034805304273
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 player like arg1 0.0018785219653354658)	0.0018785219653354658
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 players are arg1 0.00838769942931075)	0.00838769942931075
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 players including arg1 0.010937500298576295)	0.010937500298576295
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 players like arg1 0.01114983031028876)	0.01114983031028876
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 players like the arg1 0.007079648637356595)	0.007079648637356595
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 players other than arg1 0.006741572989875036)	0.006741572989875036
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 players such as arg1 0.003636363991514822)	0.003636363991514822
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 players such as the arg1 0.0071856305793257455)	0.0071856305793257455
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 player such as an arg1 0.00619468879518381)	0.00619468879518381
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 player such as arg1 0.07343746876290036)	0.07343746876290036
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 prodigy arg1 8.833924547377752E-4)	8.833924547377752E-4
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 sensation arg1 0.002719854208301258)	0.002719854208301258
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 singer arg1 0.004742105706707342)	0.004742105706707342
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 star arg1 0.0020752222969030107)	0.0020752222969030107
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 star husband arg1 0.020057302040200512)	0.020057302040200512
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 stars like arg1 8.833924547377752E-4)	8.833924547377752E-4
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 stars such as arg1 0.009985732048295545)	0.009985732048295545
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 stores such as arg1 0.0038167919990886264)	0.0038167919990886264
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 superstar arg1 0.00955204510782073)	0.00955204510782073
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 superstars arg1 0.004790420904100748)	0.004790420904100748
uncoupled_cpl	extractionPatterns(athletePlaysSport, arg2 websites like arg1 0.0038997220407072657)	0.0038997220407072657
uncoupled_cpl	extractionPatterns(athlete, presence of _ 0.028089877467922762)	0.028089877467922762
uncoupled_cpl	extractionPatterns(athlete, reach of _ 0.12229403634355217)	0.12229403634355217
uncoupled_cpl	extractionPatterns(athlete, relations with _ 0.06032775495309598)	0.06032775495309598
uncoupled_cpl	extractionPatterns(athlete, source of _ 0.14290402898601492)	0.14290402898601492
uncoupled_cpl	extractionPatterns(athlete, sources of _ 0.19331003113229514)	0.19331003113229514
uncoupled_cpl	extractionPatterns(athlete, space of _ 0.11496517759441013)	0.11496517759441013
uncoupled_cpl	extractionPatterns(athlete, storage of _ 0.1400144006327823)	0.1400144006327823
uncoupled_cpl	extractionPatterns(athlete, superstars like _ 0.024767796446881592)	0.024767796446881592
uncoupled_cpl	extractionPatterns(athlete, _ supplied by 0.14685963680959976)	0.14685963680959976
uncoupled_cpl	extractionPatterns(athlete, _ threw for 0.04150198589495149)	0.04150198589495149
uncoupled_cpl	extractionPatterns(athlete, time at _ 0.041231737149811806)	0.041231737149811806
uncoupled_cpl	extractionPatterns(athlete, tons of _ 0.1474289373461416)	0.1474289373461416
uncoupled_cpl	extractionPatterns(athlete, touchdown pass from _ 0.03370786790103484)	0.03370786790103484
uncoupled_cpl	extractionPatterns(athlete, version of _ 0.0355805193559579)	0.0355805193559579
uncoupled_cpl	extractionPatterns(athlete, war with _ 0.08595606374171166)	0.08595606374171166
uncoupled_cpl	extractionPatterns(athlete, work at _ 0.08527908909205424)	0.08527908909205424
uncoupled_cpl	extractionPatterns(athlete, work from _ 0.13473491816783742)	0.13473491816783742
uncoupled_cpl	extractionPatterns(awardTrophyTournament, ads during _ 0.028157008093966318)	0.028157008093966318
uncoupled_cpl	extractionPatterns(awardTrophyTournament, amount of _ 0.11537379850936462)	0.11537379850936462
uncoupled_cpl	extractionPatterns(awardTrophyTournament, application for _ 0.10476432241790296)	0.10476432241790296
uncoupled_cpl	extractionPatterns(awardTrophyTournament, _ begins in 0.0987766537725238)	0.0987766537725238
uncoupled_cpl	extractionPatterns(awardTrophyTournament, book of _ 0.10266161401780657)	0.10266161401780657
uncoupled_cpl	extractionPatterns(awardTrophyTournament, books for _ 0.12248729116146481)	0.12248729116146481
uncoupled_cpl	extractionPatterns(awardTrophyTournament, chance in _ 0.12204676353848586)	0.12204676353848586
uncoupled_cpl	extractionPatterns(awardTrophyTournament, charge of _ 0.2299487088335021)	0.2299487088335021
uncoupled_cpl	extractionPatterns(awardTrophyTournament, commercials during _ 0.03220192646872944)	0.03220192646872944
uncoupled_cpl	extractionPatterns(awardTrophyTournament, _ concluded with 0.13944988354655832)	0.13944988354655832
uncoupled_cpl	extractionPatterns(awardTrophyTournament, date of _ 0.12262124296202785)	0.12262124296202785
uncoupled_cpl	extractionPatterns(awardTrophyTournament, _ ended with 0.11992508773644368)	0.11992508773644368
uncoupled_cpl	extractionPatterns(awardTrophyTournament, first day of _ 0.11240419726549987)	0.11240419726549987
uncoupled_cpl	extractionPatterns(awardTrophyTournament, first week of _ 0.10674376885060338)	0.10674376885060338
uncoupled_cpl	extractionPatterns(awardTrophyTournament, gates of _ 0.11961643865050381)	0.11961643865050381
uncoupled_cpl	extractionPatterns(awardTrophyTournament, gold medal at _ 0.03583619008349264)	0.03583619008349264
uncoupled_cpl	extractionPatterns(awardTrophyTournament, great deal of _ 0.1066102092777413)	0.1066102092777413
uncoupled_cpl	extractionPatterns(awardTrophyTournament, history at _ 0.14043100197191216)	0.14043100197191216
uncoupled_cpl	extractionPatterns(awardTrophyTournament, _ is played in 0.1307266208572892)	0.1307266208572892
uncoupled_cpl	extractionPatterns(awardTrophyTournament, _ is played on 0.20776180993564305)	0.20776180993564305
uncoupled_cpl	extractionPatterns(awardTrophyTournament, job after _ 0.1491460875517046)	0.1491460875517046
uncoupled_cpl	extractionPatterns(awardTrophyTournament, last day of _ 0.10768639779112464)	0.10768639779112464
uncoupled_cpl	extractionPatterns(awardTrophyTournament, last won _ 0.0348128746295852)	0.0348128746295852
uncoupled_cpl	extractionPatterns(awardTrophyTournament, length of _ 0.1731572738611308)	0.1731572738611308
uncoupled_cpl	extractionPatterns(awardTrophyTournament, medals at _ 0.04712460571685742)	0.04712460571685742
uncoupled_cpl	extractionPatterns(awardTrophyTournament, period of _ 0.42239009339582434)	0.42239009339582434
uncoupled_cpl	extractionPatterns(awardTrophyTournament, place in _ 0.03916448256181952)	0.03916448256181952
uncoupled_cpl	extractionPatterns(awardTrophyTournament, playoffs for _ 0.18206837056568395)	0.18206837056568395
uncoupled_cpl	extractionPatterns(awardTrophyTournament, point in _ 0.15227487547862978)	0.15227487547862978
uncoupled_cpl	extractionPatterns(awardTrophyTournament, reach of _ 0.13277796259829874)	0.13277796259829874
uncoupled_cpl	extractionPatterns(awardTrophyTournament, run towards _ 0.026450505746763657)	0.026450505746763657
uncoupled_cpl	extractionPatterns(awardTrophyTournament, schedule of _ 0.113158023400482)	0.113158023400482
uncoupled_cpl	extractionPatterns(awardTrophyTournament, second week of _ 0.11086921672815545)	0.11086921672815545
uncoupled_cpl	extractionPatterns(awardTrophyTournament, service during _ 0.11982619033984653)	0.11982619033984653
uncoupled_cpl	extractionPatterns(awardTrophyTournament, seventh game of _ 0.033942546246342825)	0.033942546246342825
uncoupled_cpl	extractionPatterns(awardTrophyTournament, silver medal in _ 0.03156996768535086)	0.03156996768535086
uncoupled_cpl	extractionPatterns(awardTrophyTournament, site of _ 0.03133160332300897)	0.03133160332300897
uncoupled_cpl	extractionPatterns(awardTrophyTournament, space of _ 0.11984476483883572)	0.11984476483883572
uncoupled_cpl	extractionPatterns(awardTrophyTournament, _ spent in 0.37482725967724495)	0.37482725967724495
uncoupled_cpl	extractionPatterns(awardTrophyTournament, termination of _ 0.10354996801760824)	0.10354996801760824
uncoupled_cpl	extractionPatterns(awardTrophyTournament, term of _ 0.18600718071862796)	0.18600718071862796
uncoupled_cpl	extractionPatterns(awardTrophyTournament, time after _ 0.1682638493044042)	0.1682638493044042
uncoupled_cpl	extractionPatterns(awardTrophyTournament, victory in _ 0.10783640163530403)	0.10783640163530403
uncoupled_cpl	extractionPatterns(awardTrophyTournament, _ was marked by 0.11721798007461014)	0.11721798007461014
uncoupled_cpl	extractionPatterns(awardTrophyTournament, _ was played in 0.1175955599214924)	0.1175955599214924
uncoupled_cpl	extractionPatterns(awardTrophyTournament, _ was spent in 0.31073339041865833)	0.31073339041865833
uncoupled_cpl	extractionPatterns(awardTrophyTournament, week during _ 0.13979852500348453)	0.13979852500348453
uncoupled_cpl	extractionPatterns(awardTrophyTournament, _ were held in 0.10067699059040622)	0.10067699059040622
uncoupled_cpl	extractionPatterns(awardTrophyTournament, win in _ 0.10812243895239733)	0.10812243895239733
uncoupled_cpl	extractionPatterns(awardTrophyTournament, year after _ 0.4399338078900831)	0.4399338078900831
uncoupled_cpl	extractionPatterns(boardGame, affairs of _ 0.12013441957376066)	0.12013441957376066
uncoupled_cpl	extractionPatterns(boardGame, basis in _ 0.10428997902196593)	0.10428997902196593
uncoupled_cpl	extractionPatterns(boardGame, bodies of _ 0.21072885906303623)	0.21072885906303623
uncoupled_cpl	extractionPatterns(boardGame, body of _ 0.15498561078769074)	0.15498561078769074
uncoupled_cpl	extractionPatterns(boardGame, book of _ 0.12156052403821122)	0.12156052403821122
uncoupled_cpl	extractionPatterns(boardGame, brother in _ 0.2685288290590077)	0.2685288290590077
uncoupled_cpl	extractionPatterns(boardGame, chance in _ 0.11812947621530565)	0.11812947621530565
uncoupled_cpl	extractionPatterns(boardGame, churches of _ 0.14175911997442345)	0.14175911997442345
uncoupled_cpl	extractionPatterns(boardGame, classic game of _ 0.09756094688628882)	0.09756094688628882
uncoupled_cpl	extractionPatterns(boardGame, court of _ 0.3211480651664659)	0.3211480651664659
uncoupled_cpl	extractionPatterns(boardGame, courts of _ 0.1828059630263259)	0.1828059630263259
uncoupled_cpl	extractionPatterns(boardGame, daughter in _ 0.13105646737390578)	0.13105646737390578
uncoupled_cpl	extractionPatterns(boardGame, drink of _ 0.10874799999859217)	0.10874799999859217
uncoupled_cpl	extractionPatterns(boardGame, efforts on _ 0.11406669018632076)	0.11406669018632076
uncoupled_cpl	extractionPatterns(boardGame, enemies of _ 0.12154435756360854)	0.12154435756360854
uncoupled_cpl	extractionPatterns(boardGame, father in _ 0.12996774171141118)	0.12996774171141118
uncoupled_cpl	extractionPatterns(boardGame, game on _ 0.0702347553507989)	0.0702347553507989
uncoupled_cpl	extractionPatterns(boardGame, games of _ 0.14024533460234986)	0.14024533460234986
uncoupled_cpl	extractionPatterns(boardGame, good game of _ 0.030945304617605973)	0.030945304617605973
uncoupled_cpl	extractionPatterns(boardGame, hatred of _ 0.11698892579369986)	0.11698892579369986
uncoupled_cpl	extractionPatterns(boardGame, heritage from _ 0.02034760631114445)	0.02034760631114445
uncoupled_cpl	extractionPatterns(boardGame, house of _ 0.019173483925837544)	0.019173483925837544
uncoupled_cpl	extractionPatterns(boardGame, _ is a classic game 0.7392242155941596)	0.7392242155941596
uncoupled_cpl	extractionPatterns(boardGame, _ is a game 0.027688337038359434)	0.027688337038359434
uncoupled_cpl	extractionPatterns(boardGame, _ is played by 0.05387649400453908)	0.05387649400453908
uncoupled_cpl	extractionPatterns(boardGame, _ left on 0.23731118078113367)	0.23731118078113367
uncoupled_cpl	extractionPatterns(boardGame, life on _ 0.13072649013073376)	0.13072649013073376
uncoupled_cpl	extractionPatterns(boardGame, man of _ 0.10388258583263016)	0.10388258583263016
uncoupled_cpl	extractionPatterns(boardGame, men playing _ 0.09160302351876684)	0.09160302351876684
uncoupled_cpl	extractionPatterns(boardGame, mother in _ 0.19285628591857765)	0.19285628591857765
uncoupled_cpl	extractionPatterns(boardGame, People of _ 0.09735628386920919)	0.09735628386920919
uncoupled_cpl	extractionPatterns(boardGame, _ played by 0.1338855431000595)	0.1338855431000595
uncoupled_cpl	extractionPatterns(boardGame, _ playing program 0.14186845840047071)	0.14186845840047071
uncoupled_cpl	extractionPatterns(boardGame, play online _ 0.054074097341292496)	0.054074097341292496
uncoupled_cpl	extractionPatterns(boardGame, realm of _ 0.06809176488075996)	0.06809176488075996
uncoupled_cpl	extractionPatterns(boardGame, realms of _ 0.07698158820050396)	0.07698158820050396
uncoupled_cpl	extractionPatterns(boardGame, religion of _ 0.10584071539354595)	0.10584071539354595
uncoupled_cpl	extractionPatterns(boardGame, session of _ 0.0674964010704429)	0.0674964010704429
uncoupled_cpl	extractionPatterns(boardGame, sister in _ 0.2671131306559093)	0.2671131306559093
uncoupled_cpl	extractionPatterns(boardGame, son in _ 0.11283045333287073)	0.11283045333287073
uncoupled_cpl	extractionPatterns(boardGame, sons of _ 0.1128224426550665)	0.1128224426550665
uncoupled_cpl	extractionPatterns(boardGame, stream of _ 0.14985351930146243)	0.14985351930146243
uncoupled_cpl	extractionPatterns(boardGame, struggle for _ 0.13542517570567877)	0.13542517570567877
uncoupled_cpl	extractionPatterns(boardGame, term in _ 0.13013759046918344)	0.13013759046918344
uncoupled_cpl	extractionPatterns(boardGame, time playing _ 0.06461246048688249)	0.06461246048688249
uncoupled_cpl	extractionPatterns(boardGame, tree of _ 0.10313783308842381)	0.10313783308842381
uncoupled_cpl	extractionPatterns(boardGame, version of _ 1.1384082331736451)	1.1384082331736451
uncoupled_cpl	extractionPatterns(boardGame, voice of _ 0.049177848038188275)	0.049177848038188275
uncoupled_cpl	extractionPatterns(boardGame, word of _ 0.02323271184727867)	0.02323271184727867
uncoupled_cpl	extractionPatterns(boardGame, words of _ 0.12107488990568614)	0.12107488990568614
uncoupled_cpl	extractionPatterns(bodyPart, _ are covered with 0.09405044422131002)	0.09405044422131002
uncoupled_cpl	extractionPatterns(bodyPart, change of _ 0.09747259669708899)	0.09747259669708899
uncoupled_cpl	extractionPatterns(bodyPart, charge of _ 0.10842029329275372)	0.10842029329275372
uncoupled_cpl	extractionPatterns(bodyPart, _ coming through 0.10927321208251152)	0.10927321208251152
uncoupled_cpl	extractionPatterns(bodyPart, _ crossed in 0.08122119854996541)	0.08122119854996541
uncoupled_cpl	extractionPatterns(bodyPart, different set of _ 0.12791132865550417)	0.12791132865550417
uncoupled_cpl	extractionPatterns(bodyPart, _ do the walking 0.1474395526117755)	0.1474395526117755
uncoupled_cpl	extractionPatterns(bodyPart, _ drawn from 0.09419577027002667)	0.09419577027002667
uncoupled_cpl	extractionPatterns(bodyPart, _ drawn on 0.11390107163649442)	0.11390107163649442
uncoupled_cpl	extractionPatterns(bodyPart, extra set of _ 0.23297689346783895)	0.23297689346783895
uncoupled_cpl	extractionPatterns(bodyPart, _ falling on 0.10064377266477052)	0.10064377266477052
uncoupled_cpl	extractionPatterns(bodyPart, _ fell on 0.09804732585408263)	0.09804732585408263
uncoupled_cpl	extractionPatterns(bodyPart, first set of _ 0.13270840517153457)	0.13270840517153457
uncoupled_cpl	extractionPatterns(bodyPart, _ fixed on 0.32174885216082105)	0.32174885216082105
uncoupled_cpl	extractionPatterns(bodyPart, flash of _ 0.2212584065742725)	0.2212584065742725
uncoupled_cpl	extractionPatterns(bodyPart, _ floating in 0.09499604688350197)	0.09499604688350197
uncoupled_cpl	extractionPatterns(bodyPart, _ hanging over 0.10109758909256902)	0.10109758909256902
uncoupled_cpl	extractionPatterns(bodyPart, _ hurt from 0.09504612299410575)	0.09504612299410575
uncoupled_cpl	extractionPatterns(bodyPart, _ inserted into 0.0964487982048394)	0.0964487982048394
uncoupled_cpl	extractionPatterns(bodyPart, _ is covered in 0.09577438593054037)	0.09577438593054037
uncoupled_cpl	extractionPatterns(bodyPart, _ is covered with 0.12746276452215463)	0.12746276452215463
uncoupled_cpl	extractionPatterns(bodyPart, _ is inserted into 0.11516988267653289)	0.11516988267653289
uncoupled_cpl	extractionPatterns(bodyPart, _ is made of 0.10015583058927921)	0.10015583058927921
uncoupled_cpl	extractionPatterns(bodyPart, _ left at 0.2873196269943892)	0.2873196269943892
uncoupled_cpl	extractionPatterns(bodyPart, _ left on 0.25012186997490415)	0.25012186997490415
uncoupled_cpl	extractionPatterns(bodyPart, _ listed below 0.10752864519287027)	0.10752864519287027
uncoupled_cpl	extractionPatterns(bodyPart, _ locked on 0.2324142358666156)	0.2324142358666156
uncoupled_cpl	extractionPatterns(bodyPart, _ mounted on 0.09758573051418543)	0.09758573051418543
uncoupled_cpl	extractionPatterns(bodyPart, new set of _ 0.13178255833539695)	0.13178255833539695
uncoupled_cpl	extractionPatterns(bodyPart, next set of _ 0.13772050137219966)	0.13772050137219966
uncoupled_cpl	extractionPatterns(bodyPart, own set of _ 0.14247068781162975)	0.14247068781162975
uncoupled_cpl	extractionPatterns(bodyPart, _ pointed at 0.1065857983349763)	0.1065857983349763
uncoupled_cpl	extractionPatterns(bodyPart, point of _ 0.33250213428652076)	0.33250213428652076
uncoupled_cpl	extractionPatterns(bodyPart, points of _ 0.2504249510379879)	0.2504249510379879
uncoupled_cpl	extractionPatterns(bodyPart, _ pressed against 0.08266127875170526)	0.08266127875170526
uncoupled_cpl	extractionPatterns(bodyPart, _ rested on 0.12140818267906277)	0.12140818267906277
uncoupled_cpl	extractionPatterns(bodyPart, _ resting on 0.10910276966336889)	0.10910276966336889
uncoupled_cpl	extractionPatterns(bodyPart, _ resulting in 0.09014975923967437)	0.09014975923967437
uncoupled_cpl	extractionPatterns(bodyPart, _ running down 0.09490337597250458)	0.09490337597250458
uncoupled_cpl	extractionPatterns(bodyPart, second set of _ 0.17689852781184665)	0.17689852781184665
uncoupled_cpl	extractionPatterns(bodyPart, _ set on 0.12315026531656574)	0.12315026531656574
uncoupled_cpl	extractionPatterns(bodyPart, sets of _ 0.09931933637996149)	0.09931933637996149
uncoupled_cpl	extractionPatterns(bodyPart, speed of _ 0.15745225650062644)	0.15745225650062644
uncoupled_cpl	extractionPatterns(bodyPart, _ sticking out of 0.10618929241234165)	0.10618929241234165
uncoupled_cpl	extractionPatterns(bodyPart, _ tied behind 0.3685986117615425)	0.3685986117615425
uncoupled_cpl	extractionPatterns(bodyPart, _ was covered in 0.09902439946214936)	0.09902439946214936
uncoupled_cpl	extractionPatterns(bodyPart, _ was covered with 0.13277304990456795)	0.13277304990456795
uncoupled_cpl	extractionPatterns(bodyPart, _ was found in 0.09787569732967488)	0.09787569732967488
uncoupled_cpl	extractionPatterns(bodyPart, _ were filled with 0.10155527981880598)	0.10155527981880598
uncoupled_cpl	extractionPatterns(bodyPart, _ wrapped around 0.10882425907227372)	0.10882425907227372
uncoupled_cpl	extractionPatterns(building, campus of _ 0.24029402531268015)	0.24029402531268015
uncoupled_cpl	extractionPatterns(building, circle of _ 0.20053990993477044)	0.20053990993477044
uncoupled_cpl	extractionPatterns(building, coach at _ 0.2558663605266566)	0.2558663605266566
uncoupled_cpl	extractionPatterns(building, college at _ 0.300437359794251)	0.300437359794251
uncoupled_cpl	extractionPatterns(building, _ conducted by 0.14076281051664524)	0.14076281051664524
uncoupled_cpl	extractionPatterns(building, _ contained in 0.240110270678425)	0.240110270678425
uncoupled_cpl	extractionPatterns(building, _ contained within 0.22130067096604913)	0.22130067096604913
uncoupled_cpl	extractionPatterns(building, courses at _ 0.24585533134558704)	0.24585533134558704
uncoupled_cpl	extractionPatterns(building, degree at _ 0.21534540609125247)	0.21534540609125247
uncoupled_cpl	extractionPatterns(building, degree from _ 0.24767298792694764)	0.24767298792694764
uncoupled_cpl	extractionPatterns(building, degrees from _ 0.2738321367316335)	0.2738321367316335
uncoupled_cpl	extractionPatterns(building, department at _ 0.09038933447641065)	0.09038933447641065
uncoupled_cpl	extractionPatterns(building, education at _ 0.08520842202274426)	0.08520842202274426
uncoupled_cpl	extractionPatterns(building, education from _ 0.2710326461119651)	0.2710326461119651
uncoupled_cpl	extractionPatterns(building, engineering at _ 0.3244223703380251)	0.3244223703380251
uncoupled_cpl	extractionPatterns(building, faculty at _ 0.18036566797947906)	0.18036566797947906
uncoupled_cpl	extractionPatterns(building, faculty member at _ 0.2485895838547341)	0.2485895838547341
uncoupled_cpl	extractionPatterns(building, faculty of _ 0.2837757401828571)	0.2837757401828571
uncoupled_cpl	extractionPatterns(building, fellow at _ 0.24123830900986604)	0.24123830900986604
uncoupled_cpl	extractionPatterns(building, friends of _ 0.18446454536706147)	0.18446454536706147
uncoupled_cpl	extractionPatterns(building, graduate of _ 0.36395101302634364)	0.36395101302634364
uncoupled_cpl	extractionPatterns(building, graduation from _ 0.24512181203911737)	0.24512181203911737
uncoupled_cpl	extractionPatterns(building, heads of _ 0.17877343519779687)	0.17877343519779687
uncoupled_cpl	extractionPatterns(building, history at _ 0.1443571271501879)	0.1443571271501879
uncoupled_cpl	extractionPatterns(building, hundreds of _ 0.16442693032707803)	0.16442693032707803
uncoupled_cpl	extractionPatterns(building, institutions such as _ 0.08471183149563025)	0.08471183149563025
uncoupled_cpl	extractionPatterns(building, law at _ 0.3102558497870731)	0.3102558497870731
uncoupled_cpl	extractionPatterns(building, lot of other _ 0.2372103449584318)	0.2372103449584318
uncoupled_cpl	extractionPatterns(building, millions of _ 0.2014274524285344)	0.2014274524285344
uncoupled_cpl	extractionPatterns(building, network of _ 0.052838774090713185)	0.052838774090713185
uncoupled_cpl	extractionPatterns(building, philosophy at _ 0.2362031592478261)	0.2362031592478261
uncoupled_cpl	extractionPatterns(building, professor at _ 0.24766159523153702)	0.24766159523153702
uncoupled_cpl	extractionPatterns(building, professor in _ 0.33510445157801394)	0.33510445157801394
uncoupled_cpl	extractionPatterns(building, program of _ 0.23783669411649483)	0.23783669411649483
uncoupled_cpl	extractionPatterns(building, programs of _ 0.24676470690323005)	0.24676470690323005
uncoupled_cpl	extractionPatterns(building, _ provided in 0.1342409445513005)	0.1342409445513005
uncoupled_cpl	extractionPatterns(building, requests for _ 0.13266395530157105)	0.13266395530157105
uncoupled_cpl	extractionPatterns(building, researcher at _ 0.25931830370923775)	0.25931830370923775
uncoupled_cpl	extractionPatterns(building, researchers at _ 0.21754272738491381)	0.21754272738491381
uncoupled_cpl	extractionPatterns(building, roofs of _ 0.04745131694207327)	0.04745131694207327
uncoupled_cpl	extractionPatterns(building, science at _ 0.19656816738887606)	0.19656816738887606
uncoupled_cpl	extractionPatterns(building, selection of _ 0.09117277009532238)	0.09117277009532238
uncoupled_cpl	extractionPatterns(building, self contained _ 0.05470282092735118)	0.05470282092735118
uncoupled_cpl	extractionPatterns(building, sharing of _ 0.16502901038846896)	0.16502901038846896
uncoupled_cpl	extractionPatterns(building, student at _ 0.16697319306818076)	0.16697319306818076
uncoupled_cpl	extractionPatterns(building, studies at _ 0.3476249883295365)	0.3476249883295365
uncoupled_cpl	extractionPatterns(building, tens of _ 0.6906134627057456)	0.6906134627057456
uncoupled_cpl	extractionPatterns(building, variety of _ 0.12018236277120241)	0.12018236277120241
uncoupled_cpl	extractionPatterns(building, wealth of _ 0.28448436016068207)	0.28448436016068207
uncoupled_cpl	extractionPatterns(building, _ were built in 0.08831379100901965)	0.08831379100901965
uncoupled_cpl	extractionPatterns(celebrity, actors like _ 0.1452241308460126)	0.1452241308460126
uncoupled_cpl	extractionPatterns(celebrity, actors such as _ 0.1131418429600648)	0.1131418429600648
uncoupled_cpl	extractionPatterns(celebrity, acts like _ 0.10367772387347361)	0.10367772387347361
uncoupled_cpl	extractionPatterns(celebrity, acts such as _ 0.1197788683413723)	0.1197788683413723
uncoupled_cpl	extractionPatterns(celebrity, albums by _ 0.10900222326874992)	0.10900222326874992
uncoupled_cpl	extractionPatterns(celebrity, artists include _ 0.10133838657205319)	0.10133838657205319
uncoupled_cpl	extractionPatterns(celebrity, artists including _ 0.06700841972160677)	0.06700841972160677
uncoupled_cpl	extractionPatterns(celebrity, artists , including _ 0.12444841329358944)	0.12444841329358944
uncoupled_cpl	extractionPatterns(celebrity, artists like _ 0.06864108615439234)	0.06864108615439234
uncoupled_cpl	extractionPatterns(celebrity, artists such as _ 0.06958731388656725)	0.06958731388656725
uncoupled_cpl	extractionPatterns(celebrity, bands like _ 0.1361749258816561)	0.1361749258816561
uncoupled_cpl	extractionPatterns(celebrity, bands such as _ 0.12381311343344405)	0.12381311343344405
uncoupled_cpl	extractionPatterns(celebrity, cast includes _ 0.11461323416488256)	0.11461323416488256
uncoupled_cpl	extractionPatterns(celebrity, cast including _ 0.11907163407062628)	0.11907163407062628
uncoupled_cpl	extractionPatterns(celebrity, celebrities including _ 0.015441169383192928)	0.015441169383192928
uncoupled_cpl	extractionPatterns(celebrity, character played by _ 0.12499994270999265)	0.12499994270999265
uncoupled_cpl	extractionPatterns(celebrity, comedy starring _ 0.10772355600778637)	0.10772355600778637
uncoupled_cpl	extractionPatterns(celebrity, duets with _ 0.11632096141167976)	0.11632096141167976
uncoupled_cpl	extractionPatterns(celebrity, duet with _ 0.08040386755791562)	0.08040386755791562
uncoupled_cpl	extractionPatterns(celebrity, film starring _ 0.10822780151117349)	0.10822780151117349
uncoupled_cpl	extractionPatterns(celebrity, film stars _ 0.07330195494363179)	0.07330195494363179
uncoupled_cpl	extractionPatterns(celebrity, greats as _ 0.13540621750818477)	0.13540621750818477
uncoupled_cpl	extractionPatterns(celebrity, greats like _ 0.11334001453479775)	0.11334001453479775
uncoupled_cpl	extractionPatterns(celebrity, greats such as _ 0.12512513029858022)	0.12512513029858022
uncoupled_cpl	extractionPatterns(celebrity, headlines involving _ 0.10613440673733401)	0.10613440673733401
uncoupled_cpl	extractionPatterns(celebrity, influences include _ 0.15815811792614196)	0.15815811792614196
uncoupled_cpl	extractionPatterns(celebrity, legends like _ 0.12437314477456969)	0.12437314477456969
uncoupled_cpl	extractionPatterns(celebrity, legends such as _ 0.13713711695335354)	0.13713711695335354
uncoupled_cpl	extractionPatterns(celebrity, luminaries as _ 0.10151618856162559)	0.10151618856162559
uncoupled_cpl	extractionPatterns(celebrity, lyrics by _ 0.11318099681095456)	0.11318099681095456
uncoupled_cpl	extractionPatterns(celebrity, lyrics performed by _ 0.12312317523821396)	0.12312317523821396
uncoupled_cpl	extractionPatterns(celebrity, movie starring _ 0.12895071524311788)	0.12895071524311788
uncoupled_cpl	extractionPatterns(celebrity, movie stars _ 0.1463414045087318)	0.1463414045087318
uncoupled_cpl	extractionPatterns(celebrity, musicians like _ 0.1131521393362522)	0.1131521393362522
uncoupled_cpl	extractionPatterns(celebrity, musicians such as _ 0.1178539656720809)	0.1178539656720809
uncoupled_cpl	extractionPatterns(celebrity, opening act for _ 0.10479282218939381)	0.10479282218939381
uncoupled_cpl	extractionPatterns(celebrity, performers like _ 0.11911915313204276)	0.11911915313204276
uncoupled_cpl	extractionPatterns(celebrity, performers such as _ 0.126135191350619)	0.126135191350619
uncoupled_cpl	extractionPatterns(celebrity, presence of _ 0.0531271065403214)	0.0531271065403214
uncoupled_cpl	extractionPatterns(celebrity, ringtones by _ 0.10095736297834446)	0.10095736297834446
uncoupled_cpl	extractionPatterns(celebrity, singers like _ 0.14944841438160136)	0.14944841438160136
uncoupled_cpl	extractionPatterns(celebrity, songs by _ 0.11399188697569414)	0.11399188697569414
uncoupled_cpl	extractionPatterns(celebrity, _ stars as 0.10427934198660371)	0.10427934198660371
uncoupled_cpl	extractionPatterns(celebrity, stars including _ 0.04976461946263867)	0.04976461946263867
uncoupled_cpl	extractionPatterns(celebrity, stars like _ 0.031350188473732096)	0.031350188473732096
uncoupled_cpl	extractionPatterns(celebrity, stars such as _ 0.03532278697261121)	0.03532278697261121
uncoupled_cpl	extractionPatterns(celebrity, such artists as _ 0.017478145623401293)	0.017478145623401293
uncoupled_cpl	extractionPatterns(celebrity, such stars as _ 0.06600425957652552)	0.06600425957652552
uncoupled_cpl	extractionPatterns(celebrity, tunes by _ 0.12108978303305315)	0.12108978303305315
uncoupled_cpl	extractionPatterns(celebrity, version of _ 0.05441175847714643)	0.05441175847714643
uncoupled_cpl	extractionPatterns(ceo, address by _ 0.0023995189481248185)	0.0023995189481248185
uncoupled_cpl	extractionPatterns(ceo, assassination of _ 0.10042942871329189)	0.10042942871329189
uncoupled_cpl	extractionPatterns(ceo, ball of _ 0.13296930059473447)	0.13296930059473447
uncoupled_cpl	extractionPatterns(ceo, believer in _ 0.13333906952902153)	0.13333906952902153
uncoupled_cpl	extractionPatterns(ceo, believers in _ 0.16657393734376338)	0.16657393734376338
uncoupled_cpl	extractionPatterns(ceo, birth of _ 0.11718223404223442)	0.11718223404223442
uncoupled_cpl	extractionPatterns(ceo, blessings of _ 0.13161345811606745)	0.13161345811606745
uncoupled_cpl	extractionPatterns(ceo, blood of _ 0.22889383169131783)	0.22889383169131783
uncoupled_cpl	extractionPatterns(ceo, boy named _ 0.1113707002496662)	0.1113707002496662
uncoupled_cpl	extractionPatterns(ceo, company owned by _ 0.0017203250903477984)	0.0017203250903477984
uncoupled_cpl	extractionPatterns(ceo, denial of _ 0.12580565291425233)	0.12580565291425233
uncoupled_cpl	extractionPatterns(ceo, disciple of _ 0.19071082565512182)	0.19071082565512182
uncoupled_cpl	extractionPatterns(ceo, doctrines of _ 0.1406966675405194)	0.1406966675405194
uncoupled_cpl	extractionPatterns(ceo, faith in _ 0.09638082576520529)	0.09638082576520529
uncoupled_cpl	extractionPatterns(ceo, faith of _ 0.13508865667179293)	0.13508865667179293
uncoupled_cpl	extractionPatterns(ceo, follower of _ 0.277497043474042)	0.277497043474042
uncoupled_cpl	extractionPatterns(ceo, fullness of _ 0.19498746588443427)	0.19498746588443427
uncoupled_cpl	extractionPatterns(ceo, _ gave a speech 9.54881795012791E-4)	9.54881795012791E-4
uncoupled_cpl	extractionPatterns(ceo, gift of _ 0.12712479972913787)	0.12712479972913787
uncoupled_cpl	extractionPatterns(ceo, gospel of _ 0.20947937356583834)	0.20947937356583834
uncoupled_cpl	extractionPatterns(ceo, gurus such as _ 0.0017203250903477984)	0.0017203250903477984
uncoupled_cpl	extractionPatterns(ceo, guy named _ 0.11471987405251761)	0.11471987405251761
uncoupled_cpl	extractionPatterns(ceo, interview of _ 0.0014323225376734173)	0.0014323225376734173
uncoupled_cpl	extractionPatterns(ceo, _ is a genius 0.0022118455974414458)	0.0022118455974414458
uncoupled_cpl	extractionPatterns(ceo, _ is a master 0.0014590554568290667)	0.0014590554568290667
uncoupled_cpl	extractionPatterns(ceo, _ is the head 0.10551628265635152)	0.10551628265635152
uncoupled_cpl	extractionPatterns(ceo, leaders like _ 0.0021484835742414986)	0.0021484835742414986
uncoupled_cpl	extractionPatterns(ceo, Life of _ 0.08597755544399793)	0.08597755544399793
uncoupled_cpl	extractionPatterns(ceo, matters of _ 0.13294363999604714)	0.13294363999604714
uncoupled_cpl	extractionPatterns(ceo, message of _ 0.17623375707082772)	0.17623375707082772
uncoupled_cpl	extractionPatterns(ceo, ministry of _ 0.14666283002507993)	0.14666283002507993
uncoupled_cpl	extractionPatterns(ceo, Mother of _ 0.1277203718107744)	0.1277203718107744
uncoupled_cpl	extractionPatterns(ceoOf, arg1 announced arg2 8.320159829875934E-5)	8.320159829875934E-5
uncoupled_cpl	extractionPatterns(ceoOf, arg1 bought arg2 1.2478940518295822E-4)	1.2478940518295822E-4
uncoupled_cpl	extractionPatterns(ceoOf, arg1 does at arg2 3.9292728054405733E-4)	3.9292728054405733E-4
uncoupled_cpl	extractionPatterns(ceoOf, arg1 for a job at arg2 3.9292728054405733E-4)	3.9292728054405733E-4
uncoupled_cpl	extractionPatterns(ceoOf, arg1 founded arg2 7.019874721765876E-4)	7.019874721765876E-4
uncoupled_cpl	extractionPatterns(ceoOf, arg1 has said that arg2 6.622516091450148E-4)	6.622516091450148E-4
uncoupled_cpl	extractionPatterns(ceoOf, arg1 has used arg2 1.8048913065181493E-4)	1.8048913065181493E-4
uncoupled_cpl	extractionPatterns(ceoOf, arg1 is the CEO of arg2 7.747935121862378E-4)	7.747935121862378E-4
uncoupled_cpl	extractionPatterns(ceoOf, arg1 is the founder of arg2 3.9292728054405733E-4)	3.9292728054405733E-4
uncoupled_cpl	extractionPatterns(ceoOf, arg1 joined arg2 5.3499941367365905E-5)	5.3499941367365905E-5
uncoupled_cpl	extractionPatterns(ceoOf, arg1 launched arg2 4.254777481849084E-5)	4.254777481849084E-5
uncoupled_cpl	extractionPatterns(ceoOf, arg1 leaving arg2 1.4962775224045075E-4)	1.4962775224045075E-4
uncoupled_cpl	extractionPatterns(ceoOf, arg1 noted that arg2 9.070292066350034E-5)	9.070292066350034E-5
uncoupled_cpl	extractionPatterns(ceoOf, arg1 notes that arg2 9.070292066350034E-5)	9.070292066350034E-5
uncoupled_cpl	extractionPatterns(ceoOf, arg1 ran arg2 6.194442164680058E-5)	6.194442164680058E-5
uncoupled_cpl	extractionPatterns(ceoOf, arg1 says arg2 4.7041093898467275E-5)	4.7041093898467275E-5
uncoupled_cpl	extractionPatterns(ceoOf, arg1 says that arg2 4.254777481849084E-5)	4.254777481849084E-5
uncoupled_cpl	extractionPatterns(ceoOf, arg1 started arg2 2.678452954267685E-4)	2.678452954267685E-4
uncoupled_cpl	extractionPatterns(ceoOf, arg1 talking about arg2 1.3605436628666187E-4)	1.3605436628666187E-4
uncoupled_cpl	extractionPatterns(ceoOf, arg1 the founder of arg2 2.367144489508622E-4)	2.367144489508622E-4
uncoupled_cpl	extractionPatterns(ceoOf, arg1 turned arg2 6.194442164680058E-5)	6.194442164680058E-5
uncoupled_cpl	extractionPatterns(ceoOf, arg1 unveiled arg2 2.367144489508622E-4)	2.367144489508622E-4
uncoupled_cpl	extractionPatterns(ceoOf, arg1 who runs arg2 1.8048913065181493E-4)	1.8048913065181493E-4
uncoupled_cpl	extractionPatterns(ceoOf, arg2 billionaire arg1 0.003357438321837335)	0.003357438321837335
uncoupled_cpl	extractionPatterns(ceoOf, arg2 boss arg1 0.004022317700801656)	0.004022317700801656
uncoupled_cpl	extractionPatterns(ceoOf, arg2 CEO and Founder arg1 1.8048913065181493E-4)	1.8048913065181493E-4
uncoupled_cpl	extractionPatterns(ceoOf, arg2 chairman and CEO arg1 0.0018140597310859808)	0.0018140597310859808
uncoupled_cpl	extractionPatterns(ceoOf, arg2 Chairman and CEO arg1 0.011594203546799658)	0.011594203546799658
uncoupled_cpl	extractionPatterns(ceoOf, arg2 chairman arg1 0.0010651900979729186)	0.0010651900979729186
uncoupled_cpl	extractionPatterns(ceoOf, arg2 chief arg1 0.0010469940814238719)	0.0010469940814238719
uncoupled_cpl	extractionPatterns(ceoOf, arg2 chief executive arg1 0.0441264015967877)	0.0441264015967877
uncoupled_cpl	extractionPatterns(ceoOf, arg2 chief executive officer arg1 0.02028986050965964)	0.02028986050965964
uncoupled_cpl	extractionPatterns(ceoOf, arg2 cofounder arg1 0.0018140597310859808)	0.0018140597310859808
uncoupled_cpl	extractionPatterns(ceoOf, arg2 creator arg1 6.779662839145465E-4)	6.779662839145465E-4
uncoupled_cpl	extractionPatterns(ceoOf, arg2 entrepreneur arg1 1.8048913065181493E-4)	1.8048913065181493E-4
uncoupled_cpl	extractionPatterns(ceoOf, arg2 founder and CEO arg1 0.0173913034400575)	0.0173913034400575
uncoupled_cpl	extractionPatterns(ceoOf, arg2 Founder and CEO arg1 1.8048913065181493E-4)	1.8048913065181493E-4
uncoupled_cpl	extractionPatterns(ceoOf, arg2 founder and chairman arg1 0.0018140597310859808)	0.0018140597310859808
uncoupled_cpl	extractionPatterns(ceoOf, arg2 founder arg1 0.009381233700866253)	0.009381233700866253
uncoupled_cpl	extractionPatterns(ceoOf, arg2 guru arg1 4.940711612684569E-4)	4.940711612684569E-4
uncoupled_cpl	extractionPatterns(ceoOf, arg2 head arg1 2.950215952696086E-4)	2.950215952696086E-4
uncoupled_cpl	extractionPatterns(ceoOf, arg2 head honcho arg1 6.622516091450148E-4)	6.622516091450148E-4
uncoupled_cpl	extractionPatterns(ceoOf, arg2 hired arg1 6.194442164680058E-5)	6.194442164680058E-5
uncoupled_cpl	extractionPatterns(ceoOf, arg2 magnate arg1 0.0018140597310859808)	0.0018140597310859808
uncoupled_cpl	extractionPatterns(ceoOf, arg2 owner arg1 7.222473360666614E-5)	7.222473360666614E-5
uncoupled_cpl	extractionPatterns(ceoOf, arg2 president and CEO arg1 7.747935121862378E-4)	7.747935121862378E-4
uncoupled_cpl	extractionPatterns(ceoOf, arg2 supremo arg1 0.00317460202801809)	0.00317460202801809
uncoupled_cpl	extractionPatterns(ceoOf, arg2 tycoon arg1 0.0012913217148275758)	0.0012913217148275758
uncoupled_cpl	extractionPatterns(ceoOf, arg2 was founded in DDDD by arg1 3.550716350401487E-4)	3.550716350401487E-4
uncoupled_cpl	extractionPatterns(ceoOf, arg2 was started by arg1 4.254777481849084E-5)	4.254777481849084E-5
uncoupled_cpl	extractionPatterns(ceo, oneness of _ 0.12564962493437193)	0.12564962493437193
uncoupled_cpl	extractionPatterns(ceo, open letter from _ 0.0011936027793184745)	0.0011936027793184745
uncoupled_cpl	extractionPatterns(ceo, parents of _ 0.14019583673612263)	0.14019583673612263
uncoupled_cpl	extractionPatterns(ceo, peace of _ 0.7827898576863618)	0.7827898576863618
uncoupled_cpl	extractionPatterns(ceo, person of _ 0.17518477586556358)	0.17518477586556358
uncoupled_cpl	extractionPatterns(ceo, prophecy of _ 0.12356449901663398)	0.12356449901663398
uncoupled_cpl	extractionPatterns(ceo, resurrection of _ 0.35157050662803413)	0.35157050662803413
uncoupled_cpl	extractionPatterns(ceo, sacrifice of _ 0.1542406860795395)	0.1542406860795395
uncoupled_cpl	extractionPatterns(ceo, second coming of _ 0.4528528684339747)	0.4528528684339747
uncoupled_cpl	extractionPatterns(ceo, seed of _ 0.1649389291432147)	0.1649389291432147
uncoupled_cpl	extractionPatterns(ceo, servant of _ 0.130798932670997)	0.130798932670997
uncoupled_cpl	extractionPatterns(ceo, servants of _ 0.1397809114990082)	0.1397809114990082
uncoupled_cpl	extractionPatterns(ceo, son named _ 0.10750359393712498)	0.10750359393712498
uncoupled_cpl	extractionPatterns(ceo, speech by _ 0.0033488375277757505)	0.0033488375277757505
uncoupled_cpl	extractionPatterns(ceo, throne of _ 0.15777031596831087)	0.15777031596831087
uncoupled_cpl	extractionPatterns(ceo, truths of _ 0.12702326758164878)	0.12702326758164878
uncoupled_cpl	extractionPatterns(ceo, union with _ 0.16702345956402243)	0.16702345956402243
uncoupled_cpl	extractionPatterns(ceo, walk with _ 0.16643607120809947)	0.16643607120809947
uncoupled_cpl	extractionPatterns(city, airport in _ 0.37304620239443387)	0.37304620239443387
uncoupled_cpl	extractionPatterns(city, arrival in _ 0.3914795499644491)	0.3914795499644491
uncoupled_cpl	extractionPatterns(city, band from _ 0.35832209154971795)	0.35832209154971795
uncoupled_cpl	extractionPatterns(city, _ based company 0.38429338295334575)	0.38429338295334575
uncoupled_cpl	extractionPatterns(city, bishop of _ 0.36942039558658624)	0.36942039558658624
uncoupled_cpl	extractionPatterns(city, city like _ 0.3119847408190256)	0.3119847408190256
uncoupled_cpl	extractionPatterns(city, city of _ 0.3761835837859279)	0.3761835837859279
uncoupled_cpl	extractionPatterns(city, college in _ 0.3835738915277207)	0.3835738915277207
uncoupled_cpl	extractionPatterns(city, company based in _ 0.28605762569909027)	0.28605762569909027
uncoupled_cpl	extractionPatterns(city, concert in _ 0.3823354172548275)	0.3823354172548275
uncoupled_cpl	extractionPatterns(city, conference in _ 0.3090951873022682)	0.3090951873022682
uncoupled_cpl	extractionPatterns(city, convention in _ 0.22585524359356185)	0.22585524359356185
uncoupled_cpl	extractionPatterns(city, exhibition in _ 0.38575377563874536)	0.38575377563874536
uncoupled_cpl	extractionPatterns(city, exile in _ 0.439216421462157)	0.439216421462157
uncoupled_cpl	extractionPatterns(city, factory in _ 0.3851243537859428)	0.3851243537859428
uncoupled_cpl	extractionPatterns(city, festival in _ 0.376331452988751)	0.376331452988751
uncoupled_cpl	extractionPatterns(city, festivals in _ 0.39013439369545644)	0.39013439369545644
uncoupled_cpl	extractionPatterns(city, firm in _ 0.3819009489274585)	0.3819009489274585
uncoupled_cpl	extractionPatterns(city, flight from _ 0.3002784704608538)	0.3002784704608538
uncoupled_cpl	extractionPatterns(city, flights from _ 0.33928188430385775)	0.33928188430385775
uncoupled_cpl	extractionPatterns(city, groups near _ 0.3794539626672103)	0.3794539626672103
uncoupled_cpl	extractionPatterns(city, headquarters in _ 0.21199639694436473)	0.21199639694436473
uncoupled_cpl	extractionPatterns(city, hometown of _ 0.3377781364703005)	0.3377781364703005
uncoupled_cpl	extractionPatterns(city, hospital in _ 0.38235568156894156)	0.38235568156894156
uncoupled_cpl	extractionPatterns(city, hospitals in _ 0.37594703871295093)	0.37594703871295093
uncoupled_cpl	extractionPatterns(city, immigrants in _ 0.39578782768022713)	0.39578782768022713
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and distributed throughout arg2 0.008905849241243886)	0.008905849241243886
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and in other parts of arg2 0.11382114114309129)	0.11382114114309129
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and mainland arg2 0.1991083758974535)	0.1991083758974535
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and Mainland arg2 0.3002754676911631)	0.3002754676911631
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and other cities in arg2 0.011661808583627437)	0.011661808583627437
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and other cities of arg2 0.01311953418878572)	0.01311953418878572
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and other major cities in arg2 0.017492710984336187)	0.017492710984336187
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and other parts of arg2 0.008097167255611694)	0.008097167255611694
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and the northeastern arg2 0.1285140554107606)	0.1285140554107606
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and the south of arg2 0.11151078124233937)	0.11151078124233937
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and the South of arg2 0.17021277617535738)	0.17021277617535738
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and the West of arg2 0.1515150983382487)	0.1515150983382487
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 and tourist resorts in arg2 0.14107889585782415)	0.14107889585782415
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 area and throughout arg2 0.13065330379034845)	0.13065330379034845
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 as the capital of arg2 0.12022900257549456)	0.12022900257549456
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 became the capital of arg2 0.12733447412333768)	0.12733447412333768
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 has been the capital of arg2 0.12021854310726393)	0.12021854310726393
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 is the biggest city in arg2 0.12432427573206908)	0.12432427573206908
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 is the capital city of arg2 0.010178119600502822)	0.010178119600502822
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 is the Capital of arg2 0.10928960429370896)	0.10928960429370896
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 is the capital of arg2 0.15226893687428966)	0.15226893687428966
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 is the capitol of arg2 0.12568305218023104)	0.12568305218023104
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 is the largest city in arg2 0.04081633132859952)	0.04081633132859952
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 is the only city in arg2 0.13131319600758856)	0.13131319600758856
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 law and controlling arg2 0.14937759261926814)	0.14937759261926814
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 on the Map of arg2 0.20912544327753535)	0.20912544327753535
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 Opera House in arg2 0.05010437246244659)	0.05010437246244659
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 or another part of arg2 0.1787233856432061)	0.1787233856432061
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 or mainland arg2 0.14227649026628925)	0.14227649026628925
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg1 the capital of arg2 0.05169868153589502)	0.05169868153589502
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 and its capital arg1 0.1105528048746603)	0.1105528048746603
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 and now lives in arg1 0.006779662208677222)	0.006779662208677222
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 and settled in arg1 0.008471920962395333)	0.008471920962395333
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 Botanical Garden in arg1 0.21991701683295548)	0.21991701683295548
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 Capitol in arg1 0.14740372915321734)	0.14740372915321734
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 capitol in arg1 0.20849421164982326)	0.20849421164982326
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 Department of Justice in arg1 0.13567838635901724)	0.13567838635901724
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 Health Science Center at arg1 0.6749072533463774)	0.6749072533463774
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 Health Science Center in arg1 0.12167301954409689)	0.12167301954409689
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 Health Sciences Center at arg1 0.12121214549655876)	0.12121214549655876
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 Health Sciences Center in arg1 0.29999994129778657)	0.29999994129778657
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 Holocaust Memorial Museum in arg1 0.492462481976332)	0.492462481976332
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 Holocaust Museum in arg1 0.10928960429370896)	0.10928960429370896
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 House of Representatives in arg1 0.1405405808836702)	0.1405405808836702
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 in DDDD and settled in arg1 0.017492710984336187)	0.017492710984336187
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 Medical School at arg1 0.47385637951673626)	0.47385637951673626
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 Naval Observatory in arg1 0.16756750399130144)	0.16756750399130144
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 State Capitol in arg1 0.12121214549655876)	0.12121214549655876
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 State Fair in arg1 0.13461532666698936)	0.13461532666698936
uncoupled_cpl	extractionPatterns(cityLocatedInCountry, arg2 State Museum in arg1 0.24623103921650707)	0.24623103921650707
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg1 and all of Southern arg2 0.12686572947919095)	0.12686572947919095
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg1 and the Commonwealth of arg2 0.024518385850386383)	0.024518385850386383
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg1 Bay area in arg2 0.17708330631247643)	0.17708330631247643
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg1 Bay area of arg2 0.24458215848205547)	0.24458215848205547
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg1 Bay Area of arg2 0.5700934410056478)	0.5700934410056478
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg1 campuses of the University of arg2 0.15384618106178571)	0.15384618106178571
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg1 campus of the University of arg2 0.02439024552937341)	0.02439024552937341
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg1 County in the State of arg2 0.14179101936496458)	0.14179101936496458
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 Academy of Fine Arts in arg1 0.17708330631247643)	0.17708330631247643
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 chocolate fountain rentals in arg1 0.18103443811243458)	0.18103443811243458
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 chocolate fountain rentals including arg1 0.17094011303313206)	0.17094011303313206
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 College of Art in arg1 0.09165305242625696)	0.09165305242625696
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 College of Arts in arg1 0.03422054788431498)	0.03422054788431498
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 College of Optometry in arg1 0.10546870554231916)	0.10546870554231916
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 Eye and Ear Infirmary in arg1 0.08984377053382851)	0.08984377053382851
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 General Hospital in arg1 0.2775955724123271)	0.2775955724123271
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 Health Science Center at arg1 0.38195289098849267)	0.38195289098849267
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 Historical Society in arg1 0.038596487656747815)	0.038596487656747815
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 History Center in arg1 0.16800005032925908)	0.16800005032925908
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 Hospitals and Clinics in arg1 0.20833331623205179)	0.20833331623205179
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 Hotels Planning your trip to arg1 0.15384618106178571)	0.15384618106178571
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 including cities such as arg1 0.13432836385810043)	0.13432836385810043
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 Institute of Technology in arg1 0.03679740325572912)	0.03679740325572912
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 International University in arg1 0.42535209254009687)	0.42535209254009687
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 Medical Center at arg1 0.030855538955444007)	0.030855538955444007
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 Museum of Contemporary Art in arg1 0.17948726870567172)	0.17948726870567172
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 Museum of History in arg1 0.18750008129470605)	0.18750008129470605
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 School of Design in arg1 0.13702621789045766)	0.13702621789045766
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 School of Fine Arts in arg1 0.1851851765870796)	0.1851851765870796
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 School of Medicine in arg1 0.03404922524827849)	0.03404922524827849
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 School of Professional Psychology in arg1 0.16666674487136082)	0.16666674487136082
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 singles go here for arg1 0.027667993587770164)	0.027667993587770164
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 Singles in arg1 0.03422054788431498)	0.03422054788431498
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 State Archives in arg1 0.17073169325714596)	0.17073169325714596
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 State Capitol building in arg1 0.16483521517824504)	0.16483521517824504
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 State Capitol in arg1 0.23437497240409422)	0.23437497240409422
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 State College at arg1 0.22222231039474505)	0.22222231039474505
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 State Fairgrounds in arg1 0.1724137788883409)	0.1724137788883409
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 State Fair in arg1 0.14615391503458314)	0.14615391503458314
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 State Historical Society in arg1 0.1851851765870796)	0.1851851765870796
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 State House in arg1 0.04296875737692685)	0.04296875737692685
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 State Library in arg1 0.2287581378863144)	0.2287581378863144
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 State Museum in arg1 0.22077923795528578)	0.22077923795528578
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 State Penitentiary in arg1 0.19834705095844682)	0.19834705095844682
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 State University at arg1 0.22376542179027267)	0.22376542179027267
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 State University campus in arg1 0.18181819858880538)	0.18181819858880538
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 State University in arg1 0.2264389288991425)	0.2264389288991425
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 State University is located in arg1 0.2312925313845416)	0.2312925313845416
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 Superior Court in arg1 0.02846975452395496)	0.02846975452395496
uncoupled_cpl	extractionPatterns(cityLocatedInState, arg2 The table below shows arg1 0.1677853156170091)	0.1677853156170091
uncoupled_cpl	extractionPatterns(city, mayor of _ 0.323204832630865)	0.323204832630865
uncoupled_cpl	extractionPatterns(city, meeting in _ 0.3791236021586141)	0.3791236021586141
uncoupled_cpl	extractionPatterns(city, museums in _ 0.38074706336533903)	0.38074706336533903
uncoupled_cpl	extractionPatterns(city, office in _ 0.38260620657835304)	0.38260620657835304
uncoupled_cpl	extractionPatterns(city, offices in _ 0.352422689976286)	0.352422689976286
uncoupled_cpl	extractionPatterns(city, outskirts of _ 0.38637340757025496)	0.38637340757025496
uncoupled_cpl	extractionPatterns(city, place in _ 0.9447319901686244)	0.9447319901686244
uncoupled_cpl	extractionPatterns(city, prison in _ 0.3849172126095787)	0.3849172126095787
uncoupled_cpl	extractionPatterns(city, private practice in _ 0.3824122743975798)	0.3824122743975798
uncoupled_cpl	extractionPatterns(city, rally in _ 0.3879646700798461)	0.3879646700798461
uncoupled_cpl	extractionPatterns(city, show in _ 0.36352471230009903)	0.36352471230009903
uncoupled_cpl	extractionPatterns(city, siege of _ 0.3622114940679616)	0.3622114940679616
uncoupled_cpl	extractionPatterns(city, streets of _ 0.3109615524524484)	0.3109615524524484
uncoupled_cpl	extractionPatterns(city, studio in _ 0.37050586663458807)	0.37050586663458807
uncoupled_cpl	extractionPatterns(city, studios in _ 0.37601095514227467)	0.37601095514227467
uncoupled_cpl	extractionPatterns(city, suburb of _ 0.232954295805177)	0.232954295805177
uncoupled_cpl	extractionPatterns(city, suburbs of _ 0.3446361693525528)	0.3446361693525528
uncoupled_cpl	extractionPatterns(city, summit in _ 0.3798852673034506)	0.3798852673034506
uncoupled_cpl	extractionPatterns(city, talks in _ 0.36433299795507534)	0.36433299795507534
uncoupled_cpl	extractionPatterns(city, tournament in _ 0.38919296670202647)	0.38919296670202647
uncoupled_cpl	extractionPatterns(city, train from _ 0.311154719548697)	0.311154719548697
uncoupled_cpl	extractionPatterns(city, trip from _ 0.3803436853063127)	0.3803436853063127
uncoupled_cpl	extractionPatterns(city, university in _ 0.37815995934672675)	0.37815995934672675
uncoupled_cpl	extractionPatterns(city, venues in _ 0.3634778206367896)	0.3634778206367896
uncoupled_cpl	extractionPatterns(clothing, basket of _ 0.12752957251292915)	0.12752957251292915
uncoupled_cpl	extractionPatterns(clothing, broad array of _ 0.12542177769903043)	0.12542177769903043
uncoupled_cpl	extractionPatterns(clothing, broader range of _ 0.13430821611464025)	0.13430821611464025
uncoupled_cpl	extractionPatterns(clothing, broad range of _ 0.13914231788113746)	0.13914231788113746
uncoupled_cpl	extractionPatterns(clothing, broad spectrum of _ 0.14070750160102602)	0.14070750160102602
uncoupled_cpl	extractionPatterns(clothing, bunch of new _ 0.12688387257570694)	0.12688387257570694
uncoupled_cpl	extractionPatterns(clothing, button down _ 0.36999270120922134)	0.36999270120922134
uncoupled_cpl	extractionPatterns(clothing, button up _ 0.27835054677808885)	0.27835054677808885
uncoupled_cpl	extractionPatterns(clothing, calendar of _ 0.5409626723612054)	0.5409626723612054
uncoupled_cpl	extractionPatterns(clothing, children with _ 0.13130426701384926)	0.13130426701384926
uncoupled_cpl	extractionPatterns(clothing, circle of _ 0.1831765201639297)	0.1831765201639297
uncoupled_cpl	extractionPatterns(clothing, clash of _ 0.16915107981567584)	0.16915107981567584
uncoupled_cpl	extractionPatterns(clothing, comprehensive range of _ 0.11693290151713012)	0.11693290151713012
uncoupled_cpl	extractionPatterns(clothing, difference between _ 0.5770150093927345)	0.5770150093927345
uncoupled_cpl	extractionPatterns(clothing, diverse range of _ 0.14390110301050782)	0.14390110301050782
uncoupled_cpl	extractionPatterns(clothing, extra pair of _ 0.15493493877828823)	0.15493493877828823
uncoupled_cpl	extractionPatterns(clothing, favorite pair of _ 0.32881072424996594)	0.32881072424996594
uncoupled_cpl	extractionPatterns(clothing, first pair of _ 0.1912776962054316)	0.1912776962054316
uncoupled_cpl	extractionPatterns(clothing, good pair of _ 0.2394796103483926)	0.2394796103483926
uncoupled_cpl	extractionPatterns(clothing, health related _ 0.13915734606297583)	0.13915734606297583
uncoupled_cpl	extractionPatterns(clothing, huge range of _ 0.1549739873027678)	0.1549739873027678
uncoupled_cpl	extractionPatterns(clothing, individuals with _ 0.23469346982742262)	0.23469346982742262
uncoupled_cpl	extractionPatterns(clothing, information on specific _ 0.1469477790317079)	0.1469477790317079
uncoupled_cpl	extractionPatterns(clothing, large range of _ 0.14135596436682457)	0.14135596436682457
uncoupled_cpl	extractionPatterns(clothing, myriad of _ 0.14844630034141013)	0.14844630034141013
uncoupled_cpl	extractionPatterns(clothing, new pair of _ 0.30996062676653036)	0.30996062676653036
uncoupled_cpl	extractionPatterns(clothing, old pair of _ 0.3064646085286785)	0.3064646085286785
uncoupled_cpl	extractionPatterns(clothing, pair of black _ 0.28013686266562204)	0.28013686266562204
uncoupled_cpl	extractionPatterns(clothing, pairs of _ 0.15237495294366665)	0.15237495294366665
uncoupled_cpl	extractionPatterns(clothing, palette of _ 0.19751099999790733)	0.19751099999790733
uncoupled_cpl	extractionPatterns(clothing, people from different _ 0.18889801740566997)	0.18889801740566997
uncoupled_cpl	extractionPatterns(clothing, persons with _ 0.5130766652732809)	0.5130766652732809
uncoupled_cpl	extractionPatterns(clothing, rainbow of _ 0.3986529659804411)	0.3986529659804411
uncoupled_cpl	extractionPatterns(clothing, range of different _ 0.12640996036726934)	0.12640996036726934
uncoupled_cpl	extractionPatterns(clothing, range of other _ 0.14946261265537492)	0.14946261265537492
uncoupled_cpl	extractionPatterns(clothing, _ ranging from 0.13815334708524188)	0.13815334708524188
uncoupled_cpl	extractionPatterns(clothing, selection of _ 0.7461340524114948)	0.7461340524114948
uncoupled_cpl	extractionPatterns(clothing, students with _ 0.15592689552469108)	0.15592689552469108
uncoupled_cpl	extractionPatterns(clothing, suit of _ 0.3420231001165842)	0.3420231001165842
uncoupled_cpl	extractionPatterns(clothing, _ taking place 0.12187943019583292)	0.12187943019583292
uncoupled_cpl	extractionPatterns(clothing, variety of _ 0.5670101920608385)	0.5670101920608385
uncoupled_cpl	extractionPatterns(clothing, vast array of _ 0.1407115821777405)	0.1407115821777405
uncoupled_cpl	extractionPatterns(clothing, vast range of _ 0.14974551385468846)	0.14974551385468846
uncoupled_cpl	extractionPatterns(clothing, whole range of _ 0.14420245922670172)	0.14420245922670172
uncoupled_cpl	extractionPatterns(clothing, wide array of _ 0.14163371865151625)	0.14163371865151625
uncoupled_cpl	extractionPatterns(clothing, wide range of _ 0.13664567736536157)	0.13664567736536157
uncoupled_cpl	extractionPatterns(clothing, wider range of _ 0.15393974798133245)	0.15393974798133245
uncoupled_cpl	extractionPatterns(clothing, wide spectrum of _ 0.1493035197049303)	0.1493035197049303
uncoupled_cpl	extractionPatterns(clothing, women with _ 0.15555623077935535)	0.15555623077935535
uncoupled_cpl	extractionPatterns(clothing, _ worn by 0.14694954241563654)	0.14694954241563654
uncoupled_cpl	extractionPatterns(coach, _ asked as 0.07542579150935216)	0.07542579150935216
uncoupled_cpl	extractionPatterns(coach, _ asked with 0.07822413870268374)	0.07822413870268374
uncoupled_cpl	extractionPatterns(coach, assistant under _ 0.008625649625521464)	0.008625649625521464
uncoupled_cpl	extractionPatterns(coach, _ became head coach 0.004874084436830824)	0.004874084436830824
uncoupled_cpl	extractionPatterns(coach, _ brings a wealth 0.06843636113907545)	0.06843636113907545
uncoupled_cpl	extractionPatterns(coach, cat named _ 0.10017967051379793)	0.10017967051379793
uncoupled_cpl	extractionPatterns(coach, coach like _ 0.008177571950473346)	0.008177571950473346
uncoupled_cpl	extractionPatterns(coach, coach since _ 0.005686433663610058)	0.005686433663610058
uncoupled_cpl	extractionPatterns(coach, coach than _ 0.006498778778259653)	0.006498778778259653
uncoupled_cpl	extractionPatterns(coach, coach under _ 0.011682246298454869)	0.011682246298454869
uncoupled_cpl	extractionPatterns(coach, daughter named _ 0.03525506754198619)	0.03525506754198619
uncoupled_cpl	extractionPatterns(coach, descendants of _ 0.04954995135213813)	0.04954995135213813
uncoupled_cpl	extractionPatterns(coach, dog named _ 0.09915847015299141)	0.09915847015299141
uncoupled_cpl	extractionPatterns(coach, _ earned a Bachelor 0.015161726803660075)	0.015161726803660075
uncoupled_cpl	extractionPatterns(coach, _ enjoys spending time 0.038827559038039375)	0.038827559038039375
uncoupled_cpl	extractionPatterns(coachesTeam, arg1 as the head coach of arg2 0.00451467083289063)	0.00451467083289063
uncoupled_cpl	extractionPatterns(coachesTeam, arg1 at the helm arg2 0.00451467083289063)	0.00451467083289063
uncoupled_cpl	extractionPatterns(coachesTeam, arg1 bolting arg2 0.00451467083289063)	0.00451467083289063
uncoupled_cpl	extractionPatterns(coachesTeam, arg1 departure from arg2 0.003384094202525097)	0.003384094202525097
uncoupled_cpl	extractionPatterns(coachesTeam, arg1 era at arg2 0.03424656538610542)	0.03424656538610542
uncoupled_cpl	extractionPatterns(coachesTeam, arg1 has coached arg2 0.003384094202525097)	0.003384094202525097
uncoupled_cpl	extractionPatterns(coachesTeam, arg1 is still coaching arg2 0.00451467083289063)	0.00451467083289063
uncoupled_cpl	extractionPatterns(coachesTeam, arg1 is the head coach of arg2 0.02083333356058106)	0.02083333356058106
uncoupled_cpl	extractionPatterns(coachesTeam, arg1 left the University of arg2 0.003384094202525097)	0.003384094202525097
uncoupled_cpl	extractionPatterns(coachesTeam, arg1 was hired at arg2 0.011627910421552923)	0.011627910421552923
uncoupled_cpl	extractionPatterns(coachesTeam, arg1 was named head coach of arg2 0.003384094202525097)	0.003384094202525097
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 after coach arg1 0.04166665959783167)	0.04166665959783167
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 and coach arg1 0.004278379339898654)	0.004278379339898654
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 and former coach arg1 0.02083333356058106)	0.02083333356058106
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 and head coach arg1 0.027972035500421058)	0.027972035500421058
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 and new coach arg1 0.020547952048772924)	0.020547952048772924
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 basketball coach arg1 0.06047198977976489)	0.06047198977976489
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 coach arg1 0.003705007484974853)	0.003705007484974853
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 counterpart arg1 0.005102039077707019)	0.005102039077707019
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 defense under arg1 0.011627910421552923)	0.011627910421552923
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 fired coach arg1 0.011627910421552923)	0.011627910421552923
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 football coach arg1 0.06913342126095245)	0.06913342126095245
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 football head coach arg1 0.011627910421552923)	0.011627910421552923
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 football is arg1 0.007999997898418687)	0.007999997898418687
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 head basketball coach arg1 0.03424656538610542)	0.03424656538610542
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 head coach arg1 0.005113219673946176)	0.005113219673946176
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 head football coach arg1 0.12738847538782505)	0.12738847538782505
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 head man arg1 0.027397267413383004)	0.027397267413383004
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 is coached by arg1 0.008021386433795802)	0.008021386433795802
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 signed coach arg1 0.008021386433795802)	0.008021386433795802
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 under coach arg1 0.010438410072827399)	0.010438410072827399
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 under head coach arg1 0.018475754019818404)	0.018475754019818404
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 University basketball coach arg1 0.02083333356058106)	0.02083333356058106
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 University coach arg1 0.02083333356058106)	0.02083333356058106
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 University football coach arg1 0.027397267413383004)	0.027397267413383004
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 University head coach arg1 0.03424656538610542)	0.03424656538610542
uncoupled_cpl	extractionPatterns(coachesTeam, arg2 with coach arg1 0.006681511797823331)	0.006681511797823331
uncoupled_cpl	extractionPatterns(coach, friend named _ 0.06781329580113095)	0.06781329580113095
uncoupled_cpl	extractionPatterns(coach, _ frowned at 0.08543486553241297)	0.08543486553241297
uncoupled_cpl	extractionPatterns(coach, girl called _ 0.1041226237379205)	0.1041226237379205
uncoupled_cpl	extractionPatterns(coach, girl named _ 0.010307948317796889)	0.010307948317796889
uncoupled_cpl	extractionPatterns(coach, grandparents are _ 0.03981749063645162)	0.03981749063645162
uncoupled_cpl	extractionPatterns(coach, _ grinned at 0.07515655056863273)	0.07515655056863273
uncoupled_cpl	extractionPatterns(coach, guy named _ 0.018817951457103955)	0.018817951457103955
uncoupled_cpl	extractionPatterns(coach, _ has a B.A. 0.0688734855593366)	0.0688734855593366
uncoupled_cpl	extractionPatterns(coach, head coach is _ 0.010514016576226503)	0.010514016576226503
uncoupled_cpl	extractionPatterns(coach, hiring of _ 0.009686723910271028)	0.009686723910271028
uncoupled_cpl	extractionPatterns(coach, _ holds a B.A. 0.015498655511697133)	0.015498655511697133
uncoupled_cpl	extractionPatterns(coach, _ holds a bachelor 0.008913172858914683)	0.008913172858914683
uncoupled_cpl	extractionPatterns(coach, _ holds a Bachelor 0.0653562633730257)	0.0653562633730257
uncoupled_cpl	extractionPatterns(coach, _ is a great coach 0.009345792845438503)	0.009345792845438503
uncoupled_cpl	extractionPatterns(coach, _ is a great guy 0.04645375394908361)	0.04645375394908361
uncoupled_cpl	extractionPatterns(coach, _ is married with 0.07577680771286228)	0.07577680771286228
uncoupled_cpl	extractionPatterns(coach, _ is the coach 0.004874084436830824)	0.004874084436830824
uncoupled_cpl	extractionPatterns(coach, lady named _ 0.08058965399932111)	0.08058965399932111
uncoupled_cpl	extractionPatterns(coach, law firm of _ 0.015835579555636456)	0.015835579555636456
uncoupled_cpl	extractionPatterns(coach, middle name is _ 0.07963711706715002)	0.07963711706715002
uncoupled_cpl	extractionPatterns(coach, More quotes added by _ 0.0704751580038558)	0.0704751580038558
uncoupled_cpl	extractionPatterns(coach, _ paid for 0.026911057967084262)	0.026911057967084262
uncoupled_cpl	extractionPatterns(coach, _ raised an eyebrow 0.07358736052442728)	0.07358736052442728
uncoupled_cpl	extractionPatterns(coach, romance between _ 0.07668554882726025)	0.07668554882726025
uncoupled_cpl	extractionPatterns(coach, season under _ 0.005686433663610058)	0.005686433663610058
uncoupled_cpl	extractionPatterns(coach, sense of _ 0.012751950993320075)	0.012751950993320075
uncoupled_cpl	extractionPatterns(coach, sister named _ 0.0928991298248572)	0.0928991298248572
uncoupled_cpl	extractionPatterns(coach, _ smiled as 0.07549121402715413)	0.07549121402715413
uncoupled_cpl	extractionPatterns(coach, someone named _ 0.07716702889741558)	0.07716702889741558
uncoupled_cpl	extractionPatterns(coach, time of _ 0.22357284267931543)	0.22357284267931543
uncoupled_cpl	extractionPatterns(coach, _ walks into 0.06475068495518409)	0.06475068495518409
uncoupled_cpl	extractionPatterns(coach, _ was the coach 0.009345792845438503)	0.009345792845438503
uncoupled_cpl	extractionPatterns(coach, woman called _ 0.07308464419683987)	0.07308464419683987
uncoupled_cpl	extractionPatterns(coach, woman named _ 0.10355721676907281)	0.10355721676907281
uncoupled_cpl	extractionPatterns(coach, works of _ 0.31188804053868957)	0.31188804053868957
uncoupled_cpl	extractionPatterns(company, alliance with _ 0.10013309779600511)	0.10013309779600511
uncoupled_cpl	extractionPatterns(company, boycott of _ 0.0920531639328197)	0.0920531639328197
uncoupled_cpl	extractionPatterns(company, brands including _ 0.11127574154799724)	0.11127574154799724
uncoupled_cpl	extractionPatterns(company, brands like _ 0.09431556921013898)	0.09431556921013898
uncoupled_cpl	extractionPatterns(company, career at _ 0.09851494661810578)	0.09851494661810578
uncoupled_cpl	extractionPatterns(company, centers in _ 0.19269551082865305)	0.19269551082865305
uncoupled_cpl	extractionPatterns(company, children of _ 0.10211731291184954)	0.10211731291184954
uncoupled_cpl	extractionPatterns(company, citizen of _ 0.22196867736829728)	0.22196867736829728
uncoupled_cpl	extractionPatterns(company, city in _ 0.2113002861764884)	0.2113002861764884
uncoupled_cpl	extractionPatterns(company, clients include _ 0.12517907085309343)	0.12517907085309343
uncoupled_cpl	extractionPatterns(company, clients such as _ 0.10982654734853664)	0.10982654734853664
uncoupled_cpl	extractionPatterns(company, companies including _ 0.14139187334202052)	0.14139187334202052
uncoupled_cpl	extractionPatterns(company, company like _ 0.11986957527294866)	0.11986957527294866
uncoupled_cpl	extractionPatterns(company, country of _ 0.30283535621043556)	0.30283535621043556
uncoupled_cpl	extractionPatterns(company, crisis in _ 0.22349125348267168)	0.22349125348267168
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg1 mainframe arg2 0.04614092401980575)	0.04614092401980575
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg1 or Yahoo arg2 0.049122799681219805)	0.049122799681219805
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg1 Windows operating arg2 0.42044777696195)	0.42044777696195
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 behemoth arg1 0.046138432477180934)	0.046138432477180934
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 chains such as arg1 0.043147189363225404)	0.043147189363225404
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 companies from arg1 7.797267657271065E-4)	7.797267657271065E-4
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 companies including arg1 0.042731069516493254)	0.042731069516493254
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 companies like arg1 0.0014786644459507314)	0.0014786644459507314
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 companies such as arg1 0.0011074192175161515)	0.0011074192175161515
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 company called arg1 3.557451337270095E-4)	3.557451337270095E-4
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 company like arg1 0.04982616656056558)	0.04982616656056558
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 conglomerate arg1 0.04857141936360984)	0.04857141936360984
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 developer at arg1 0.03949042663976917)	0.03949042663976917
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 engine like arg1 0.4461393195805827)	0.4461393195805827
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 engines including arg1 0.2998679703593511)	0.2998679703593511
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 engines like arg1 0.3732779360319681)	0.3732779360319681
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 engines such as arg1 0.42576318118533873)	0.42576318118533873
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 firms like arg1 0.0420382231317529)	0.0420382231317529
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 firms such as arg1 0.041825084993055706)	0.041825084993055706
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 giant arg1 0.0014739299648707641)	0.0014739299648707641
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 giants arg1 3.557451337270095E-4)	3.557451337270095E-4
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 giants like arg1 3.557451337270095E-4)	3.557451337270095E-4
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 giants such as arg1 0.05333332012887736)	0.05333332012887736
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 leaders like arg1 0.05250599108450233)	0.05250599108450233
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 leaders such as arg1 0.053637008074747604)	0.053637008074747604
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 makers like arg1 0.04413240319550432)	0.04413240319550432
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 makers such as arg1 0.05214369531760229)	0.05214369531760229
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 manufacturers like arg1 3.557451337270095E-4)	3.557451337270095E-4
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 manufacturers such as arg1 0.0015594548093334237)	0.0015594548093334237
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 on Google or arg1 0.0420382231317529)	0.0420382231317529
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 outlets including arg1 0.05151913432629762)	0.05151913432629762
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 outlets like arg1 0.05975610007955608)	0.05975610007955608
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 outlets such as arg1 0.06340820560293288)	0.06340820560293288
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 partners such as arg1 0.03949042663976917)	0.03949042663976917
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 publisher arg1 3.5329434851679006E-4)	3.5329434851679006E-4
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 rankings in arg1 0.04568528610464988)	0.04568528610464988
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 rankings on arg1 0.05413106735524116)	0.05413106735524116
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 search engines such as arg1 0.0498575669355783)	0.0498575669355783
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 sharing site arg1 0.05840457810567516)	0.05840457810567516
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 sharing sites like arg1 0.05853660464490511)	0.05853660464490511
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 sharing sites such as arg1 0.059829047010233005)	0.059829047010233005
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 site like arg1 0.0527210749078553)	0.0527210749078553
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 sites like arg1 0.04832607543109138)	0.04832607543109138
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 sites like MySpace and arg1 0.048667442708693644)	0.048667442708693644
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 sites such as arg1 0.05590575234004799)	0.05590575234004799
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 sites such as MySpace and arg1 0.05853660464490511)	0.05853660464490511
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 site such as arg1 0.05076140282964514)	0.05076140282964514
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 vendors like arg1 0.05853660464490511)	0.05853660464490511
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 vendors such as arg1 0.04814442169968994)	0.04814442169968994
uncoupled_cpl	extractionPatterns(companyEconomicSector, arg2 websites such as arg1 0.0555555421053441)	0.0555555421053441
uncoupled_cpl	extractionPatterns(company, education in _ 0.10408837302926122)	0.10408837302926122
uncoupled_cpl	extractionPatterns(company, engineer at _ 0.11135533215345479)	0.11135533215345479
uncoupled_cpl	extractionPatterns(company, flag of _ 0.20221637328130684)	0.20221637328130684
uncoupled_cpl	extractionPatterns(company, folks at _ 0.10031470345424832)	0.10031470345424832
uncoupled_cpl	extractionPatterns(company, giants like _ 0.10714288087576275)	0.10714288087576275
uncoupled_cpl	extractionPatterns(company, heads of _ 0.15856954693137668)	0.15856954693137668
uncoupled_cpl	extractionPatterns(company, hospitals in _ 0.2294043756831386)	0.2294043756831386
uncoupled_cpl	extractionPatterns(company, industry in _ 0.18866694767588865)	0.18866694767588865
uncoupled_cpl	extractionPatterns(company, institutions in _ 0.22496352523176968)	0.22496352523176968
uncoupled_cpl	extractionPatterns(company, kind in _ 0.20398129102609444)	0.20398129102609444
uncoupled_cpl	extractionPatterns(company, lawsuit against _ 0.11891408754593068)	0.11891408754593068
uncoupled_cpl	extractionPatterns(company, manufacturers such as _ 0.1063583740453427)	0.1063583740453427
uncoupled_cpl	extractionPatterns(company, markets in _ 0.1953190311739273)	0.1953190311739273
uncoupled_cpl	extractionPatterns(company, minister of _ 0.23925388752087423)	0.23925388752087423
uncoupled_cpl	extractionPatterns(company, move by _ 0.11290539763263772)	0.11290539763263772
uncoupled_cpl	extractionPatterns(company, places like _ 0.10591970202558021)	0.10591970202558021
uncoupled_cpl	extractionPatterns(company, positions at _ 0.1044144712117651)	0.1044144712117651
uncoupled_cpl	extractionPatterns(company, poverty in _ 0.24298975427690972)	0.24298975427690972
uncoupled_cpl	extractionPatterns(company, regime in _ 0.21581429207816807)	0.21581429207816807
uncoupled_cpl	extractionPatterns(company, regions in _ 0.19491533386730311)	0.19491533386730311
uncoupled_cpl	extractionPatterns(company, search on _ 0.09766002151924888)	0.09766002151924888
uncoupled_cpl	extractionPatterns(company, sector in _ 0.20267774993501878)	0.20267774993501878
uncoupled_cpl	extractionPatterns(company, services like _ 0.1037050984058555)	0.1037050984058555
uncoupled_cpl	extractionPatterns(company, sites like _ 0.104885185345739)	0.104885185345739
uncoupled_cpl	extractionPatterns(company, sites such as _ 0.10019439800780776)	0.10019439800780776
uncoupled_cpl	extractionPatterns(company, subsidiary of _ 0.0933816892071245)	0.0933816892071245
uncoupled_cpl	extractionPatterns(company, technology from _ 0.12318019446728216)	0.12318019446728216
uncoupled_cpl	extractionPatterns(company, towns in _ 0.20993107844800873)	0.20993107844800873
uncoupled_cpl	extractionPatterns(company, travel in _ 0.21183576456284461)	0.21183576456284461
uncoupled_cpl	extractionPatterns(company, university in _ 0.2263445235506747)	0.2263445235506747
uncoupled_cpl	extractionPatterns(company, vacation in _ 0.2289096259105988)	0.2289096259105988
uncoupled_cpl	extractionPatterns(company, vendors such as _ 0.11227107718096788)	0.11227107718096788
uncoupled_cpl	extractionPatterns(company, version of _ 0.24759225969230064)	0.24759225969230064
uncoupled_cpl	extractionPatterns(company, war between _ 0.09611729600113957)	0.09611729600113957
uncoupled_cpl	extractionPatterns(company, world , including _ 0.12017971878830536)	0.12017971878830536
uncoupled_cpl	extractionPatterns(competesWith, arg1 Add to My arg2 0.019359635979930873)	0.019359635979930873
uncoupled_cpl	extractionPatterns(competesWith, arg1 and MSN and arg2 0.009957323185330998)	0.009957323185330998
uncoupled_cpl	extractionPatterns(competesWith, arg1 and rival arg2 0.00696517184086111)	0.00696517184086111
uncoupled_cpl	extractionPatterns(competesWith, arg1 and Yahoo and arg2 0.012552304559792083)	0.012552304559792083
uncoupled_cpl	extractionPatterns(competesWith, arg1 bid for arg2 0.03504042093503301)	0.03504042093503301
uncoupled_cpl	extractionPatterns(competesWith, arg1 buyout of arg2 0.0181818215496816)	0.0181818215496816
uncoupled_cpl	extractionPatterns(competesWith, arg1 Google and arg2 0.00912646358042246)	0.00912646358042246
uncoupled_cpl	extractionPatterns(competesWith, arg1 Instant Messenger and arg2 0.02545454414646842)	0.02545454414646842
uncoupled_cpl	extractionPatterns(competesWith, arg1 is ahead of arg2 0.007001170007256656)	0.007001170007256656
uncoupled_cpl	extractionPatterns(competesWith, arg1 is going after arg2 0.00823045483770072)	0.00823045483770072
uncoupled_cpl	extractionPatterns(competesWith, arg1 is in talks with arg2 0.008578433138923655)	0.008578433138923655
uncoupled_cpl	extractionPatterns(competesWith, arg1 is trying to buy arg2 0.021937846127253947)	0.021937846127253947
uncoupled_cpl	extractionPatterns(competesWith, arg1 Messenger and arg2 0.007299269531592174)	0.007299269531592174
uncoupled_cpl	extractionPatterns(competesWith, arg1 messenger and arg2 0.0181818215496816)	0.0181818215496816
uncoupled_cpl	extractionPatterns(competesWith, arg1 messenger or arg2 0.018018018391934933)	0.018018018391934933
uncoupled_cpl	extractionPatterns(competesWith, arg1 Messenger or arg2 0.03747871901590571)	0.03747871901590571
uncoupled_cpl	extractionPatterns(competesWith, arg1 offers to buy arg2 0.023766006918623524)	0.023766006918623524
uncoupled_cpl	extractionPatterns(competesWith, arg1 offer to buy arg2 0.016216208698545776)	0.016216208698545776
uncoupled_cpl	extractionPatterns(competesWith, arg1 or Microsoft or arg2 0.011157604450988332)	0.011157604450988332
uncoupled_cpl	extractionPatterns(competesWith, arg1 or MSN or arg2 0.018651363978316862)	0.018651363978316862
uncoupled_cpl	extractionPatterns(competesWith, arg1 or My arg2 0.019648387600261063)	0.019648387600261063
uncoupled_cpl	extractionPatterns(competesWith, arg1 or Yahoo or arg2 0.039182267273726715)	0.039182267273726715
uncoupled_cpl	extractionPatterns(competesWith, arg1 should buy arg2 0.013856816518814798)	0.013856816518814798
uncoupled_cpl	extractionPatterns(competesWith, arg1 takeover of arg2 0.0367393827436153)	0.0367393827436153
uncoupled_cpl	extractionPatterns(competesWith, arg1 wants to buy arg2 0.03945576926199469)	0.03945576926199469
uncoupled_cpl	extractionPatterns(competesWith, arg2 acquisition of arg1 0.017215571240906714)	0.017215571240906714
uncoupled_cpl	extractionPatterns(competesWith, arg2 Add to My arg1 0.02084883932818043)	0.02084883932818043
uncoupled_cpl	extractionPatterns(competesWith, arg2 and MSN and arg1 0.009957323185330998)	0.009957323185330998
uncoupled_cpl	extractionPatterns(competesWith, arg2 and rival arg1 0.008955226058122262)	0.008955226058122262
uncoupled_cpl	extractionPatterns(competesWith, arg2 and Yahoo and arg1 0.012552304559792083)	0.012552304559792083
uncoupled_cpl	extractionPatterns(competesWith, arg2 bid for arg1 0.03504042093503301)	0.03504042093503301
uncoupled_cpl	extractionPatterns(competesWith, arg2 buyout of arg1 0.018018018391934933)	0.018018018391934933
uncoupled_cpl	extractionPatterns(competesWith, arg2 Google and arg1 0.00912646358042246)	0.00912646358042246
uncoupled_cpl	extractionPatterns(competesWith, arg2 Instant Messenger and arg1 0.02545454414646842)	0.02545454414646842
uncoupled_cpl	extractionPatterns(competesWith, arg2 is ahead of arg1 0.007001170007256656)	0.007001170007256656
uncoupled_cpl	extractionPatterns(competesWith, arg2 is going after arg1 0.00823045483770072)	0.00823045483770072
uncoupled_cpl	extractionPatterns(competesWith, arg2 is in talks with arg1 0.008578433138923655)	0.008578433138923655
uncoupled_cpl	extractionPatterns(competesWith, arg2 is trying to buy arg1 0.021937846127253947)	0.021937846127253947
uncoupled_cpl	extractionPatterns(competesWith, arg2 Messenger and arg1 0.007299269531592174)	0.007299269531592174
uncoupled_cpl	extractionPatterns(competesWith, arg2 messenger and arg1 0.02162163165315766)	0.02162163165315766
uncoupled_cpl	extractionPatterns(competesWith, arg2 messenger or arg1 0.018018018391934933)	0.018018018391934933
uncoupled_cpl	extractionPatterns(competesWith, arg2 Messenger or arg1 0.03747871901590571)	0.03747871901590571
uncoupled_cpl	extractionPatterns(competesWith, arg2 offers to buy arg1 0.023766006918623524)	0.023766006918623524
uncoupled_cpl	extractionPatterns(competesWith, arg2 or Microsoft or arg1 0.011157604450988332)	0.011157604450988332
uncoupled_cpl	extractionPatterns(competesWith, arg2 or MSN or arg1 0.018651363978316862)	0.018651363978316862
uncoupled_cpl	extractionPatterns(competesWith, arg2 or My arg1 0.019648387600261063)	0.019648387600261063
uncoupled_cpl	extractionPatterns(competesWith, arg2 or Yahoo or arg1 0.039182267273726715)	0.039182267273726715
uncoupled_cpl	extractionPatterns(competesWith, arg2 should buy arg1 0.013856816518814798)	0.013856816518814798
uncoupled_cpl	extractionPatterns(competesWith, arg2 takeover of arg1 0.0367393827436153)	0.0367393827436153
uncoupled_cpl	extractionPatterns(competesWith, arg2 wants to buy arg1 0.03945576926199469)	0.03945576926199469
uncoupled_cpl	extractionPatterns(conference, adjunct professor at _ 0.2988358060713756)	0.2988358060713756
uncoupled_cpl	extractionPatterns(conference, annual meeting of _ 0.13791551382041017)	0.13791551382041017
uncoupled_cpl	extractionPatterns(conference, Arts degree from _ 0.3377230831210257)	0.3377230831210257
uncoupled_cpl	extractionPatterns(conference, associate professor at _ 0.34221605555336826)	0.34221605555336826
uncoupled_cpl	extractionPatterns(conference, BFA from _ 0.27463152194811297)	0.27463152194811297
uncoupled_cpl	extractionPatterns(conference, biology from _ 0.33754312468090686)	0.33754312468090686
uncoupled_cpl	extractionPatterns(conference, business administration from _ 0.336963049514107)	0.336963049514107
uncoupled_cpl	extractionPatterns(conference, campuses of _ 0.2727788187242418)	0.2727788187242418
uncoupled_cpl	extractionPatterns(conference, chemistry from _ 0.33824323910331067)	0.33824323910331067
uncoupled_cpl	extractionPatterns(conference, colleagues at _ 0.11141804285686377)	0.11141804285686377
uncoupled_cpl	extractionPatterns(conference, creative writing at _ 0.3489613876522554)	0.3489613876522554
uncoupled_cpl	extractionPatterns(conference, editorial board of _ 0.11153442403401011)	0.11153442403401011
uncoupled_cpl	extractionPatterns(conference, fellow of _ 0.007486049928042751)	0.007486049928042751
uncoupled_cpl	extractionPatterns(conference, graduate studies at _ 0.3178127201612717)	0.3178127201612717
uncoupled_cpl	extractionPatterns(conference, graduate work at _ 0.32442756113747684)	0.32442756113747684
uncoupled_cpl	extractionPatterns(conference, History at _ 0.3819215721355222)	0.3819215721355222
uncoupled_cpl	extractionPatterns(conference, History from _ 0.3329183547481298)	0.3329183547481298
uncoupled_cpl	extractionPatterns(conference, honors from _ 0.13995210808562042)	0.13995210808562042
uncoupled_cpl	extractionPatterns(conference, JD from _ 0.2862685278771368)	0.2862685278771368
uncoupled_cpl	extractionPatterns(conference, J.D. from _ 0.5024957986396391)	0.5024957986396391
uncoupled_cpl	extractionPatterns(conference, laude from _ 0.37511036111564633)	0.37511036111564633
uncoupled_cpl	extractionPatterns(conference, law degree from _ 0.3938331250047252)	0.3938331250047252
uncoupled_cpl	extractionPatterns(conference, law school at _ 0.36144586486788)	0.36144586486788
uncoupled_cpl	extractionPatterns(conference, lecturer at _ 0.17942087070063903)	0.17942087070063903
uncoupled_cpl	extractionPatterns(conference, M.B.A. from _ 0.38067510897026746)	0.38067510897026746
uncoupled_cpl	extractionPatterns(conference, M.D. from _ 0.39828079793974563)	0.39828079793974563
uncoupled_cpl	extractionPatterns(conference, medical degree at _ 0.29557785740619374)	0.29557785740619374
uncoupled_cpl	extractionPatterns(conference, medical degree from _ 0.41509992691050346)	0.41509992691050346
uncoupled_cpl	extractionPatterns(conference, medical school at _ 0.4385966855115998)	0.4385966855115998
uncoupled_cpl	extractionPatterns(conference, member at _ 0.08374816658826384)	0.08374816658826384
uncoupled_cpl	extractionPatterns(conference, PhD student at _ 0.32510567358816406)	0.32510567358816406
uncoupled_cpl	extractionPatterns(conference, philosophy at _ 0.2797063433250794)	0.2797063433250794
uncoupled_cpl	extractionPatterns(conference, proceedings published by _ 0.003753520798018015)	0.003753520798018015
uncoupled_cpl	extractionPatterns(conference, program at _ 0.08099563618663834)	0.08099563618663834
uncoupled_cpl	extractionPatterns(conference, psychiatry at _ 0.3357531706965501)	0.3357531706965501
uncoupled_cpl	extractionPatterns(conference, psychology at _ 0.33366159107972454)	0.33366159107972454
uncoupled_cpl	extractionPatterns(conference, research at _ 0.08135979881664424)	0.08135979881664424
uncoupled_cpl	extractionPatterns(conference, research fellow at _ 0.2833608798193217)	0.2833608798193217
uncoupled_cpl	extractionPatterns(conference, research group at _ 0.2863277915959907)	0.2863277915959907
uncoupled_cpl	extractionPatterns(conference, scholar at _ 0.2681131998906912)	0.2681131998906912
uncoupled_cpl	extractionPatterns(conference, Science degree from _ 0.3470643741357268)	0.3470643741357268
uncoupled_cpl	extractionPatterns(conference, secretary of _ 0.2890975802315156)	0.2890975802315156
uncoupled_cpl	extractionPatterns(conference, sociology at _ 0.362485067006772)	0.362485067006772
uncoupled_cpl	extractionPatterns(conference, special issue of _ 0.1017988980072944)	0.1017988980072944
uncoupled_cpl	extractionPatterns(conference, Student Chapter of _ 0.007194244123242404)	0.007194244123242404
uncoupled_cpl	extractionPatterns(conference, student chapter of _ 0.009383795127285394)	0.009383795127285394
uncoupled_cpl	extractionPatterns(conference, Studies at _ 0.379356076172743)	0.379356076172743
uncoupled_cpl	extractionPatterns(conference, study at _ 0.09935400487765905)	0.09935400487765905
uncoupled_cpl	extractionPatterns(conference, undergraduate degree at _ 0.30876648492365427)	0.30876648492365427
uncoupled_cpl	extractionPatterns(conference, version appeared in _ 0.003753520798018015)	0.003753520798018015
uncoupled_cpl	extractionPatterns(country, attacks in _ 0.345743883196294)	0.345743883196294
uncoupled_cpl	extractionPatterns(country, banks in _ 0.34033665142443426)	0.34033665142443426
uncoupled_cpl	extractionPatterns(country, bases in _ 0.34381725439124)	0.34381725439124
uncoupled_cpl	extractionPatterns(country, border with _ 0.5225069467584857)	0.5225069467584857
uncoupled_cpl	extractionPatterns(country, camps in _ 0.4083910939923686)	0.4083910939923686
uncoupled_cpl	extractionPatterns(country, capital city of _ 0.3442841311096582)	0.3442841311096582
uncoupled_cpl	extractionPatterns(country, capital of _ 0.3349871855427149)	0.3349871855427149
uncoupled_cpl	extractionPatterns(country, churches in _ 0.33588682705433826)	0.33588682705433826
uncoupled_cpl	extractionPatterns(country, cities in _ 0.4283023104109673)	0.4283023104109673
uncoupled_cpl	extractionPatterns(country, coasts of _ 0.40400824209655206)	0.40400824209655206
uncoupled_cpl	extractionPatterns(country, conflict in _ 0.3395147115270971)	0.3395147115270971
uncoupled_cpl	extractionPatterns(country, conquest of _ 0.39384494017570204)	0.39384494017570204
uncoupled_cpl	extractionPatterns(country, countries , including _ 0.3062746593617172)	0.3062746593617172
uncoupled_cpl	extractionPatterns(country, countries of _ 0.35724873611323993)	0.35724873611323993
uncoupled_cpl	extractionPatterns(country, country like _ 0.3750315962104166)	0.3750315962104166
uncoupled_cpl	extractionPatterns(country, courts of _ 0.3743915889658652)	0.3743915889658652
uncoupled_cpl	extractionPatterns(country, crisis in _ 0.34067647694728614)	0.34067647694728614
uncoupled_cpl	extractionPatterns(country, democracy in _ 0.34502272312130455)	0.34502272312130455
uncoupled_cpl	extractionPatterns(country, destinations in _ 0.417612211810515)	0.417612211810515
uncoupled_cpl	extractionPatterns(country, east coast of _ 0.5459564873014623)	0.5459564873014623
uncoupled_cpl	extractionPatterns(country, exile in _ 0.36752240360385635)	0.36752240360385635
uncoupled_cpl	extractionPatterns(country, festivals in _ 0.31070791132530107)	0.31070791132530107
uncoupled_cpl	extractionPatterns(country, forces in _ 0.32763437588970373)	0.32763437588970373
uncoupled_cpl	extractionPatterns(country, government of _ 0.3526472547460866)	0.3526472547460866
uncoupled_cpl	extractionPatterns(country, governments of _ 0.40002069328490863)	0.40002069328490863
uncoupled_cpl	extractionPatterns(country, higher education in _ 0.3585364322419442)	0.3585364322419442
uncoupled_cpl	extractionPatterns(country, holiday in _ 0.3738734155330808)	0.3738734155330808
uncoupled_cpl	extractionPatterns(country, holidays in _ 0.37133078865525293)	0.37133078865525293
uncoupled_cpl	extractionPatterns(country, immigrants from _ 0.433954755637191)	0.433954755637191
uncoupled_cpl	extractionPatterns(country, invasion of _ 0.27881884754374087)	0.27881884754374087
uncoupled_cpl	extractionPatterns(country, _ is a country 0.3513480329176964)	0.3513480329176964
uncoupled_cpl	extractionPatterns(country, kings of _ 0.3124724417794756)	0.3124724417794756
uncoupled_cpl	extractionPatterns(country, nation of _ 0.3516035558089443)	0.3516035558089443
uncoupled_cpl	extractionPatterns(country, occupation of _ 0.3522637831792829)	0.3522637831792829
uncoupled_cpl	extractionPatterns(country, operations in _ 0.3421397498813786)	0.3421397498813786
uncoupled_cpl	extractionPatterns(country, peoples of _ 0.3674500088214666)	0.3674500088214666
uncoupled_cpl	extractionPatterns(country, place in _ 0.6543034789919954)	0.6543034789919954
uncoupled_cpl	extractionPatterns(country, poverty in _ 0.347406053558583)	0.347406053558583
uncoupled_cpl	extractionPatterns(country, sector in _ 0.34121687731740696)	0.34121687731740696
uncoupled_cpl	extractionPatterns(country, situation in _ 0.34077596900368806)	0.34077596900368806
uncoupled_cpl	extractionPatterns(country, slavery in _ 0.39162638232503266)	0.39162638232503266
uncoupled_cpl	extractionPatterns(country, tours in _ 0.36507918635932646)	0.36507918635932646
uncoupled_cpl	extractionPatterns(country, trade with _ 0.3759959150048738)	0.3759959150048738
uncoupled_cpl	extractionPatterns(country, tribes of _ 0.35273542758091825)	0.35273542758091825
uncoupled_cpl	extractionPatterns(country, troops from _ 0.27991592185359093)	0.27991592185359093
uncoupled_cpl	extractionPatterns(country, troops in _ 0.3683587321545696)	0.3683587321545696
uncoupled_cpl	extractionPatterns(country, universities in _ 0.34675458399150993)	0.34675458399150993
uncoupled_cpl	extractionPatterns(country, war in _ 0.4040163223421962)	0.4040163223421962
uncoupled_cpl	extractionPatterns(country, wars in _ 0.4430826311645774)	0.4430826311645774
uncoupled_cpl	extractionPatterns(country, west coast of _ 0.6706687031025589)	0.6706687031025589
uncoupled_cpl	extractionPatterns(economicSector, abuse of _ 0.12611513744952166)	0.12611513744952166
uncoupled_cpl	extractionPatterns(economicSector, advances in _ 0.21589135153473454)	0.21589135153473454
uncoupled_cpl	extractionPatterns(economicSector, balance of _ 0.11657423483775588)	0.11657423483775588
uncoupled_cpl	extractionPatterns(economicSector, bits of _ 0.25426633457528824)	0.25426633457528824
uncoupled_cpl	extractionPatterns(economicSector, career in _ 0.17229347606124779)	0.17229347606124779
uncoupled_cpl	extractionPatterns(economicSector, careers in _ 0.13707089571958042)	0.13707089571958042
uncoupled_cpl	extractionPatterns(economicSector, degrees in _ 0.2078594809372002)	0.2078594809372002
uncoupled_cpl	extractionPatterns(economicSector, department of _ 0.21437402696736008)	0.21437402696736008
uncoupled_cpl	extractionPatterns(economicSector, departments of _ 0.21862660594718034)	0.21862660594718034
uncoupled_cpl	extractionPatterns(economicSector, ease of _ 0.47112821656737325)	0.47112821656737325
uncoupled_cpl	extractionPatterns(economicSector, exchange of _ 0.2588806847675028)	0.2588806847675028
uncoupled_cpl	extractionPatterns(economicSector, fields of _ 0.24673904470816937)	0.24673904470816937
uncoupled_cpl	extractionPatterns(economicSector, flow of _ 0.28034059621295115)	0.28034059621295115
uncoupled_cpl	extractionPatterns(economicSector, freedom of _ 0.2385612948990138)	0.2385612948990138
uncoupled_cpl	extractionPatterns(economicSector, investments in _ 0.19137355034068643)	0.19137355034068643
uncoupled_cpl	extractionPatterns(economicSector, _ is stored in 0.23879305041545493)	0.23879305041545493
uncoupled_cpl	extractionPatterns(economicSector, large amounts of _ 0.2883538232351342)	0.2883538232351342
uncoupled_cpl	extractionPatterns(economicSector, level of _ 0.02575042878928415)	0.02575042878928415
uncoupled_cpl	extractionPatterns(economicSector, line of _ 0.20844626349539297)	0.20844626349539297
uncoupled_cpl	extractionPatterns(economicSector, mechanism of _ 0.22388583997678352)	0.22388583997678352
uncoupled_cpl	extractionPatterns(economicSector, medium of _ 0.26352448318605076)	0.26352448318605076
uncoupled_cpl	extractionPatterns(economicSector, mode of _ 0.12089558981303136)	0.12089558981303136
uncoupled_cpl	extractionPatterns(economicSector, modes of _ 0.3068249160829337)	0.3068249160829337
uncoupled_cpl	extractionPatterns(economicSector, _ obtained from 0.23451001127566046)	0.23451001127566046
uncoupled_cpl	extractionPatterns(economicSector, other form of _ 0.22449945486972325)	0.22449945486972325
uncoupled_cpl	extractionPatterns(economicSector, other forms of _ 0.15661542514326354)	0.15661542514326354
uncoupled_cpl	extractionPatterns(economicSector, other types of _ 0.18947977279970574)	0.18947977279970574
uncoupled_cpl	extractionPatterns(economicSector, piece of _ 0.033488974959662236)	0.033488974959662236
uncoupled_cpl	extractionPatterns(economicSector, plan of _ 0.30197229627616173)	0.30197229627616173
uncoupled_cpl	extractionPatterns(economicSector, pool of _ 0.19038270420699163)	0.19038270420699163
uncoupled_cpl	extractionPatterns(economicSector, portfolio of _ 0.20676818344450654)	0.20676818344450654
uncoupled_cpl	extractionPatterns(economicSector, program of _ 0.2847550334719546)	0.2847550334719546
uncoupled_cpl	extractionPatterns(economicSector, _ provided by 0.2343433339184655)	0.2343433339184655
uncoupled_cpl	extractionPatterns(economicSector, quantities of _ 0.222580599060822)	0.222580599060822
uncoupled_cpl	extractionPatterns(economicSector, quantity of _ 0.20753173733399333)	0.20753173733399333
uncoupled_cpl	extractionPatterns(economicSector, scheme of _ 0.45967939494713034)	0.45967939494713034
uncoupled_cpl	extractionPatterns(economicSector, selection of _ 0.028766924692191394)	0.028766924692191394
uncoupled_cpl	extractionPatterns(economicSector, speed of _ 0.1884828985655329)	0.1884828985655329
uncoupled_cpl	extractionPatterns(economicSector, _ supplied by 0.2247825024653972)	0.2247825024653972
uncoupled_cpl	extractionPatterns(economicSector, supply of _ 0.1708193010852735)	0.1708193010852735
uncoupled_cpl	extractionPatterns(economicSector, term of _ 0.21208206079166222)	0.21208206079166222
uncoupled_cpl	extractionPatterns(economicSector, transfer of _ 0.22966972048117246)	0.22966972048117246
uncoupled_cpl	extractionPatterns(economicSector, type of _ 0.2180534636848972)	0.2180534636848972
uncoupled_cpl	extractionPatterns(economicSector, unit of _ 0.23502344590644395)	0.23502344590644395
uncoupled_cpl	extractionPatterns(economicSector, units of _ 0.22645545954431334)	0.22645545954431334
uncoupled_cpl	extractionPatterns(economicSector, variety of _ 0.11300762326761797)	0.11300762326761797
uncoupled_cpl	extractionPatterns(economicSector, version of _ 0.047601547869817185)	0.047601547869817185
uncoupled_cpl	extractionPatterns(economicSector, vice president of _ 0.1152567535142612)	0.1152567535142612
uncoupled_cpl	extractionPatterns(economicSector, volume of _ 0.20725880519639825)	0.20725880519639825
uncoupled_cpl	extractionPatterns(economicSector, volumes of _ 0.24820928439537257)	0.24820928439537257
uncoupled_cpl	extractionPatterns(emotion, air of _ 0.2633163810554984)	0.2633163810554984
uncoupled_cpl	extractionPatterns(emotion, aura of _ 0.20644587654308005)	0.20644587654308005
uncoupled_cpl	extractionPatterns(emotion, awful lot of _ 0.21328734176819525)	0.21328734176819525
uncoupled_cpl	extractionPatterns(emotion, bond of _ 0.22287415370039662)	0.22287415370039662
uncoupled_cpl	extractionPatterns(emotion, bonds of _ 0.2304920286515617)	0.2304920286515617
uncoupled_cpl	extractionPatterns(emotion, bouts of _ 0.1489640913101201)	0.1489640913101201
uncoupled_cpl	extractionPatterns(emotion, burst of _ 0.214905474718941)	0.214905474718941
uncoupled_cpl	extractionPatterns(emotion, call of _ 0.2193176814590955)	0.2193176814590955
uncoupled_cpl	extractionPatterns(emotion, certain amount of _ 0.2794019089118226)	0.2794019089118226
uncoupled_cpl	extractionPatterns(emotion, considerable amount of _ 0.3207000552511718)	0.3207000552511718
uncoupled_cpl	extractionPatterns(emotion, continuum of _ 0.21197074693219148)	0.21197074693219148
uncoupled_cpl	extractionPatterns(emotion, cries of _ 0.2031529774996276)	0.2031529774996276
uncoupled_cpl	extractionPatterns(emotion, cry of _ 0.2940333743173269)	0.2940333743173269
uncoupled_cpl	extractionPatterns(emotion, deal of _ 0.2964353879924104)	0.2964353879924104
uncoupled_cpl	extractionPatterns(emotion, deep sense of _ 0.2469631855052866)	0.2469631855052866
uncoupled_cpl	extractionPatterns(emotion, degree of _ 0.2420817015722816)	0.2420817015722816
uncoupled_cpl	extractionPatterns(emotion, degrees of _ 0.3101023111453774)	0.3101023111453774
uncoupled_cpl	extractionPatterns(emotion, enormous amount of _ 0.2692602217171354)	0.2692602217171354
uncoupled_cpl	extractionPatterns(emotion, expression of _ 0.17226487771794982)	0.17226487771794982
uncoupled_cpl	extractionPatterns(emotion, expressions of _ 0.32181288655361184)	0.32181288655361184
uncoupled_cpl	extractionPatterns(emotion, false sense of _ 0.5992220789968206)	0.5992220789968206
uncoupled_cpl	extractionPatterns(emotion, feeling of _ 0.2991736813958419)	0.2991736813958419
uncoupled_cpl	extractionPatterns(emotion, feelings of _ 0.38484100654613124)	0.38484100654613124
uncoupled_cpl	extractionPatterns(emotion, _ felt by 0.25392940085206844)	0.25392940085206844
uncoupled_cpl	extractionPatterns(emotion, fit of _ 0.2934684914474687)	0.2934684914474687
uncoupled_cpl	extractionPatterns(emotion, gesture of _ 0.2829786007280109)	0.2829786007280109
uncoupled_cpl	extractionPatterns(emotion, glimmer of _ 0.38314108097171795)	0.38314108097171795
uncoupled_cpl	extractionPatterns(emotion, good amount of _ 0.20734379872901235)	0.20734379872901235
uncoupled_cpl	extractionPatterns(emotion, great sense of _ 0.4731409231906636)	0.4731409231906636
uncoupled_cpl	extractionPatterns(emotion, items of _ 0.30652989244278517)	0.30652989244278517
uncoupled_cpl	extractionPatterns(emotion, level of _ 0.5150352160379694)	0.5150352160379694
uncoupled_cpl	extractionPatterns(emotion, long period of _ 0.769708043747134)	0.769708043747134
uncoupled_cpl	extractionPatterns(emotion, long periods of _ 0.8335988396154652)	0.8335988396154652
uncoupled_cpl	extractionPatterns(emotion, messages of _ 0.2694123967277979)	0.2694123967277979
uncoupled_cpl	extractionPatterns(emotion, mixture of _ 0.43855019672688467)	0.43855019672688467
uncoupled_cpl	extractionPatterns(emotion, moment in _ 0.2639770794157014)	0.2639770794157014
uncoupled_cpl	extractionPatterns(emotion, moments of _ 0.2657527270767335)	0.2657527270767335
uncoupled_cpl	extractionPatterns(emotion, places of _ 0.2758072573926894)	0.2758072573926894
uncoupled_cpl	extractionPatterns(emotion, plan of _ 0.2612253066945162)	0.2612253066945162
uncoupled_cpl	extractionPatterns(emotion, prayer of _ 0.21875628997202007)	0.21875628997202007
uncoupled_cpl	extractionPatterns(emotion, rush of _ 0.20890597680215697)	0.20890597680215697
uncoupled_cpl	extractionPatterns(emotion, semblance of _ 0.2782498021160392)	0.2782498021160392
uncoupled_cpl	extractionPatterns(emotion, short period of _ 0.9049957784402471)	0.9049957784402471
uncoupled_cpl	extractionPatterns(emotion, sigh of _ 0.8804360349194202)	0.8804360349194202
uncoupled_cpl	extractionPatterns(emotion, surge of _ 0.2878902349903064)	0.2878902349903064
uncoupled_cpl	extractionPatterns(emotion, tears of _ 0.37638978888487934)	0.37638978888487934
uncoupled_cpl	extractionPatterns(emotion, time of _ 0.17930267129782818)	0.17930267129782818
uncoupled_cpl	extractionPatterns(emotion, topics of _ 0.3660296272816447)	0.3660296272816447
uncoupled_cpl	extractionPatterns(emotion, tremendous amount of _ 0.29728083932865373)	0.29728083932865373
uncoupled_cpl	extractionPatterns(emotion, whole lot of _ 0.23689696007544592)	0.23689696007544592
uncoupled_cpl	extractionPatterns(food, _ are tender 0.5526397148509993)	0.5526397148509993
uncoupled_cpl	extractionPatterns(food, barrels of _ 0.39839273056976465)	0.39839273056976465
uncoupled_cpl	extractionPatterns(food, bowl , combine _ 0.34736853573079784)	0.34736853573079784
uncoupled_cpl	extractionPatterns(food, bowl of _ 0.4320473889978471)	0.4320473889978471
uncoupled_cpl	extractionPatterns(food, bowls of _ 0.3963589654190848)	0.3963589654190848
uncoupled_cpl	extractionPatterns(food, breakfast of _ 0.41133348272342163)	0.41133348272342163
uncoupled_cpl	extractionPatterns(food, buckets of _ 0.3862795302387731)	0.3862795302387731
uncoupled_cpl	extractionPatterns(food, chocolate covered _ 0.5071187915376373)	0.5071187915376373
uncoupled_cpl	extractionPatterns(food, container of _ 0.3299810666352923)	0.3299810666352923
uncoupled_cpl	extractionPatterns(food, crops of _ 0.3596363129412719)	0.3596363129412719
uncoupled_cpl	extractionPatterns(food, crops such as _ 0.42328227741602314)	0.42328227741602314
uncoupled_cpl	extractionPatterns(food, cup of _ 0.4018417196941731)	0.4018417196941731
uncoupled_cpl	extractionPatterns(food, cups of _ 0.6317174863786654)	0.6317174863786654
uncoupled_cpl	extractionPatterns(food, cuts of _ 0.5688150167987032)	0.5688150167987032
uncoupled_cpl	extractionPatterns(food, diet rich in _ 0.4647056893063694)	0.4647056893063694
uncoupled_cpl	extractionPatterns(food, few drops of _ 0.3190064362718658)	0.3190064362718658
uncoupled_cpl	extractionPatterns(food, gallon of _ 0.42853194198511174)	0.42853194198511174
uncoupled_cpl	extractionPatterns(food, gallons of _ 0.43867256930195186)	0.43867256930195186
uncoupled_cpl	extractionPatterns(food, glasses of _ 0.49981262539798804)	0.49981262539798804
uncoupled_cpl	extractionPatterns(food, glass of _ 0.5730444449028202)	0.5730444449028202
uncoupled_cpl	extractionPatterns(food, grain of _ 0.6009641480819983)	0.6009641480819983
uncoupled_cpl	extractionPatterns(food, grains of _ 0.56598086996418)	0.56598086996418
uncoupled_cpl	extractionPatterns(food, _ is tender 0.6429694934244268)	0.6429694934244268
uncoupled_cpl	extractionPatterns(food, jar of _ 0.3966265980365894)	0.3966265980365894
uncoupled_cpl	extractionPatterns(food, jug of _ 0.41166720948582086)	0.41166720948582086
uncoupled_cpl	extractionPatterns(food, mixture of _ 0.8986451848521759)	0.8986451848521759
uncoupled_cpl	extractionPatterns(food, mug of _ 0.5164390516495075)	0.5164390516495075
uncoupled_cpl	extractionPatterns(food, pan of _ 0.40303132118236695)	0.40303132118236695
uncoupled_cpl	extractionPatterns(food, pinch of _ 0.4588706118751345)	0.4588706118751345
uncoupled_cpl	extractionPatterns(food, pitcher of _ 0.38301275020619585)	0.38301275020619585
uncoupled_cpl	extractionPatterns(food, plenty of _ 0.1220597011811039)	0.1220597011811039
uncoupled_cpl	extractionPatterns(food, pot of _ 0.386925929852821)	0.386925929852821
uncoupled_cpl	extractionPatterns(food, pound of _ 0.3432631241860606)	0.3432631241860606
uncoupled_cpl	extractionPatterns(food, puddle of _ 0.3809336751425396)	0.3809336751425396
uncoupled_cpl	extractionPatterns(food, quart of _ 0.49940594346291717)	0.49940594346291717
uncoupled_cpl	extractionPatterns(food, sack of _ 0.3445669044438695)	0.3445669044438695
uncoupled_cpl	extractionPatterns(food, sacks of _ 0.3429090593707692)	0.3429090593707692
uncoupled_cpl	extractionPatterns(food, scoop of _ 0.1985375555549425)	0.1985375555549425
uncoupled_cpl	extractionPatterns(food, serving of _ 0.33234157453396207)	0.33234157453396207
uncoupled_cpl	extractionPatterns(food, servings of _ 0.48201791382988174)	0.48201791382988174
uncoupled_cpl	extractionPatterns(food, simmer until _ 0.31915608538045026)	0.31915608538045026
uncoupled_cpl	extractionPatterns(food, sip of _ 0.38306216203796706)	0.38306216203796706
uncoupled_cpl	extractionPatterns(food, slices of _ 0.396265832005816)	0.396265832005816
uncoupled_cpl	extractionPatterns(food, sprinkle with _ 0.41545000368551793)	0.41545000368551793
uncoupled_cpl	extractionPatterns(food, tablespoon of _ 0.4560421680268919)	0.4560421680268919
uncoupled_cpl	extractionPatterns(food, teaspoon of _ 0.4333576111670015)	0.4333576111670015
uncoupled_cpl	extractionPatterns(food, tub of _ 0.4270505024630469)	0.4270505024630469
uncoupled_cpl	extractionPatterns(food, variety of _ 0.2205976113920311)	0.2205976113920311
uncoupled_cpl	extractionPatterns(food, vegetables like _ 0.12142408819278215)	0.12142408819278215
uncoupled_cpl	extractionPatterns(food, vegetables such as _ 0.22011393066881813)	0.22011393066881813
uncoupled_cpl	extractionPatterns(furniture, _ are equipped with 0.13692376060327813)	0.13692376060327813
uncoupled_cpl	extractionPatterns(furniture, _ are hand 0.1301526873052774)	0.1301526873052774
uncoupled_cpl	extractionPatterns(furniture, _ are made for 0.12513564125097915)	0.12513564125097915
uncoupled_cpl	extractionPatterns(furniture, _ are made with 0.13369061390416567)	0.13369061390416567
uncoupled_cpl	extractionPatterns(furniture, baby bedding _ 0.11301429091408437)	0.11301429091408437
uncoupled_cpl	extractionPatterns(furniture, couple of new _ 0.121876870754673)	0.121876870754673
uncoupled_cpl	extractionPatterns(furniture, _ crafted by 0.1455858983356986)	0.1455858983356986
uncoupled_cpl	extractionPatterns(furniture, _ crafted from 0.09637186276519508)	0.09637186276519508
uncoupled_cpl	extractionPatterns(furniture, development of new _ 0.12381880896765829)	0.12381880896765829
uncoupled_cpl	extractionPatterns(furniture, different set of _ 0.13992915782186746)	0.13992915782186746
uncoupled_cpl	extractionPatterns(furniture, _ encountered by 0.11578491384582731)	0.11578491384582731
uncoupled_cpl	extractionPatterns(furniture, extensive range of _ 0.12964283923897818)	0.12964283923897818
uncoupled_cpl	extractionPatterns(furniture, _ faced by 0.23224765458602478)	0.23224765458602478
uncoupled_cpl	extractionPatterns(furniture, furniture including _ 0.07171201300594914)	0.07171201300594914
uncoupled_cpl	extractionPatterns(furniture, game of musical _ 0.20488939131841058)	0.20488939131841058
uncoupled_cpl	extractionPatterns(furniture, hand crafted _ 0.1252178823805338)	0.1252178823805338
uncoupled_cpl	extractionPatterns(furniture, hand made _ 0.1241861039751898)	0.1241861039751898
uncoupled_cpl	extractionPatterns(furniture, hand painted _ 0.13923891616547454)	0.13923891616547454
uncoupled_cpl	extractionPatterns(furniture, _ have appeared in 0.13156713833157094)	0.13156713833157094
uncoupled_cpl	extractionPatterns(furniture, hundreds of different _ 0.1305926947197815)	0.1305926947197815
uncoupled_cpl	extractionPatterns(furniture, _ is hand 0.12160842832120632)	0.12160842832120632
uncoupled_cpl	extractionPatterns(furniture, list of available _ 0.12553169531318076)	0.12553169531318076
uncoupled_cpl	extractionPatterns(furniture, loads of _ 0.13174434693440062)	0.13174434693440062
uncoupled_cpl	extractionPatterns(furniture, lots of different _ 0.17594039606911543)	0.17594039606911543
uncoupled_cpl	extractionPatterns(furniture, lots of great _ 0.13404375533239485)	0.13404375533239485
uncoupled_cpl	extractionPatterns(furniture, lots of new _ 0.10561583144077133)	0.10561583144077133
uncoupled_cpl	extractionPatterns(furniture, matter of _ 0.13206659183583866)	0.13206659183583866
uncoupled_cpl	extractionPatterns(furniture, _ missing from 0.1212351779922209)	0.1212351779922209
uncoupled_cpl	extractionPatterns(furniture, number of different _ 0.1298706920609101)	0.1298706920609101
uncoupled_cpl	extractionPatterns(furniture, number of new _ 0.12901804508803547)	0.12901804508803547
uncoupled_cpl	extractionPatterns(furniture, number of potential _ 0.11708583273819556)	0.11708583273819556
uncoupled_cpl	extractionPatterns(furniture, own set of _ 0.16150680515895843)	0.16150680515895843
uncoupled_cpl	extractionPatterns(furniture, _ painted by 0.06671309623376322)	0.06671309623376322
uncoupled_cpl	extractionPatterns(furniture, _ painted on 0.12010294847872578)	0.12010294847872578
uncoupled_cpl	extractionPatterns(furniture, _ painted with 0.07082437909875469)	0.07082437909875469
uncoupled_cpl	extractionPatterns(furniture, plenty of _ 0.22176943896745144)	0.22176943896745144
uncoupled_cpl	extractionPatterns(furniture, point of _ 0.3401260482256172)	0.3401260482256172
uncoupled_cpl	extractionPatterns(furniture, _ posed by 0.153008775962906)	0.153008775962906
uncoupled_cpl	extractionPatterns(furniture, _ purchased from 0.12195831170258534)	0.12195831170258534
uncoupled_cpl	extractionPatterns(furniture, range of different _ 0.13177438807006103)	0.13177438807006103
uncoupled_cpl	extractionPatterns(furniture, rows of _ 0.12335967546088254)	0.12335967546088254
uncoupled_cpl	extractionPatterns(furniture, scarcity of _ 0.1271612897827324)	0.1271612897827324
uncoupled_cpl	extractionPatterns(furniture, selection of _ 0.15541334027151416)	0.15541334027151416
uncoupled_cpl	extractionPatterns(furniture, series of _ 0.18218857535347385)	0.18218857535347385
uncoupled_cpl	extractionPatterns(furniture, unique set of _ 0.1250542044590766)	0.1250542044590766
uncoupled_cpl	extractionPatterns(furniture, unlimited number of _ 0.12873335877823003)	0.12873335877823003
uncoupled_cpl	extractionPatterns(furniture, variety of _ 0.14435395132832476)	0.14435395132832476
uncoupled_cpl	extractionPatterns(furniture, variety of different _ 0.14150715468956235)	0.14150715468956235
uncoupled_cpl	extractionPatterns(furniture, vast array of _ 0.12196416584204528)	0.12196416584204528
uncoupled_cpl	extractionPatterns(furniture, _ were made for 0.13412822950482461)	0.13412822950482461
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Attorney for the District of arg2 0.46527762897500513)	0.46527762897500513
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Attorney in arg2 0.00996376765799401)	0.00996376765799401
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Bankruptcy Court for arg2 0.3583331997067315)	0.3583331997067315
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Bankruptcy Court in arg2 0.3804345983107722)	0.3804345983107722
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Campus in arg2 0.004170526467255598)	0.004170526467255598
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 campus in arg2 0.008005824017338707)	0.008005824017338707
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Congressman from arg2 0.3274853361577842)	0.3274853361577842
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Culinary Academy in arg2 0.33152170380204604)	0.33152170380204604
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Department of Justice in arg2 0.30769230656666036)	0.30769230656666036
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 District Court for arg2 0.2317189648520027)	0.2317189648520027
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 District Court for the Eastern arg2 0.9654509317500555)	0.9654509317500555
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 District Court in arg2 0.02006552722008365)	0.02006552722008365
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 district court in arg2 0.31623932324513404)	0.31623932324513404
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Divinity School in arg2 0.028919331426248467)	0.028919331426248467
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 for a position in arg2 0.0022371355584198003)	0.0022371355584198003
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 has offices in arg2 0.001584785836039972)	0.001584785836039972
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Headquarters in arg2 0.001081860537628234)	0.001081860537628234
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 headquarters in arg2 0.004127580000681928)	0.004127580000681928
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Health Science Center at arg2 0.6501852218451845)	0.6501852218451845
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Health Science Center in arg2 0.5637068117325464)	0.5637068117325464
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Holocaust Memorial Museum in arg2 0.5000000902799808)	0.5000000902799808
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 House of Representatives from arg2 0.41958044812775197)	0.41958044812775197
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 HQ in arg2 0.0033259431199374975)	0.0033259431199374975
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Human Rights Commission in arg2 0.31468535889532784)	0.31468535889532784
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 including Alaska and arg2 0.31623932324513404)	0.31623932324513404
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Medical School at arg2 0.4967318180658209)	0.4967318180658209
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Mint in arg2 0.20704854423461336)	0.20704854423461336
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Motor Company in arg2 0.07458140989090886)	0.07458140989090886
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Museum of Natural History in arg2 0.020512824562951296)	0.020512824562951296
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Naval Observatory in arg2 0.3333334295560505)	0.3333334295560505
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Open in arg2 0.013175226408453672)	0.013175226408453672
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Press Club in arg2 0.6680675418519552)	0.6680675418519552
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Representative from arg2 0.2967741105792824)	0.2967741105792824
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 School of Medicine in arg2 0.05552643862705814)	0.05552643862705814
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 School of Public Health in arg2 0.32608702023486)	0.32608702023486
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Senate from arg2 0.29794511121368517)	0.29794511121368517
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Senate race in arg2 0.33823545959827594)	0.33823545959827594
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Senate seat in arg2 0.4083335149075366)	0.4083335149075366
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Senator for arg2 0.3101603056998834)	0.3101603056998834
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Senator from arg2 0.21334301702970235)	0.21334301702970235
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 senator from arg2 0.35259436162495794)	0.35259436162495794
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 Senators from arg2 0.3369566472769877)	0.3369566472769877
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg1 World Headquarters in arg2 0.016369048727637784)	0.016369048727637784
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg2 as the capital of arg1 0.0547945249330687)	0.0547945249330687
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg2 campus of the University of arg1 0.014905142371035535)	0.014905142371035535
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg2 is the only state in arg1 0.31428564787433483)	0.31428564787433483
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg2 law and controlling arg1 0.32989693219089783)	0.32989693219089783
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg2 to interview with arg1 0.0022371355584198003)	0.0022371355584198003
uncoupled_cpl	extractionPatterns(hasOfficeInCity, arg2 to work at arg1 4.798466424536173E-4)	4.798466424536173E-4
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 Airlines in arg2 0.0020661155097451162)	0.0020661155097451162
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 Company in arg2 1.9673419583846275E-4)	1.9673419583846275E-4
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 connects it to arg2 0.0014326649036710288)	0.0014326649036710288
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 Corp of arg2 0.0010113269485269314)	0.0010113269485269314
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 Corporation of arg2 7.485032590543819E-4)	7.485032590543819E-4
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 Electronics in arg2 0.002629448895992861)	0.002629448895992861
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 Electronics of arg2 0.020239199211394415)	0.020239199211394415
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 employees in arg2 4.343104313265967E-4)	4.343104313265967E-4
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 factories in arg2 0.0020661155097451162)	0.0020661155097451162
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 flight from arg2 0.0033277862029127882)	0.0033277862029127882
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 flights from arg2 0.0029171534035112084)	0.0029171534035112084
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 flight to arg2 0.004495506215210376)	0.004495506215210376
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 government in arg2 0.012169968017071502)	0.012169968017071502
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 Group in arg2 6.260959023222741E-4)	6.260959023222741E-4
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 Heavy Industries in arg2 0.005519781515510072)	0.005519781515510072
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 hosting in arg2 0.0038204387765068113)	0.0038204387765068113
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 is based in arg2 1.0047727253197424E-4)	1.0047727253197424E-4
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 launched in arg2 4.307558938014193E-4)	4.307558938014193E-4
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 marketers in arg2 0.0035765379483535605)	0.0035765379483535605
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 marketing in arg2 0.0038204387765068113)	0.0038204387765068113
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 Motors in arg2 0.0027598884961909293)	0.0027598884961909293
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 plants in arg2 2.619515486818043E-4)	2.619515486818043E-4
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 portal in arg2 0.004297993470319254)	0.004297993470319254
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 products in arg2 3.780719638156745E-4)	3.780719638156745E-4
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 Research Laboratories in arg2 0.009073547198194084)	0.009073547198194084
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 server in arg2 5.08905610332557E-4)	5.08905610332557E-4
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 site is protected by arg2 0.010729610747763784)	0.010729610747763784
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 state in arg2 0.005876893341361353)	0.005876893341361353
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg1 users in arg2 4.918356214699809E-4)	4.918356214699809E-4
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg2 automaker arg1 0.0036798510616428007)	0.0036798510616428007
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg2 automakers arg1 0.0036157029088163817)	0.0036157029088163817
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg2 based arg1 8.60037285854391E-6)	8.60037285854391E-6
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg2 carmaker arg1 0.011619959650298339)	0.011619959650298339
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg2 company arg1 1.6821983252429336E-5)	1.6821983252429336E-5
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg2 Congress and arg1 0.01132074947907418)	0.01132074947907418
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg2 Congress and the arg1 0.01640464094062508)	0.01640464094062508
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg2 government and arg1 1.9673419583846275E-4)	1.9673419583846275E-4
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg2 government and the arg1 0.004132230273374892)	0.004132230273374892
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg2 government or arg1 0.006835272098606467)	0.006835272098606467
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg2 lawsuit against arg1 4.045306709456304E-4)	4.045306709456304E-4
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg2 rival arg1 8.451655775833281E-4)	8.451655775833281E-4
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg2 Steel and arg1 0.004098361579070602)	0.004098361579070602
uncoupled_cpl	extractionPatterns(hasOfficeInCountry, arg2 to access arg1 2.5510536374066074E-5)	2.5510536374066074E-5
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 and its capital arg2 0.05337077326412021)	0.05337077326412021
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 Based in arg2 0.010151081778610994)	0.010151081778610994
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 campus in arg2 0.008005824017338707)	0.008005824017338707
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 campus near arg2 0.006920411816973067)	0.006920411816973067
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 casualties in arg2 0.03544305340254029)	0.03544305340254029
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 Center in downtown arg2 0.008724099721497326)	0.008724099721497326
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 Corp in arg2 0.008650518652580257)	0.008650518652580257
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 corporate headquarters in arg2 0.010050247680046332)	0.010050247680046332
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 Corporation in arg2 0.007006072541948692)	0.007006072541948692
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 Corporation is headquartered in arg2 0.010050247680046332)	0.010050247680046332
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 Field in arg2 0.025187964443526983)	0.025187964443526983
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 General Assembly in arg2 0.12867647120672948)	0.12867647120672948
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 Headquartered in arg2 0.009365242960152743)	0.009365242960152743
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 headquarters are in arg2 0.008724099721497326)	0.008724099721497326
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 Headquarters in arg2 0.0018031015744350634)	0.0018031015744350634
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 headquarters in arg2 0.004627891102824671)	0.004627891102824671
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 HQ in arg2 0.0048275846927693065)	0.0048275846927693065
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 invasion and occupation of arg2 0.06835442346889505)	0.06835442346889505
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 is headquartered in arg2 5.356904941292823E-4)	5.356904941292823E-4
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 military spokesman in arg2 0.03999999299472865)	0.03999999299472865
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 Motor Company in arg2 0.029443827010697664)	0.029443827010697664
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 News in arg2 0.013082863956522129)	0.013082863956522129
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 Policy Institute in arg2 0.04810125551635286)	0.04810125551635286
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 Radio in arg2 0.007106602482049014)	0.007106602482049014
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 Research in arg2 0.0055342235649304215)	0.0055342235649304215
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 Secretariat in arg2 0.019101125862235505)	0.019101125862235505
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 service center in arg2 0.008650518652580257)	0.008650518652580257
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 Space Center in arg2 0.006711411449298698)	0.006711411449298698
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 spokesman in arg2 0.01635769254887063)	0.01635769254887063
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 spokeswoman in arg2 0.008928570279420556)	0.008928570279420556
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 Television in arg2 0.022222233106009764)	0.022222233106009764
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 Trade Center in arg2 0.3734336253902686)	0.3734336253902686
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 Trade Centre in arg2 0.09481477760122642)	0.09481477760122642
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 University of Technology in arg2 0.052631577850865294)	0.052631577850865294
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 world headquarters in arg2 0.008928570279420556)	0.008928570279420556
uncoupled_cpl	extractionPatterns(headquarteredIn, arg1 World Headquarters in arg2 0.02076125021905331)	0.02076125021905331
uncoupled_cpl	extractionPatterns(headquarteredIn, arg2 and elsewhere in arg1 0.04735376254970776)	0.04735376254970776
uncoupled_cpl	extractionPatterns(headquarteredIn, arg2 and other cities in arg1 0.04675715438419747)	0.04675715438419747
uncoupled_cpl	extractionPatterns(headquarteredIn, arg2 and other cities of arg1 0.04775282745935427)	0.04775282745935427
uncoupled_cpl	extractionPatterns(headquarteredIn, arg2 and other major cities in arg1 0.012359552909220407)	0.012359552909220407
uncoupled_cpl	extractionPatterns(headquarteredIn, arg2 and tourist resorts in arg1 0.060085844357537756)	0.060085844357537756
uncoupled_cpl	extractionPatterns(headquarteredIn, arg2 became the capital of arg1 0.052631577850865294)	0.052631577850865294
uncoupled_cpl	extractionPatterns(headquarteredIn, arg2 has been the capital of arg1 0.04494382061178648)	0.04494382061178648
uncoupled_cpl	extractionPatterns(headquarteredIn, arg2 is the capital city of arg1 0.008928570279420556)	0.008928570279420556
uncoupled_cpl	extractionPatterns(headquarteredIn, arg2 is the capital of arg1 0.011764708899886466)	0.011764708899886466
uncoupled_cpl	extractionPatterns(headquarteredIn, arg2 on the Map of arg1 0.08148144120031106)	0.08148144120031106
uncoupled_cpl	extractionPatterns(headquarteredIn, arg2 the capital city of arg1 0.05898878133624062)	0.05898878133624062
uncoupled_cpl	extractionPatterns(headquarteredIn, arg2 The capital of arg1 0.04721030896326528)	0.04721030896326528
uncoupled_cpl	extractionPatterns(headquarteredIn, arg2 the capital of arg1 0.08567210519530519)	0.08567210519530519
uncoupled_cpl	extractionPatterns(headquarteredIn, arg2 to interview with arg1 0.008474573088692669)	0.008474573088692669
uncoupled_cpl	extractionPatterns(hobby, activities include _ 0.13287811493478383)	0.13287811493478383
uncoupled_cpl	extractionPatterns(hobby, activities including _ 0.10580039776197754)	0.10580039776197754
uncoupled_cpl	extractionPatterns(hobby, activities like _ 0.10580039776197754)	0.10580039776197754
uncoupled_cpl	extractionPatterns(hobby, activities such as _ 0.11902913308414052)	0.11902913308414052
uncoupled_cpl	extractionPatterns(hobby, advancement of _ 0.1523225449745415)	0.1523225449745415
uncoupled_cpl	extractionPatterns(hobby, breadth of _ 0.1211031036418068)	0.1211031036418068
uncoupled_cpl	extractionPatterns(hobby, broad range of _ 0.14107494570404255)	0.14107494570404255
uncoupled_cpl	extractionPatterns(hobby, catalog of _ 0.13688022576981168)	0.13688022576981168
uncoupled_cpl	extractionPatterns(hobby, certain types of _ 0.1500124482493833)	0.1500124482493833
uncoupled_cpl	extractionPatterns(hobby, _ covered in 0.1307093660821763)	0.1307093660821763
uncoupled_cpl	extractionPatterns(hobby, directory of _ 0.14015224261013565)	0.14015224261013565
uncoupled_cpl	extractionPatterns(hobby, ease of _ 0.445210088159645)	0.445210088159645
uncoupled_cpl	extractionPatterns(hobby, game of _ 0.15218612509947504)	0.15218612509947504
uncoupled_cpl	extractionPatterns(hobby, genre of _ 0.5622807492490418)	0.5622807492490418
uncoupled_cpl	extractionPatterns(hobby, hobbies include _ 0.10712145444230231)	0.10712145444230231
uncoupled_cpl	extractionPatterns(hobby, _ is provided for 0.14210003465522178)	0.14210003465522178
uncoupled_cpl	extractionPatterns(hobby, kinds of _ 0.14296792136585468)	0.14296792136585468
uncoupled_cpl	extractionPatterns(hobby, long list of _ 0.12303947993867888)	0.12303947993867888
uncoupled_cpl	extractionPatterns(hobby, lot of good _ 0.12562185943546203)	0.12562185943546203
uncoupled_cpl	extractionPatterns(hobby, lot of great _ 0.1401324825370455)	0.1401324825370455
uncoupled_cpl	extractionPatterns(hobby, lot of other _ 0.1944249600264438)	0.1944249600264438
uncoupled_cpl	extractionPatterns(hobby, lots of good _ 0.14028432822523176)	0.14028432822523176
uncoupled_cpl	extractionPatterns(hobby, lots of other _ 0.17669909877159945)	0.17669909877159945
uncoupled_cpl	extractionPatterns(hobby, love of _ 0.13572425340470065)	0.13572425340470065
uncoupled_cpl	extractionPatterns(hobby, modes of _ 0.13621578448790508)	0.13621578448790508
uncoupled_cpl	extractionPatterns(hobby, passion for _ 0.0589436132313298)	0.0589436132313298
uncoupled_cpl	extractionPatterns(hobby, plan of _ 0.2818864355413752)	0.2818864355413752
uncoupled_cpl	extractionPatterns(hobby, plethora of _ 0.15374083251375542)	0.15374083251375542
uncoupled_cpl	extractionPatterns(hobby, portfolio of _ 0.12128489460640716)	0.12128489460640716
uncoupled_cpl	extractionPatterns(hobby, _ presented in 0.15029488721511147)	0.15029488721511147
uncoupled_cpl	extractionPatterns(hobby, programme of _ 0.16498396361779688)	0.16498396361779688
uncoupled_cpl	extractionPatterns(hobby, program of _ 0.21718929033237996)	0.21718929033237996
uncoupled_cpl	extractionPatterns(hobby, programs of _ 0.18754752481662604)	0.18754752481662604
uncoupled_cpl	extractionPatterns(hobby, _ revolves around 0.14235476385920062)	0.14235476385920062
uncoupled_cpl	extractionPatterns(hobby, round of _ 0.13368900962642452)	0.13368900962642452
uncoupled_cpl	extractionPatterns(hobby, selection of _ 0.13490033937758766)	0.13490033937758766
uncoupled_cpl	extractionPatterns(hobby, site contains _ 0.20583261274258158)	0.20583261274258158
uncoupled_cpl	extractionPatterns(hobby, site includes _ 0.16496499155289546)	0.16496499155289546
uncoupled_cpl	extractionPatterns(hobby, site offers _ 0.1537208475045824)	0.1537208475045824
uncoupled_cpl	extractionPatterns(hobby, site provides _ 0.25100510535435955)	0.25100510535435955
uncoupled_cpl	extractionPatterns(hobby, sorts of _ 0.13882779483282875)	0.13882779483282875
uncoupled_cpl	extractionPatterns(hobby, sport of _ 0.1679375659333548)	0.1679375659333548
uncoupled_cpl	extractionPatterns(hobby, sports such as _ 0.13250299898009013)	0.13250299898009013
uncoupled_cpl	extractionPatterns(hobby, style of _ 0.13908500305383562)	0.13908500305383562
uncoupled_cpl	extractionPatterns(hobby, styles of _ 0.11603968898176228)	0.11603968898176228
uncoupled_cpl	extractionPatterns(hobby, suite of _ 0.13661971715296042)	0.13661971715296042
uncoupled_cpl	extractionPatterns(hobby, taste in _ 0.1360054935924188)	0.1360054935924188
uncoupled_cpl	extractionPatterns(hobby, variety of _ 0.359520888211478)	0.359520888211478
uncoupled_cpl	extractionPatterns(hobby, variety of other _ 0.1423345509178854)	0.1423345509178854
uncoupled_cpl	extractionPatterns(hobby, wide range of _ 0.1384375441259471)	0.1384375441259471
uncoupled_cpl	extractionPatterns(kitchenItem, _ are made by 0.10340758124618077)	0.10340758124618077
uncoupled_cpl	extractionPatterns(kitchenItem, _ are made on 0.10590974604152836)	0.10590974604152836
uncoupled_cpl	extractionPatterns(kitchenItem, average number of _ 0.1125884662156908)	0.1125884662156908
uncoupled_cpl	extractionPatterns(kitchenItem, bags of _ 0.10564371770109611)	0.10564371770109611
uncoupled_cpl	extractionPatterns(kitchenItem, block of _ 0.10601952539431332)	0.10601952539431332
uncoupled_cpl	extractionPatterns(kitchenItem, blocks of _ 0.10044077787995231)	0.10044077787995231
uncoupled_cpl	extractionPatterns(kitchenItem, bodies of _ 0.211365376688055)	0.211365376688055
uncoupled_cpl	extractionPatterns(kitchenItem, bundle of _ 0.0998227665437152)	0.0998227665437152
uncoupled_cpl	extractionPatterns(kitchenItem, cakes from _ 0.018264846916834304)	0.018264846916834304
uncoupled_cpl	extractionPatterns(kitchenItem, certain amount of _ 0.13673069741517724)	0.13673069741517724
uncoupled_cpl	extractionPatterns(kitchenItem, chunks of _ 0.10453263078534904)	0.10453263078534904
uncoupled_cpl	extractionPatterns(kitchenItem, circle of _ 0.20051203682451552)	0.20051203682451552
uncoupled_cpl	extractionPatterns(kitchenItem, clatter of _ 0.03438974051253949)	0.03438974051253949
uncoupled_cpl	extractionPatterns(kitchenItem, deal of _ 0.1105253911784902)	0.1105253911784902
uncoupled_cpl	extractionPatterns(kitchenItem, donations of _ 0.12030777836843731)	0.12030777836843731
uncoupled_cpl	extractionPatterns(kitchenItem, End of _ 0.1481750402011032)	0.1481750402011032
uncoupled_cpl	extractionPatterns(kitchenItem, fair amount of _ 0.13656904063897127)	0.13656904063897127
uncoupled_cpl	extractionPatterns(kitchenItem, first couple of _ 0.15188448715106617)	0.15188448715106617
uncoupled_cpl	extractionPatterns(kitchenItem, good amount of _ 0.18812643793498168)	0.18812643793498168
uncoupled_cpl	extractionPatterns(kitchenItem, goods such as _ 0.020693513195918195)	0.020693513195918195
uncoupled_cpl	extractionPatterns(kitchenItem, handles of _ 0.018264846916834304)	0.018264846916834304
uncoupled_cpl	extractionPatterns(kitchenItem, heap of _ 0.10665542159080811)	0.10665542159080811
uncoupled_cpl	extractionPatterns(kitchenItem, hundreds of _ 0.1433365381538063)	0.1433365381538063
uncoupled_cpl	extractionPatterns(kitchenItem, ladle into _ 0.021526425619293982)	0.021526425619293982
uncoupled_cpl	extractionPatterns(kitchenItem, large quantities of _ 0.10046126988875366)	0.10046126988875366
uncoupled_cpl	extractionPatterns(kitchenItem, last couple of _ 0.13566400521227745)	0.13566400521227745
uncoupled_cpl	extractionPatterns(kitchenItem, layer of _ 0.1090422344262879)	0.1090422344262879
uncoupled_cpl	extractionPatterns(kitchenItem, length of _ 0.1700727486897791)	0.1700727486897791
uncoupled_cpl	extractionPatterns(kitchenItem, lids on _ 0.018917156828228896)	0.018917156828228896
uncoupled_cpl	extractionPatterns(kitchenItem, limited amount of _ 0.2474293975729365)	0.2474293975729365
uncoupled_cpl	extractionPatterns(kitchenItem, _ made by 0.10288566045825563)	0.10288566045825563
uncoupled_cpl	extractionPatterns(kitchenItem, maximum amount of _ 0.11380828008080585)	0.11380828008080585
uncoupled_cpl	extractionPatterns(kitchenItem, maximum number of _ 0.10832340886434227)	0.10832340886434227
uncoupled_cpl	extractionPatterns(kitchenItem, minimum number of _ 0.11747755322860377)	0.11747755322860377
uncoupled_cpl	extractionPatterns(kitchenItem, own set of _ 0.10389744210460236)	0.10389744210460236
uncoupled_cpl	extractionPatterns(kitchenItem, pack of _ 0.11901556453639085)	0.11901556453639085
uncoupled_cpl	extractionPatterns(kitchenItem, passing of _ 0.13276614588547903)	0.13276614588547903
uncoupled_cpl	extractionPatterns(kitchenItem, period of _ 0.41846333642460476)	0.41846333642460476
uncoupled_cpl	extractionPatterns(kitchenItem, pile of _ 0.12122111552721251)	0.12122111552721251
uncoupled_cpl	extractionPatterns(kitchenItem, piles of _ 0.12160186164337887)	0.12160186164337887
uncoupled_cpl	extractionPatterns(kitchenItem, right amount of _ 0.13510203111082728)	0.13510203111082728
uncoupled_cpl	extractionPatterns(kitchenItem, same number of _ 0.1053177824427124)	0.1053177824427124
uncoupled_cpl	extractionPatterns(kitchenItem, selection of _ 0.09170604320341864)	0.09170604320341864
uncoupled_cpl	extractionPatterns(kitchenItem, series of _ 0.08428857087286826)	0.08428857087286826
uncoupled_cpl	extractionPatterns(kitchenItem, small amount of _ 0.10545415186518112)	0.10545415186518112
uncoupled_cpl	extractionPatterns(kitchenItem, soup into _ 0.10182058348199097)	0.10182058348199097
uncoupled_cpl	extractionPatterns(kitchenItem, space of _ 0.10802787319686549)	0.10802787319686549
uncoupled_cpl	extractionPatterns(kitchenItem, total amount of _ 0.10799071799954615)	0.10799071799954615
uncoupled_cpl	extractionPatterns(kitchenItem, total number of _ 0.1077347598402004)	0.1077347598402004
uncoupled_cpl	extractionPatterns(kitchenItem, variety of _ 0.09844906215962687)	0.09844906215962687
uncoupled_cpl	extractionPatterns(mammal, animals including _ 0.14736835650310837)	0.14736835650310837
uncoupled_cpl	extractionPatterns(mammal, animals , including _ 0.24896598457044403)	0.24896598457044403
uncoupled_cpl	extractionPatterns(mammal, animals like _ 0.06838765179252954)	0.06838765179252954
uncoupled_cpl	extractionPatterns(mammal, animals such as _ 0.12635864834040655)	0.12635864834040655
uncoupled_cpl	extractionPatterns(mammal, animals , such as _ 0.158755181876553)	0.158755181876553
uncoupled_cpl	extractionPatterns(mammal, attraction for _ 0.1071233826458361)	0.1071233826458361
uncoupled_cpl	extractionPatterns(mammal, band of _ 0.08674113982095721)	0.08674113982095721
uncoupled_cpl	extractionPatterns(mammal, breed of _ 0.32111787866712793)	0.32111787866712793
uncoupled_cpl	extractionPatterns(mammal, breeds of _ 0.4014192044870204)	0.4014192044870204
uncoupled_cpl	extractionPatterns(mammal, cancer in _ 0.09393586657906533)	0.09393586657906533
uncoupled_cpl	extractionPatterns(mammal, colonies of _ 0.08447573040625884)	0.08447573040625884
uncoupled_cpl	extractionPatterns(mammal, colony of _ 0.09875137018559522)	0.09875137018559522
uncoupled_cpl	extractionPatterns(mammal, complaints from _ 0.1039733149275497)	0.1039733149275497
uncoupled_cpl	extractionPatterns(mammal, crowd of _ 0.08751203081863804)	0.08751203081863804
uncoupled_cpl	extractionPatterns(mammal, crowds of _ 0.09981897335065767)	0.09981897335065767
uncoupled_cpl	extractionPatterns(mammal, deaths of _ 0.08959471008267472)	0.08959471008267472
uncoupled_cpl	extractionPatterns(mammal, destination for _ 0.09043010926028214)	0.09043010926028214
uncoupled_cpl	extractionPatterns(mammal, difference between _ 0.1307858534317028)	0.1307858534317028
uncoupled_cpl	extractionPatterns(mammal, disease in _ 0.12188966849797202)	0.12188966849797202
uncoupled_cpl	extractionPatterns(mammal, disease of _ 0.08464899863053625)	0.08464899863053625
uncoupled_cpl	extractionPatterns(mammal, diseases in _ 0.11281499661957316)	0.11281499661957316
uncoupled_cpl	extractionPatterns(mammal, diseases of _ 0.08967941710146546)	0.08967941710146546
uncoupled_cpl	extractionPatterns(mammal, extinction of _ 0.09993962753091791)	0.09993962753091791
uncoupled_cpl	extractionPatterns(mammal, _ feeding on 0.08552632976316965)	0.08552632976316965
uncoupled_cpl	extractionPatterns(mammal, flock of _ 0.1316563710978493)	0.1316563710978493
uncoupled_cpl	extractionPatterns(mammal, flocks of _ 0.27949189081280074)	0.27949189081280074
uncoupled_cpl	extractionPatterns(mammal, gang of _ 0.089088769163298)	0.089088769163298
uncoupled_cpl	extractionPatterns(mammal, _ grazing on 0.09253068127510047)	0.09253068127510047
uncoupled_cpl	extractionPatterns(mammal, habitat for _ 0.1488835235322703)	0.1488835235322703
uncoupled_cpl	extractionPatterns(mammal, haven for _ 0.08492548958855764)	0.08492548958855764
uncoupled_cpl	extractionPatterns(mammal, herd of _ 0.06351825081307229)	0.06351825081307229
uncoupled_cpl	extractionPatterns(mammal, herds of _ 0.4510162089965056)	0.4510162089965056
uncoupled_cpl	extractionPatterns(mammal, _ infected with 0.09579986530580456)	0.09579986530580456
uncoupled_cpl	extractionPatterns(mammal, infection in _ 0.09807458679976597)	0.09807458679976597
uncoupled_cpl	extractionPatterns(mammal, infections in _ 0.13343670945977162)	0.13343670945977162
uncoupled_cpl	extractionPatterns(mammal, influx of _ 0.13721599347042718)	0.13721599347042718
uncoupled_cpl	extractionPatterns(mammal, killing of _ 0.09029546872958931)	0.09029546872958931
uncoupled_cpl	extractionPatterns(mammal, large group of _ 0.08514155965836795)	0.08514155965836795
uncoupled_cpl	extractionPatterns(mammal, large numbers of _ 0.09876786304153137)	0.09876786304153137
uncoupled_cpl	extractionPatterns(mammal, many species of _ 0.23648535425686273)	0.23648535425686273
uncoupled_cpl	extractionPatterns(mammal, pack of _ 0.09390440333414914)	0.09390440333414914
uncoupled_cpl	extractionPatterns(mammal, populations of _ 0.10689694921921)	0.10689694921921
uncoupled_cpl	extractionPatterns(mammal, several species of _ 0.10862442378898189)	0.10862442378898189
uncoupled_cpl	extractionPatterns(mammal, shelter for _ 0.08534256034271614)	0.08534256034271614
uncoupled_cpl	extractionPatterns(mammal, slaughter of _ 0.1448499355079821)	0.1448499355079821
uncoupled_cpl	extractionPatterns(mammal, species , including _ 0.10357534086781979)	0.10357534086781979
uncoupled_cpl	extractionPatterns(mammal, species such as _ 0.1114901536559201)	0.1114901536559201
uncoupled_cpl	extractionPatterns(mammal, steady stream of _ 0.09679412293733744)	0.09679412293733744
uncoupled_cpl	extractionPatterns(mammal, swarm of _ 0.13720501663002904)	0.13720501663002904
uncoupled_cpl	extractionPatterns(mammal, variety of _ 0.07306761745843408)	0.07306761745843408
uncoupled_cpl	extractionPatterns(movie, attack on _ 0.03271021056907339)	0.03271021056907339
uncoupled_cpl	extractionPatterns(movie, cult of _ 0.2224203987085457)	0.2224203987085457
uncoupled_cpl	extractionPatterns(movie, desire for _ 0.11904151275771313)	0.11904151275771313
uncoupled_cpl	extractionPatterns(movie, devotees of _ 0.03355706018494752)	0.03355706018494752
uncoupled_cpl	extractionPatterns(movie, _ dressed as 0.06972314153756538)	0.06972314153756538
uncoupled_cpl	extractionPatterns(movie, _ dressed in 0.07723133581259883)	0.07723133581259883
uncoupled_cpl	extractionPatterns(movie, films as _ 0.035051179995691364)	0.035051179995691364
uncoupled_cpl	extractionPatterns(movie, films like _ 0.008381226624175574)	0.008381226624175574
uncoupled_cpl	extractionPatterns(movie, films such as _ 0.006311991765613585)	0.006311991765613585
uncoupled_cpl	extractionPatterns(movie, flow of _ 0.13916499992748868)	0.13916499992748868
uncoupled_cpl	extractionPatterns(movie, generosity of _ 0.16826570021692652)	0.16826570021692652
uncoupled_cpl	extractionPatterns(movie, glory of _ 0.04401631140549477)	0.04401631140549477
uncoupled_cpl	extractionPatterns(movie, god of _ 0.08490884582374053)	0.08490884582374053
uncoupled_cpl	extractionPatterns(movie, great deal of _ 0.10511797375225114)	0.10511797375225114
uncoupled_cpl	extractionPatterns(movie, group of _ 0.0619933597797071)	0.0619933597797071
uncoupled_cpl	extractionPatterns(movie, group of young _ 0.3414124506145084)	0.3414124506145084
uncoupled_cpl	extractionPatterns(movie, hearts of _ 0.14552709351214518)	0.14552709351214518
uncoupled_cpl	extractionPatterns(movie, ideals of _ 0.1283143713491915)	0.1283143713491915
uncoupled_cpl	extractionPatterns(movie, legend of _ 0.03953080648638195)	0.03953080648638195
uncoupled_cpl	extractionPatterns(movie, lives of _ 0.06208815804087758)	0.06208815804087758
uncoupled_cpl	extractionPatterns(movie, _ living with 0.2026982214215549)	0.2026982214215549
uncoupled_cpl	extractionPatterns(movie, lots of _ 0.14986865527126547)	0.14986865527126547
uncoupled_cpl	extractionPatterns(movie, masses of _ 0.20338287349886108)	0.20338287349886108
uncoupled_cpl	extractionPatterns(movie, message of _ 0.036452508594546684)	0.036452508594546684
uncoupled_cpl	extractionPatterns(movie, moment in _ 0.2625922053896735)	0.2625922053896735
uncoupled_cpl	extractionPatterns(movie, moment of _ 0.10820572529151622)	0.10820572529151622
uncoupled_cpl	extractionPatterns(movie, mother in _ 0.20318548457652433)	0.20318548457652433
uncoupled_cpl	extractionPatterns(movie, movie like _ 0.007940444682013166)	0.007940444682013166
uncoupled_cpl	extractionPatterns(movie, numbers of _ 0.1562340618075675)	0.1562340618075675
uncoupled_cpl	extractionPatterns(movie, play of _ 0.0725922581420049)	0.0725922581420049
uncoupled_cpl	extractionPatterns(movie, pool of _ 0.18590211634500242)	0.18590211634500242
uncoupled_cpl	extractionPatterns(movie, race of _ 0.1798546957362645)	0.1798546957362645
uncoupled_cpl	extractionPatterns(movie, remake of _ 0.0403744144633583)	0.0403744144633583
uncoupled_cpl	extractionPatterns(movie, Return of _ 0.2181345946628143)	0.2181345946628143
uncoupled_cpl	extractionPatterns(movie, rights for _ 0.08446153967560535)	0.08446153967560535
uncoupled_cpl	extractionPatterns(movie, rights of _ 0.1601652795075975)	0.1601652795075975
uncoupled_cpl	extractionPatterns(movie, roles of _ 0.0641702224918747)	0.0641702224918747
uncoupled_cpl	extractionPatterns(movie, scene from _ 0.0317973285686491)	0.0317973285686491
uncoupled_cpl	extractionPatterns(movie, souls of _ 0.1889552621770888)	0.1889552621770888
uncoupled_cpl	extractionPatterns(movie, stories for _ 0.06404758219908868)	0.06404758219908868
uncoupled_cpl	extractionPatterns(movie, _ suffering from 0.21095973354442013)	0.21095973354442013
uncoupled_cpl	extractionPatterns(movie, tale of _ 0.032435200848427596)	0.032435200848427596
uncoupled_cpl	extractionPatterns(movie, theme from _ 0.011719982359459206)	0.011719982359459206
uncoupled_cpl	extractionPatterns(movie, toys for _ 0.11063995481746938)	0.11063995481746938
uncoupled_cpl	extractionPatterns(movie, version of _ 0.060810792350347816)	0.060810792350347816
uncoupled_cpl	extractionPatterns(movie, war on _ 0.24501349213865756)	0.24501349213865756
uncoupled_cpl	extractionPatterns(movie, well-being of _ 0.16452100943528497)	0.16452100943528497
uncoupled_cpl	extractionPatterns(movie, _ were killed in 0.2724718426343309)	0.2724718426343309
uncoupled_cpl	extractionPatterns(movie, whole bunch of _ 0.14860477707617706)	0.14860477707617706
uncoupled_cpl	extractionPatterns(movie, work of _ 0.10049091033512172)	0.10049091033512172
uncoupled_cpl	extractionPatterns(newspaperCompany, affairs in _ 0.15007966888249658)	0.15007966888249658
uncoupled_cpl	extractionPatterns(newspaperCompany, article appeared in _ 0.18506725119281925)	0.18506725119281925
uncoupled_cpl	extractionPatterns(newspaperCompany, article from _ 0.15793985231238122)	0.15793985231238122
uncoupled_cpl	extractionPatterns(newspaperCompany, article of _ 0.1489195577049241)	0.1489195577049241
uncoupled_cpl	extractionPatterns(newspaperCompany, articles have appeared in _ 0.21210369426515138)	0.21210369426515138
uncoupled_cpl	extractionPatterns(newspaperCompany, column in _ 0.12752714947407034)	0.12752714947407034
uncoupled_cpl	extractionPatterns(newspaperCompany, columnist at _ 0.2605303285993204)	0.2605303285993204
uncoupled_cpl	extractionPatterns(newspaperCompany, columnist for _ 0.2678374533039536)	0.2678374533039536
uncoupled_cpl	extractionPatterns(newspaperCompany, coverage in _ 0.7725117963274737)	0.7725117963274737
uncoupled_cpl	extractionPatterns(newspaperCompany, critic for _ 0.3090173051286341)	0.3090173051286341
uncoupled_cpl	extractionPatterns(newspaperCompany, editor at _ 0.17595095280957868)	0.17595095280957868
uncoupled_cpl	extractionPatterns(newspaperCompany, editorial in _ 0.22263224375035645)	0.22263224375035645
uncoupled_cpl	extractionPatterns(newspaperCompany, editorial page of _ 0.3198529244294232)	0.3198529244294232
uncoupled_cpl	extractionPatterns(newspaperCompany, foreign correspondent for _ 0.2949439325082327)	0.2949439325082327
uncoupled_cpl	extractionPatterns(newspaperCompany, front page of _ 0.14889871042618896)	0.14889871042618896
uncoupled_cpl	extractionPatterns(newspaperCompany, full-page ad in _ 0.2589531815083078)	0.2589531815083078
uncoupled_cpl	extractionPatterns(newspaperCompany, _ has an article 0.18406321879054102)	0.18406321879054102
uncoupled_cpl	extractionPatterns(newspaperCompany, last week in _ 0.13382169492500115)	0.13382169492500115
uncoupled_cpl	extractionPatterns(newspaperCompany, life on _ 0.13340735661262204)	0.13340735661262204
uncoupled_cpl	extractionPatterns(newspaperCompany, magazines such as _ 0.1917904325896207)	0.1917904325896207
uncoupled_cpl	extractionPatterns(newspaperCompany, matters of _ 0.135986046197357)	0.135986046197357
uncoupled_cpl	extractionPatterns(newspaperCompany, moment in _ 0.2500678494854125)	0.2500678494854125
uncoupled_cpl	extractionPatterns(newspaperCompany, mother in _ 0.2119152178711199)	0.2119152178711199
uncoupled_cpl	extractionPatterns(newspaperCompany, newspapers including _ 0.4179894859514185)	0.4179894859514185
uncoupled_cpl	extractionPatterns(newspaperCompany, op-ed piece in _ 0.3500000435745399)	0.3500000435745399
uncoupled_cpl	extractionPatterns(newspaperCompany, period of _ 0.4188585523267461)	0.4188585523267461
uncoupled_cpl	extractionPatterns(newspaperCompany, point in _ 0.1534318169326573)	0.1534318169326573
uncoupled_cpl	extractionPatterns(newspaperCompany, publications , including _ 0.1925448818427946)	0.1925448818427946
uncoupled_cpl	extractionPatterns(newspaperCompany, publications including _ 0.2122849081873851)	0.2122849081873851
uncoupled_cpl	extractionPatterns(newspaperCompany, publications like _ 0.21144105903924187)	0.21144105903924187
uncoupled_cpl	extractionPatterns(newspaperCompany, publications such as _ 0.22385158806360522)	0.22385158806360522
uncoupled_cpl	extractionPatterns(newspaperCompany, publisher of _ 0.13704334723825592)	0.13704334723825592
uncoupled_cpl	extractionPatterns(newspaperCompany, recent article in _ 0.289576722444634)	0.289576722444634
uncoupled_cpl	extractionPatterns(newspaperCompany, _ related issues 0.1285389895560442)	0.1285389895560442
uncoupled_cpl	extractionPatterns(newspaperCompany, reporter at _ 0.20054692895445023)	0.20054692895445023
uncoupled_cpl	extractionPatterns(newspaperCompany, reporter for _ 0.2103393710612565)	0.2103393710612565
uncoupled_cpl	extractionPatterns(newspaperCompany, reporter from _ 0.19999998248682085)	0.19999998248682085
uncoupled_cpl	extractionPatterns(newspaperCompany, report in _ 0.16410382043787908)	0.16410382043787908
uncoupled_cpl	extractionPatterns(newspaperCompany, _ reports today 0.37684210458253814)	0.37684210458253814
uncoupled_cpl	extractionPatterns(newspaperCompany, review in _ 0.14142496291171125)	0.14142496291171125
uncoupled_cpl	extractionPatterns(newspaperCompany, statement in _ 0.19100111753195118)	0.19100111753195118
uncoupled_cpl	extractionPatterns(newspaperCompany, study published in _ 0.2559559294264841)	0.2559559294264841
uncoupled_cpl	extractionPatterns(newspaperCompany, such publications as _ 0.27659581223896107)	0.27659581223896107
uncoupled_cpl	extractionPatterns(newspaperCompany, Sunday edition of _ 0.2830881346399375)	0.2830881346399375
uncoupled_cpl	extractionPatterns(newspaperCompany, tone of _ 0.16554271844155025)	0.16554271844155025
uncoupled_cpl	extractionPatterns(newspaperCompany, version of _ 0.5165878075161991)	0.5165878075161991
uncoupled_cpl	extractionPatterns(newspaperCompany, weekend in _ 0.15037772251699694)	0.15037772251699694
uncoupled_cpl	extractionPatterns(newspaperCompany, work has appeared in _ 0.19346435410381485)	0.19346435410381485
uncoupled_cpl	extractionPatterns(newspaperCompany, writer at _ 0.16985145806244442)	0.16985145806244442
uncoupled_cpl	extractionPatterns(newspaperCompany, writer for _ 0.14223822303758063)	0.14223822303758063
uncoupled_cpl	extractionPatterns(politician, _ appointed by 0.11611780997721335)	0.11611780997721335
uncoupled_cpl	extractionPatterns(politician, assassination of _ 0.09987888270567728)	0.09987888270567728
uncoupled_cpl	extractionPatterns(politician, _ became president 0.12020604102890015)	0.12020604102890015
uncoupled_cpl	extractionPatterns(politician, calls from _ 0.0837401271501706)	0.0837401271501706
uncoupled_cpl	extractionPatterns(politician, candidacy of _ 0.06955044238201916)	0.06955044238201916
uncoupled_cpl	extractionPatterns(politician, conversations with _ 0.09199877658597944)	0.09199877658597944
uncoupled_cpl	extractionPatterns(politician, crowd of _ 0.19816782624615578)	0.19816782624615578
uncoupled_cpl	extractionPatterns(politician, difference between _ 0.2820386953230087)	0.2820386953230087
uncoupled_cpl	extractionPatterns(politician, _ elected by 0.11969708730569799)	0.11969708730569799
uncoupled_cpl	extractionPatterns(politician, election for _ 0.07770505234323714)	0.07770505234323714
uncoupled_cpl	extractionPatterns(politician, election of _ 0.07661043380178374)	0.07661043380178374
uncoupled_cpl	extractionPatterns(politician, _ enrolled in 0.23744601182020747)	0.23744601182020747
uncoupled_cpl	extractionPatterns(politician, fact , many _ 0.1913052421769475)	0.1913052421769475
uncoupled_cpl	extractionPatterns(politician, _ gets the nomination 0.1468216050889865)	0.1468216050889865
uncoupled_cpl	extractionPatterns(politician, _ has called for 0.08132319514362088)	0.08132319514362088
uncoupled_cpl	extractionPatterns(politician, impeachment of _ 0.4077671411431661)	0.4077671411431661
uncoupled_cpl	extractionPatterns(politician, _ is a vote 0.11504648671435645)	0.11504648671435645
uncoupled_cpl	extractionPatterns(politician, _ is the candidate 0.03495310405790013)	0.03495310405790013
uncoupled_cpl	extractionPatterns(politician, _ is the Democratic nominee 0.027950309670415233)	0.027950309670415233
uncoupled_cpl	extractionPatterns(politician, _ is the nominee 0.30097080869980486)	0.30097080869980486
uncoupled_cpl	extractionPatterns(politician, _ is the only candidate 0.20716369523421924)	0.20716369523421924
uncoupled_cpl	extractionPatterns(politician, large group of _ 0.3350200158955592)	0.3350200158955592
uncoupled_cpl	extractionPatterns(politician, law by _ 0.09862603554979928)	0.09862603554979928
uncoupled_cpl	extractionPatterns(politician, lead over _ 0.1699605377093406)	0.1699605377093406
uncoupled_cpl	extractionPatterns(politician, _ left office 0.08413185571116141)	0.08413185571116141
uncoupled_cpl	extractionPatterns(politician, lives of _ 0.21699412490037726)	0.21699412490037726
uncoupled_cpl	extractionPatterns(politician, _ living in 0.08211291226848161)	0.08211291226848161
uncoupled_cpl	extractionPatterns(politician, _ living with 0.17864940947567312)	0.17864940947567312
uncoupled_cpl	extractionPatterns(politician, millions of _ 0.15593999393404065)	0.15593999393404065
uncoupled_cpl	extractionPatterns(politician, numbers of _ 0.09746899027773034)	0.09746899027773034
uncoupled_cpl	extractionPatterns(politician, parents of _ 0.18346176469199632)	0.18346176469199632
uncoupled_cpl	extractionPatterns(politician, positions of _ 0.10384021038279004)	0.10384021038279004
uncoupled_cpl	extractionPatterns(politician, presidency of _ 0.10824414514311487)	0.10824414514311487
uncoupled_cpl	extractionPatterns(politician, race between _ 0.14467810063870487)	0.14467810063870487
uncoupled_cpl	extractionPatterns(politician, _ signed into 0.1314815159976107)	0.1314815159976107
uncoupled_cpl	extractionPatterns(politician, term as _ 0.1443324441918983)	0.1443324441918983
uncoupled_cpl	extractionPatterns(politician, thousands of other _ 0.18760042067659005)	0.18760042067659005
uncoupled_cpl	extractionPatterns(politician, _ took office 0.23208606645762458)	0.23208606645762458
uncoupled_cpl	extractionPatterns(politician, version of _ 0.027950309670415233)	0.027950309670415233
uncoupled_cpl	extractionPatterns(politician, _ voted against 0.08144144363288805)	0.08144144363288805
uncoupled_cpl	extractionPatterns(politician, _ voted in 0.08410788154876411)	0.08410788154876411
uncoupled_cpl	extractionPatterns(politician, vote for _ 0.13749853726566316)	0.13749853726566316
uncoupled_cpl	extractionPatterns(politician, votes for _ 0.09803379625667849)	0.09803379625667849
uncoupled_cpl	extractionPatterns(politician, votes from _ 0.08144885514147718)	0.08144885514147718
uncoupled_cpl	extractionPatterns(politician, voting for _ 0.11650489379903217)	0.11650489379903217
uncoupled_cpl	extractionPatterns(politician, _ was president 0.1013302798254016)	0.1013302798254016
uncoupled_cpl	extractionPatterns(politician, well-being of _ 0.175915590222123)	0.175915590222123
uncoupled_cpl	extractionPatterns(politician, _ were killed in 0.21435087582263193)	0.21435087582263193
uncoupled_cpl	extractionPatterns(politician, _ wins the Democratic nomination 0.026915121843652256)	0.026915121843652256
uncoupled_cpl	extractionPatterns(politician, _ wins the nomination 0.22038836356261915)	0.22038836356261915
uncoupled_cpl	extractionPatterns(producesProduct, arg1 cut the price of arg2 0.0010207557445568688)	0.0010207557445568688
uncoupled_cpl	extractionPatterns(producesProduct, arg1 has done with arg2 0.010962236040251967)	0.010962236040251967
uncoupled_cpl	extractionPatterns(producesProduct, arg1 has released a new arg2 0.0014970062478093726)	0.0014970062478093726
uncoupled_cpl	extractionPatterns(producesProduct, arg1 introduced its arg2 0.0018712567781109784)	0.0018712567781109784
uncoupled_cpl	extractionPatterns(producesProduct, arg1 is doing with arg2 0.012180268166362765)	0.012180268166362765
uncoupled_cpl	extractionPatterns(producesProduct, arg1 launched its arg2 9.088840769745457E-4)	9.088840769745457E-4
uncoupled_cpl	extractionPatterns(producesProduct, arg1 launched the new arg2 7.759961493276531E-4)	7.759961493276531E-4
uncoupled_cpl	extractionPatterns(producesProduct, arg1 launches the arg2 0.0017012585130739145)	0.0017012585130739145
uncoupled_cpl	extractionPatterns(producesProduct, arg1 Office applications like arg2 0.022540986605743118)	0.022540986605743118
uncoupled_cpl	extractionPatterns(producesProduct, arg1 products like arg2 9.000898196576524E-4)	9.000898196576524E-4
uncoupled_cpl	extractionPatterns(producesProduct, arg1 Reader and arg2 0.020291686679281915)	0.020291686679281915
uncoupled_cpl	extractionPatterns(producesProduct, arg1 Reader from arg2 0.025761117434972287)	0.025761117434972287
uncoupled_cpl	extractionPatterns(producesProduct, arg1 released a new version of arg2 0.013398292573927868)	0.013398292573927868
uncoupled_cpl	extractionPatterns(producesProduct, arg1 released the arg2 0.0012288788860495207)	0.0012288788860495207
uncoupled_cpl	extractionPatterns(producesProduct, arg1 released the first arg2 0.006090135182815755)	0.006090135182815755
uncoupled_cpl	extractionPatterns(producesProduct, arg1 unveils arg2 0.0016761647202156494)	0.0016761647202156494
uncoupled_cpl	extractionPatterns(producesProduct, arg1 website to download arg2 0.025242706915786305)	0.025242706915786305
uncoupled_cpl	extractionPatterns(producesProduct, arg1 will release arg2 0.0010893250442489833)	0.0010893250442489833
uncoupled_cpl	extractionPatterns(producesProduct, arg2 Acrobat Reader from arg1 0.11844660626391447)	0.11844660626391447
uncoupled_cpl	extractionPatterns(producesProduct, arg2 are registered trademarks of arg1 9.267840271159735E-4)	9.267840271159735E-4
uncoupled_cpl	extractionPatterns(producesProduct, arg2 are trademarks of arg1 0.002126980309950245)	0.002126980309950245
uncoupled_cpl	extractionPatterns(producesProduct, arg2 division at arg1 0.0014970062478093726)	0.0014970062478093726
uncoupled_cpl	extractionPatterns(producesProduct, arg2 is a free download from arg1 0.03883493697513843)	0.03883493697513843
uncoupled_cpl	extractionPatterns(producesProduct, arg2 is a registered trademark of arg1 0.009848698150450337)	0.009848698150450337
uncoupled_cpl	extractionPatterns(producesProduct, arg2 is a trademark of arg1 0.006570108054299065)	0.006570108054299065
uncoupled_cpl	extractionPatterns(producesProduct, arg2 is available for free from arg1 0.04271846571013873)	0.04271846571013873
uncoupled_cpl	extractionPatterns(producesProduct, arg2 is available free from arg1 0.019047622278049382)	0.019047622278049382
uncoupled_cpl	extractionPatterns(producesProduct, arg2 logo are registered trademarks of arg1 0.03007518096547038)	0.03007518096547038
uncoupled_cpl	extractionPatterns(producesProduct, arg2 Logo are trademarks of arg1 0.01714285174723635)	0.01714285174723635
uncoupled_cpl	extractionPatterns(producesProduct, arg2 logo are trademarks of arg1 0.021459217620852053)	0.021459217620852053
uncoupled_cpl	extractionPatterns(producesProduct, arg2 logos are trademarks of arg1 0.019047622278049382)	0.019047622278049382
uncoupled_cpl	extractionPatterns(producesProduct, arg2 Player from arg1 0.03476483123132379)	0.03476483123132379
uncoupled_cpl	extractionPatterns(producesProduct, arg2 plugin from arg1 0.02663934555141588)	0.02663934555141588
uncoupled_cpl	extractionPatterns(producesProduct, arg2 Reader are trademarks of arg1 0.034836067726532506)	0.034836067726532506
uncoupled_cpl	extractionPatterns(producesProduct, arg2 reader available from arg1 0.019047622278049382)	0.019047622278049382
uncoupled_cpl	extractionPatterns(producesProduct, arg2 Reader available from arg1 0.036809806070383186)	0.036809806070383186
uncoupled_cpl	extractionPatterns(producesProduct, arg2 Reader by arg1 0.03067485547155532)	0.03067485547155532
uncoupled_cpl	extractionPatterns(producesProduct, arg2 Reader can be downloaded from arg1 0.049079737871263046)	0.049079737871263046
uncoupled_cpl	extractionPatterns(producesProduct, arg2 Reader free from arg1 0.034836067726532506)	0.034836067726532506
uncoupled_cpl	extractionPatterns(producesProduct, arg2 reader from arg1 0.1444200805804759)	0.1444200805804759
uncoupled_cpl	extractionPatterns(producesProduct, arg2 Reader from arg1 0.4086652163742116)	0.4086652163742116
uncoupled_cpl	extractionPatterns(producesProduct, arg2 Reader is available free from arg1 0.054704571445629)	0.054704571445629
uncoupled_cpl	extractionPatterns(producesProduct, arg2 Reader is available from arg1 0.054704571445629)	0.054704571445629
uncoupled_cpl	extractionPatterns(producesProduct, arg2 Reader software from arg1 0.091903699014565)	0.091903699014565
uncoupled_cpl	extractionPatterns(producesProduct, arg2 SDK from arg1 0.0020415111204985675)	0.0020415111204985675
uncoupled_cpl	extractionPatterns(producesProduct, arg2 Store are trademarks of arg1 0.022857134006941678)	0.022857134006941678
uncoupled_cpl	extractionPatterns(producesProduct, arg2 video game system from arg1 0.002994011955020061)	0.002994011955020061
uncoupled_cpl	extractionPatterns(producesProduct, arg2 viewer from arg1 0.01201716781921339)	0.01201716781921339
uncoupled_cpl	extractionPatterns(producesProduct, arg2 Viewer from arg1 0.0154506377217741)	0.0154506377217741
uncoupled_cpl	extractionPatterns(producesProduct, arg2 which is available free from arg1 0.02330097671943536)	0.02330097671943536
uncoupled_cpl	extractionPatterns(product, account in _ 0.13166321740714884)	0.13166321740714884
uncoupled_cpl	extractionPatterns(product, amounts of _ 0.14462038559146764)	0.14462038559146764
uncoupled_cpl	extractionPatterns(product, applications like _ 0.063607493070619)	0.063607493070619
uncoupled_cpl	extractionPatterns(product, applications such as _ 0.08226652480771321)	0.08226652480771321
uncoupled_cpl	extractionPatterns(product, _ based applications 0.14516721414312359)	0.14516721414312359
uncoupled_cpl	extractionPatterns(product, bottle of _ 0.17989013060154418)	0.17989013060154418
uncoupled_cpl	extractionPatterns(product, bottles of _ 0.1613142424269122)	0.1613142424269122
uncoupled_cpl	extractionPatterns(product, companies like _ 0.10015683215259291)	0.10015683215259291
uncoupled_cpl	extractionPatterns(product, companies such as _ 0.08655467359768082)	0.08655467359768082
uncoupled_cpl	extractionPatterns(product, deal of _ 0.13061359122261226)	0.13061359122261226
uncoupled_cpl	extractionPatterns(product, drops of _ 0.17689463608704387)	0.17689463608704387
uncoupled_cpl	extractionPatterns(product, emails from _ 0.15297695344716208)	0.15297695344716208
uncoupled_cpl	extractionPatterns(product, fair amount of _ 0.1594314866219883)	0.1594314866219883
uncoupled_cpl	extractionPatterns(product, free copy of _ 0.15797776242596784)	0.15797776242596784
uncoupled_cpl	extractionPatterns(product, games for _ 0.1352615456025792)	0.1352615456025792
uncoupled_cpl	extractionPatterns(product, _ installed on 0.14105660715313267)	0.14105660715313267
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 as a foreign arg2 0.2578797211131732)	0.2578797211131732
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 as a second arg2 0.37902352673818096)	0.37902352673818096
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 as its official arg2 0.09916203992217239)	0.09916203992217239
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 as their first arg2 0.0835184260677195)	0.0835184260677195
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 as their native arg2 0.10626705143071614)	0.10626705143071614
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 as their second arg2 0.12876052438280275)	0.12876052438280275
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 as the official arg2 0.09079600428635953)	0.09079600428635953
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 as the state arg2 0.10074628019282247)	0.10074628019282247
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 became the official arg2 0.14560773785837222)	0.14560773785837222
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 became the state arg2 0.08991828190029519)	0.08991828190029519
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 brand arg2 1.1055095633468991E-4)	1.1055095633468991E-4
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 is a foreign arg2 0.061120558280200764)	0.061120558280200764
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 is a peaceful arg2 0.088210347875474)	0.088210347875474
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 is my second arg2 0.10642380456320251)	0.10642380456320251
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 is not my first arg2 0.13477736635229834)	0.13477736635229834
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 is not the first arg2 0.05976733528244702)	0.05976733528244702
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 is not their native arg2 0.09683604386779579)	0.09683604386779579
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 is not the native arg2 0.13477736635229834)	0.13477736635229834
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 is the default arg2 0.0379358387594098)	0.0379358387594098
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 is their second arg2 0.10195527930767781)	0.10195527930767781
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 is the most popular arg2 6.633061517558301E-5)	6.633061517558301E-5
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 is the native arg2 0.09204221025806826)	0.09204221025806826
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 is the official arg2 0.08117808154211406)	0.08117808154211406
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 is your second arg2 0.12876052438280275)	0.12876052438280275
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 or Firefox arg2 0.03740877411765791)	0.03740877411765791
uncoupled_cpl	extractionPatterns(productInstanceOf, arg1 the official arg2 0.08909758938803908)	0.08909758938803908
uncoupled_cpl	extractionPatterns(productInstanceOf, arg2 address from arg1 0.09552846624952446)	0.09552846624952446
uncoupled_cpl	extractionPatterns(productInstanceOf, arg2 applications such as arg1 0.001227181748421219)	0.001227181748421219
uncoupled_cpl	extractionPatterns(productInstanceOf, arg2 browser like arg1 0.08667879535694656)	0.08667879535694656
uncoupled_cpl	extractionPatterns(productInstanceOf, arg2 browsers like arg1 0.10474860894807995)	0.10474860894807995
uncoupled_cpl	extractionPatterns(productInstanceOf, arg2 browsers such as arg1 0.1677853156170091)	0.1677853156170091
uncoupled_cpl	extractionPatterns(productInstanceOf, arg2 browser such as arg1 0.16684600795874363)	0.16684600795874363
uncoupled_cpl	extractionPatterns(productInstanceOf, arg2 client like arg1 0.20941172265438693)	0.20941172265438693
uncoupled_cpl	extractionPatterns(productInstanceOf, arg2 clients like arg1 0.057169656621217944)	0.057169656621217944
uncoupled_cpl	extractionPatterns(productInstanceOf, arg2 clients such as arg1 0.13946996577567486)	0.13946996577567486
uncoupled_cpl	extractionPatterns(productInstanceOf, arg2 client such as arg1 0.3281596668055603)	0.3281596668055603
uncoupled_cpl	extractionPatterns(productInstanceOf, arg2 editor like arg1 0.15148616171800128)	0.15148616171800128
uncoupled_cpl	extractionPatterns(productInstanceOf, arg2 editor such as arg1 0.2291466700225836)	0.2291466700225836
uncoupled_cpl	extractionPatterns(productInstanceOf, arg2 packages such as arg1 0.001533977873800443)	0.001533977873800443
uncoupled_cpl	extractionPatterns(productInstanceOf, arg2 program arg1 5.5589901550135814E-5)	5.5589901550135814E-5
uncoupled_cpl	extractionPatterns(productInstanceOf, arg2 program like arg1 0.0860465371014112)	0.0860465371014112
uncoupled_cpl	extractionPatterns(productInstanceOf, arg2 programs like arg1 0.002454363053682738)	0.002454363053682738
uncoupled_cpl	extractionPatterns(productInstanceOf, arg2 programs such as arg1 0.0029956441362645357)	0.0029956441362645357
uncoupled_cpl	extractionPatterns(productInstanceOf, arg2 programs such as Microsoft arg1 0.050182495917111436)	0.050182495917111436
uncoupled_cpl	extractionPatterns(productInstanceOf, arg2 program such as arg1 0.1005709329445217)	0.1005709329445217
uncoupled_cpl	extractionPatterns(productInstanceOf, arg2 program such as Microsoft arg1 0.1623528866790065)	0.1623528866790065
uncoupled_cpl	extractionPatterns(productInstanceOf, arg2 similar to arg1 5.163158295219011E-5)	5.163158295219011E-5
uncoupled_cpl	extractionPatterns(productInstanceOf, arg2 such as MS arg1 0.03923359044527536)	0.03923359044527536
uncoupled_cpl	extractionPatterns(productInstanceOf, arg2 that competes with arg1 6.135909850005543E-4)	6.135909850005543E-4
uncoupled_cpl	extractionPatterns(productInstanceOf, arg2 to compete with arg1 6.633061517558301E-5)	6.633061517558301E-5
uncoupled_cpl	extractionPatterns(product, integration with _ 0.12314583198681474)	0.12314583198681474
uncoupled_cpl	extractionPatterns(product, lawsuit against _ 0.11533330941234007)	0.11533330941234007
uncoupled_cpl	extractionPatterns(product, millions of _ 0.16959992463390383)	0.16959992463390383
uncoupled_cpl	extractionPatterns(product, module for _ 0.3678581047826157)	0.3678581047826157
uncoupled_cpl	extractionPatterns(product, movement in _ 0.1282520257159318)	0.1282520257159318
uncoupled_cpl	extractionPatterns(product, older versions of _ 0.11183809879170371)	0.11183809879170371
uncoupled_cpl	extractionPatterns(product, _ operating system 0.13194580617217705)	0.13194580617217705
uncoupled_cpl	extractionPatterns(product, period of _ 0.42014096208582274)	0.42014096208582274
uncoupled_cpl	extractionPatterns(product, philosophy of _ 0.1116533831239603)	0.1116533831239603
uncoupled_cpl	extractionPatterns(product, plug-in for _ 0.11689911279129772)	0.11689911279129772
uncoupled_cpl	extractionPatterns(product, plugin for _ 0.14213726974188481)	0.14213726974188481
uncoupled_cpl	extractionPatterns(product, proficiency in _ 0.12346408190402079)	0.12346408190402079
uncoupled_cpl	extractionPatterns(product, program like _ 0.03474151185409357)	0.03474151185409357
uncoupled_cpl	extractionPatterns(product, programs for _ 0.13087586505931312)	0.13087586505931312
uncoupled_cpl	extractionPatterns(product, programs like _ 0.022199711182185406)	0.022199711182185406
uncoupled_cpl	extractionPatterns(product, programs such as _ 0.06827606589183732)	0.06827606589183732
uncoupled_cpl	extractionPatterns(product, program such as _ 0.02682046670232973)	0.02682046670232973
uncoupled_cpl	extractionPatterns(product, quantities of _ 0.12995396586092273)	0.12995396586092273
uncoupled_cpl	extractionPatterns(product, services like _ 0.12477302403213816)	0.12477302403213816
uncoupled_cpl	extractionPatterns(product, services such as _ 0.14134437365297225)	0.14134437365297225
uncoupled_cpl	extractionPatterns(product, sites like _ 0.16374875623615803)	0.16374875623615803
uncoupled_cpl	extractionPatterns(product, sites such as _ 0.1616894110016584)	0.1616894110016584
uncoupled_cpl	extractionPatterns(product, software like _ 0.12270084997839283)	0.12270084997839283
uncoupled_cpl	extractionPatterns(product, software such as _ 0.03488047715961833)	0.03488047715961833
uncoupled_cpl	extractionPatterns(product, supply of _ 0.11294537321866091)	0.11294537321866091
uncoupled_cpl	extractionPatterns(product, systems such as _ 0.1261345606762389)	0.1261345606762389
uncoupled_cpl	extractionPatterns(product, teachers of _ 0.11073846820921356)	0.11073846820921356
uncoupled_cpl	extractionPatterns(product, term in _ 0.12657427360412857)	0.12657427360412857
uncoupled_cpl	extractionPatterns(product, test of _ 0.21476733491540306)	0.21476733491540306
uncoupled_cpl	extractionPatterns(product, tons of _ 0.12221017140358378)	0.12221017140358378
uncoupled_cpl	extractionPatterns(productType, bags of _ 0.25901792789664624)	0.25901792789664624
uncoupled_cpl	extractionPatterns(productType, ball of _ 0.261626857077345)	0.261626857077345
uncoupled_cpl	extractionPatterns(productType, bits of _ 0.28807137491064805)	0.28807137491064805
uncoupled_cpl	extractionPatterns(productType, bottle of _ 0.28131928756990743)	0.28131928756990743
uncoupled_cpl	extractionPatterns(productType, bottles of _ 0.29080626195768244)	0.29080626195768244
uncoupled_cpl	extractionPatterns(productType, bucket of _ 0.24065064572089223)	0.24065064572089223
uncoupled_cpl	extractionPatterns(productType, chunks of _ 0.2604102517976654)	0.2604102517976654
uncoupled_cpl	extractionPatterns(productType, _ collected from 0.26430619985610737)	0.26430619985610737
uncoupled_cpl	extractionPatterns(productType, considerable amount of _ 0.2808599872046093)	0.2808599872046093
uncoupled_cpl	extractionPatterns(productType, consumption of _ 0.2598252472255932)	0.2598252472255932
uncoupled_cpl	extractionPatterns(productType, _ contained within 0.27014025281050735)	0.27014025281050735
uncoupled_cpl	extractionPatterns(productType, cup of _ 0.4420686907687902)	0.4420686907687902
uncoupled_cpl	extractionPatterns(productType, drop of _ 0.25534390381839517)	0.25534390381839517
uncoupled_cpl	extractionPatterns(productType, drops of _ 0.2657540558436908)	0.2657540558436908
uncoupled_cpl	extractionPatterns(productType, exchange of _ 0.44343324817657565)	0.44343324817657565
uncoupled_cpl	extractionPatterns(productType, flow of _ 0.26662796013800666)	0.26662796013800666
uncoupled_cpl	extractionPatterns(productType, hands with _ 0.05409995093833908)	0.05409995093833908
uncoupled_cpl	extractionPatterns(productType, huge amount of _ 0.26372220068323377)	0.26372220068323377
uncoupled_cpl	extractionPatterns(productType, important source of _ 0.25765211382283754)	0.25765211382283754
uncoupled_cpl	extractionPatterns(productType, large amount of _ 0.2606017236900373)	0.2606017236900373
uncoupled_cpl	extractionPatterns(productType, large amounts of _ 0.27759029814655695)	0.27759029814655695
uncoupled_cpl	extractionPatterns(productType, layer of _ 0.2612091112275658)	0.2612091112275658
uncoupled_cpl	extractionPatterns(productType, limited amount of _ 0.28266862607874965)	0.28266862607874965
uncoupled_cpl	extractionPatterns(productType, main source of _ 0.2771260007128358)	0.2771260007128358
uncoupled_cpl	extractionPatterns(productType, major source of _ 0.2567362463154328)	0.2567362463154328
uncoupled_cpl	extractionPatterns(productType, materials such as _ 0.26676264126199795)	0.26676264126199795
uncoupled_cpl	extractionPatterns(productType, other sources of _ 0.3616237399870863)	0.3616237399870863
uncoupled_cpl	extractionPatterns(productType, period of _ 0.425851749137773)	0.425851749137773
uncoupled_cpl	extractionPatterns(productType, piece of _ 0.033718824738492324)	0.033718824738492324
uncoupled_cpl	extractionPatterns(productType, pile of _ 0.25891149340206754)	0.25891149340206754
uncoupled_cpl	extractionPatterns(productType, piles of _ 0.2695964682480315)	0.2695964682480315
uncoupled_cpl	extractionPatterns(productType, pot of _ 0.42328312398142454)	0.42328312398142454
uncoupled_cpl	extractionPatterns(productType, primary source of _ 0.2638854952599141)	0.2638854952599141
uncoupled_cpl	extractionPatterns(productType, quantities of _ 0.27337439857161705)	0.27337439857161705
uncoupled_cpl	extractionPatterns(productType, right amount of _ 0.2619334015737563)	0.2619334015737563
uncoupled_cpl	extractionPatterns(productType, same amount of _ 0.3107131934046912)	0.3107131934046912
uncoupled_cpl	extractionPatterns(productType, scraps of _ 0.2724075468666682)	0.2724075468666682
uncoupled_cpl	extractionPatterns(productType, selection of _ 0.04161668959431279)	0.04161668959431279
uncoupled_cpl	extractionPatterns(productType, sheet of _ 0.46242079072231224)	0.46242079072231224
uncoupled_cpl	extractionPatterns(productType, significant amount of _ 0.26881039478653235)	0.26881039478653235
uncoupled_cpl	extractionPatterns(productType, small amount of _ 0.27234163221632085)	0.27234163221632085
uncoupled_cpl	extractionPatterns(productType, small amounts of _ 0.2726770911982207)	0.2726770911982207
uncoupled_cpl	extractionPatterns(productType, stack of _ 0.26235335517609876)	0.26235335517609876
uncoupled_cpl	extractionPatterns(productType, streams of _ 0.26532414813147764)	0.26532414813147764
uncoupled_cpl	extractionPatterns(productType, strip of _ 0.2578173217712887)	0.2578173217712887
uncoupled_cpl	extractionPatterns(productType, suite of _ 0.26941158849182006)	0.26941158849182006
uncoupled_cpl	extractionPatterns(productType, variety of _ 0.09828498600150189)	0.09828498600150189
uncoupled_cpl	extractionPatterns(productType, version of _ 0.06662269458144257)	0.06662269458144257
uncoupled_cpl	extractionPatterns(productType, waste of _ 0.5371338287354763)	0.5371338287354763
uncoupled_cpl	extractionPatterns(productType, wealth of _ 0.29479178069760154)	0.29479178069760154
uncoupled_cpl	extractionPatterns(product, users have _ 0.11359508948429674)	0.11359508948429674
uncoupled_cpl	extractionPatterns(product, version of _ 0.2537519662215008)	0.2537519662215008
uncoupled_cpl	extractionPatterns(product, videos on _ 0.20069980395229056)	0.20069980395229056
uncoupled_cpl	extractionPatterns(product, war between _ 0.1285261362997621)	0.1285261362997621
uncoupled_cpl	extractionPatterns(professionalOrganization, annual conference of _ 0.1820496184892642)	0.1820496184892642
uncoupled_cpl	extractionPatterns(professionalOrganization, annual meeting of _ 0.21799198127756497)	0.21799198127756497
uncoupled_cpl	extractionPatterns(professionalOrganization, _ appointed by 0.13790544635536825)	0.13790544635536825
uncoupled_cpl	extractionPatterns(professionalOrganization, approval by _ 0.13446235602086098)	0.13446235602086098
uncoupled_cpl	extractionPatterns(professionalOrganization, _ are appointed by 0.15779445667337083)	0.15779445667337083
uncoupled_cpl	extractionPatterns(professionalOrganization, _ are elected by 0.14174522826137104)	0.14174522826137104
uncoupled_cpl	extractionPatterns(professionalOrganization, boards of _ 0.25520962824255905)	0.25520962824255905
uncoupled_cpl	extractionPatterns(professionalOrganization, Bylaws of _ 0.1368518944954654)	0.1368518944954654
uncoupled_cpl	extractionPatterns(professionalOrganization, committees of _ 0.1497828051302094)	0.1497828051302094
uncoupled_cpl	extractionPatterns(professionalOrganization, consideration by _ 0.13502909570835842)	0.13502909570835842
uncoupled_cpl	extractionPatterns(professionalOrganization, council of _ 0.13958228430026498)	0.13958228430026498
uncoupled_cpl	extractionPatterns(professionalOrganization, courses offered by _ 0.1597730353301307)	0.1597730353301307
uncoupled_cpl	extractionPatterns(professionalOrganization, delegation of _ 0.14300381081805535)	0.14300381081805535
uncoupled_cpl	extractionPatterns(professionalOrganization, editorial board of _ 0.1309170974505675)	0.1309170974505675
uncoupled_cpl	extractionPatterns(professionalOrganization, education of _ 0.14763238209365542)	0.14763238209365542
uncoupled_cpl	extractionPatterns(professionalOrganization, emails from _ 0.13847257325560905)	0.13847257325560905
uncoupled_cpl	extractionPatterns(professionalOrganization, fellow of _ 0.021641489424337676)	0.021641489424337676
uncoupled_cpl	extractionPatterns(professionalOrganization, fields of _ 0.1387299557298078)	0.1387299557298078
uncoupled_cpl	extractionPatterns(professionalOrganization, funds of _ 0.131751593072749)	0.131751593072749
uncoupled_cpl	extractionPatterns(professionalOrganization, _ gathered in 0.14927918521453326)	0.14927918521453326
uncoupled_cpl	extractionPatterns(professionalOrganization, gathering of _ 0.14593776722916216)	0.14593776722916216
uncoupled_cpl	extractionPatterns(professionalOrganization, heads of _ 0.14722518405367002)	0.14722518405367002
uncoupled_cpl	extractionPatterns(professionalOrganization, individual members of _ 0.1351744652101071)	0.1351744652101071
uncoupled_cpl	extractionPatterns(professionalOrganization, _ is chaired by 0.1391082321889244)	0.1391082321889244
uncoupled_cpl	extractionPatterns(professionalOrganization, large numbers of _ 0.197793049389283)	0.197793049389283
uncoupled_cpl	extractionPatterns(professionalOrganization, majority in _ 0.1880662471058888)	0.1880662471058888
uncoupled_cpl	extractionPatterns(professionalOrganization, majority vote of _ 0.2340938911197097)	0.2340938911197097
uncoupled_cpl	extractionPatterns(professionalOrganization, meetings of _ 0.21010245211897088)	0.21010245211897088
uncoupled_cpl	extractionPatterns(professionalOrganization, Members of _ 0.29785633679858836)	0.29785633679858836
uncoupled_cpl	extractionPatterns(professionalOrganization, next meeting of _ 0.15838507935970308)	0.15838507935970308
uncoupled_cpl	extractionPatterns(professionalOrganization, officers of _ 0.12308612073944909)	0.12308612073944909
uncoupled_cpl	extractionPatterns(professionalOrganization, Officers of _ 0.17409467822874952)	0.17409467822874952
uncoupled_cpl	extractionPatterns(professionalOrganization, official journal of _ 0.1327665441845141)	0.1327665441845141
uncoupled_cpl	extractionPatterns(professionalOrganization, opportunities for _ 0.1382839637048699)	0.1382839637048699
uncoupled_cpl	extractionPatterns(professionalOrganization, panel of _ 0.16523955657138342)	0.16523955657138342
uncoupled_cpl	extractionPatterns(professionalOrganization, past president of _ 0.1405942776409954)	0.1405942776409954
uncoupled_cpl	extractionPatterns(professionalOrganization, philosophy of _ 0.1407432458457596)	0.1407432458457596
uncoupled_cpl	extractionPatterns(professionalOrganization, program is accredited by _ 0.1648136231793635)	0.1648136231793635
uncoupled_cpl	extractionPatterns(professionalOrganization, programs for _ 0.13898781660732115)	0.13898781660732115
uncoupled_cpl	extractionPatterns(professionalOrganization, quorum of _ 0.1707695999005308)	0.1707695999005308
uncoupled_cpl	extractionPatterns(professionalOrganization, secretary of _ 0.3156466144094444)	0.3156466144094444
uncoupled_cpl	extractionPatterns(professionalOrganization, Section of _ 0.12882260191503866)	0.12882260191503866
uncoupled_cpl	extractionPatterns(professionalOrganization, senior member of _ 0.07106601821177326)	0.07106601821177326
uncoupled_cpl	extractionPatterns(professionalOrganization, sources of _ 0.17525030722533771)	0.17525030722533771
uncoupled_cpl	extractionPatterns(professionalOrganization, special meeting of _ 0.14045094459008456)	0.14045094459008456
uncoupled_cpl	extractionPatterns(professionalOrganization, Student Chapter of _ 0.028423784554383713)	0.028423784554383713
uncoupled_cpl	extractionPatterns(professionalOrganization, student chapter of _ 0.04521962974613901)	0.04521962974613901
uncoupled_cpl	extractionPatterns(professionalOrganization, student member of _ 0.03359174253847007)	0.03359174253847007
uncoupled_cpl	extractionPatterns(professionalOrganization, term of _ 0.1531448612456826)	0.1531448612456826
uncoupled_cpl	extractionPatterns(professionalOrganization, term on _ 0.13591793425167922)	0.13591793425167922
uncoupled_cpl	extractionPatterns(profession, applications from _ 0.1714756508511882)	0.1714756508511882
uncoupled_cpl	extractionPatterns(profession, _ appointed by 0.16592390489034226)	0.16592390489034226
uncoupled_cpl	extractionPatterns(profession, association of _ 0.1680237400064385)	0.1680237400064385
uncoupled_cpl	extractionPatterns(profession, board of _ 0.43451491849932844)	0.43451491849932844
uncoupled_cpl	extractionPatterns(profession, careers in _ 0.23084356630688058)	0.23084356630688058
uncoupled_cpl	extractionPatterns(profession, coalition of _ 0.18990088515708692)	0.18990088515708692
uncoupled_cpl	extractionPatterns(profession, collaboration between _ 0.17406369213386905)	0.17406369213386905
uncoupled_cpl	extractionPatterns(profession, college of _ 0.16723320559387939)	0.16723320559387939
uncoupled_cpl	extractionPatterns(profession, communication among _ 0.16470488207657633)	0.16470488207657633
uncoupled_cpl	extractionPatterns(profession, community of _ 0.1972620955941189)	0.1972620955941189
uncoupled_cpl	extractionPatterns(profession, degree in _ 0.19021619220043723)	0.19021619220043723
uncoupled_cpl	extractionPatterns(profession, departments of _ 0.19839684231679144)	0.19839684231679144
uncoupled_cpl	extractionPatterns(profession, development for _ 0.03960998682366883)	0.03960998682366883
uncoupled_cpl	extractionPatterns(profession, diverse group of _ 0.2034862182459418)	0.2034862182459418
uncoupled_cpl	extractionPatterns(profession, _ enrolled in 0.2249192117823171)	0.2249192117823171
uncoupled_cpl	extractionPatterns(profession, excellence in _ 0.16532847937090706)	0.16532847937090706
uncoupled_cpl	extractionPatterns(profession, exchange of _ 0.2235283561101827)	0.2235283561101827
uncoupled_cpl	extractionPatterns(profession, experiences for _ 0.17021788263523915)	0.17021788263523915
uncoupled_cpl	extractionPatterns(profession, faculty of _ 0.16710465269370292)	0.16710465269370292
uncoupled_cpl	extractionPatterns(profession, feedback from _ 0.16916917994955602)	0.16916917994955602
uncoupled_cpl	extractionPatterns(profession, field of _ 0.17518092184288897)	0.17518092184288897
uncoupled_cpl	extractionPatterns(profession, fields of _ 0.22584327358285952)	0.22584327358285952
uncoupled_cpl	extractionPatterns(profession, generations of _ 0.17022043592262825)	0.17022043592262825
uncoupled_cpl	extractionPatterns(profession, incentives for _ 0.1765468497772022)	0.1765468497772022
uncoupled_cpl	extractionPatterns(profession, _ interested in 0.19223359612203128)	0.19223359612203128
uncoupled_cpl	extractionPatterns(profession, interviews with _ 0.16892355562037817)	0.16892355562037817
uncoupled_cpl	extractionPatterns(profession, majoring in _ 0.18293635015545145)	0.18293635015545145
uncoupled_cpl	extractionPatterns(profession, network of _ 0.06400967725139835)	0.06400967725139835
uncoupled_cpl	extractionPatterns(profession, new generation of _ 0.19305715384583533)	0.19305715384583533
uncoupled_cpl	extractionPatterns(profession, next generation of _ 0.19681403123099994)	0.19681403123099994
uncoupled_cpl	extractionPatterns(profession, opportunities for _ 0.19271574491956125)	0.19271574491956125
uncoupled_cpl	extractionPatterns(profession, panel of _ 0.21252131282497425)	0.21252131282497425
uncoupled_cpl	extractionPatterns(profession, partnerships with _ 0.19757974578698012)	0.19757974578698012
uncoupled_cpl	extractionPatterns(profession, professional development of _ 0.04117261203941452)	0.04117261203941452
uncoupled_cpl	extractionPatterns(profession, professionals such as _ 0.03601229035641601)	0.03601229035641601
uncoupled_cpl	extractionPatterns(profession, profession of _ 0.17069669684728284)	0.17069669684728284
uncoupled_cpl	extractionPatterns(profession, professor of _ 0.1440024450552414)	0.1440024450552414
uncoupled_cpl	extractionPatterns(profession, program allows _ 0.18843126132595084)	0.18843126132595084
uncoupled_cpl	extractionPatterns(profession, program of _ 0.23112213158894884)	0.23112213158894884
uncoupled_cpl	extractionPatterns(profession, program provides _ 0.17466105704491608)	0.17466105704491608
uncoupled_cpl	extractionPatterns(profession, reading for _ 0.203716491353674)	0.203716491353674
uncoupled_cpl	extractionPatterns(profession, requests from _ 0.16400948786434127)	0.16400948786434127
uncoupled_cpl	extractionPatterns(profession, resource for _ 0.17213589963286166)	0.17213589963286166
uncoupled_cpl	extractionPatterns(profession, rule of _ 0.28941142133407644)	0.28941142133407644
uncoupled_cpl	extractionPatterns(profession, small group of _ 0.18724356930593195)	0.18724356930593195
uncoupled_cpl	extractionPatterns(profession, team of _ 0.26522440500466316)	0.26522440500466316
uncoupled_cpl	extractionPatterns(profession, teams of _ 0.21725184985613466)	0.21725184985613466
uncoupled_cpl	extractionPatterns(profession, training of _ 0.20224084294285857)	0.20224084294285857
uncoupled_cpl	extractionPatterns(profession, workshops for _ 0.0685225082565642)	0.0685225082565642
uncoupled_cpl	extractionPatterns(profession, works of _ 0.3213784108982669)	0.3213784108982669
uncoupled_cpl	extractionPatterns(reptile, actual number of _ 0.1505242617717607)	0.1505242617717607
uncoupled_cpl	extractionPatterns(reptile, average number of _ 0.1510802690945507)	0.1510802690945507
uncoupled_cpl	extractionPatterns(reptile, _ basking on 0.029702977074450767)	0.029702977074450767
uncoupled_cpl	extractionPatterns(reptile, billions of _ 0.13663515605328017)	0.13663515605328017
uncoupled_cpl	extractionPatterns(reptile, breeding ground for _ 0.16356251614227385)	0.16356251614227385
uncoupled_cpl	extractionPatterns(reptile, brood of _ 0.07017543205015186)	0.07017543205015186
uncoupled_cpl	extractionPatterns(reptile, certain amount of _ 0.14484052056816296)	0.14484052056816296
uncoupled_cpl	extractionPatterns(reptile, certain number of _ 0.13280970032386683)	0.13280970032386683
uncoupled_cpl	extractionPatterns(reptile, clusters of _ 0.13752658982852947)	0.13752658982852947
uncoupled_cpl	extractionPatterns(reptile, couple of _ 0.19136551282036124)	0.19136551282036124
uncoupled_cpl	extractionPatterns(reptile, creatures like _ 0.039019958786597204)	0.039019958786597204
uncoupled_cpl	extractionPatterns(reptile, creatures such as _ 0.05870648976981504)	0.05870648976981504
uncoupled_cpl	extractionPatterns(reptile, difference between _ 0.04032256666012084)	0.04032256666012084
uncoupled_cpl	extractionPatterns(reptile, different groups of _ 0.13360227360805943)	0.13360227360805943
uncoupled_cpl	extractionPatterns(reptile, different species of _ 0.1706681928790569)	0.1706681928790569
uncoupled_cpl	extractionPatterns(reptile, exact number of _ 0.13222648913031443)	0.13222648913031443
uncoupled_cpl	extractionPatterns(reptile, fixed number of _ 0.15669014852116572)	0.15669014852116572
uncoupled_cpl	extractionPatterns(reptile, flurry of _ 0.22584485449130773)	0.22584485449130773
uncoupled_cpl	extractionPatterns(reptile, friend of _ 0.43523637703350154)	0.43523637703350154
uncoupled_cpl	extractionPatterns(reptile, high number of _ 0.15206883481823696)	0.15206883481823696
uncoupled_cpl	extractionPatterns(reptile, hordes of _ 0.15188615788961388)	0.15188615788961388
uncoupled_cpl	extractionPatterns(reptile, huge numbers of _ 0.13281939578587051)	0.13281939578587051
uncoupled_cpl	extractionPatterns(reptile, influx of _ 0.15863679467478972)	0.15863679467478972
uncoupled_cpl	extractionPatterns(reptile, many hundreds of _ 0.22295841605507707)	0.22295841605507707
uncoupled_cpl	extractionPatterns(reptile, many millions of _ 0.23769712494460804)	0.23769712494460804
uncoupled_cpl	extractionPatterns(reptile, many species of _ 0.18500082397404022)	0.18500082397404022
uncoupled_cpl	extractionPatterns(reptile, many thousands of _ 0.16170250837438596)	0.16170250837438596
uncoupled_cpl	extractionPatterns(reptile, maximum number of _ 0.13817973689468172)	0.13817973689468172
uncoupled_cpl	extractionPatterns(reptile, minimum number of _ 0.15903801774954213)	0.15903801774954213
uncoupled_cpl	extractionPatterns(reptile, organisms such as _ 0.1445086372297117)	0.1445086372297117
uncoupled_cpl	extractionPatterns(reptile, other species of _ 0.15660430584281823)	0.15660430584281823
uncoupled_cpl	extractionPatterns(reptile, passage of _ 0.21526079197442158)	0.21526079197442158
uncoupled_cpl	extractionPatterns(reptile, plenty of _ 0.039603966563223)	0.039603966563223
uncoupled_cpl	extractionPatterns(reptile, presence of _ 0.041804177677823566)	0.041804177677823566
uncoupled_cpl	extractionPatterns(reptile, record number of _ 0.1592945937788737)	0.1592945937788737
uncoupled_cpl	extractionPatterns(reptile, required number of _ 0.16276383399508224)	0.16276383399508224
uncoupled_cpl	extractionPatterns(reptile, _ ruled the earth 0.0622119609184229)	0.0622119609184229
uncoupled_cpl	extractionPatterns(reptile, same number of _ 0.13331360419875793)	0.13331360419875793
uncoupled_cpl	extractionPatterns(reptile, set number of _ 0.15669265558359852)	0.15669265558359852
uncoupled_cpl	extractionPatterns(reptile, several species of _ 0.160078973683452)	0.160078973683452
uncoupled_cpl	extractionPatterns(reptile, span of _ 0.16691075677028874)	0.16691075677028874
uncoupled_cpl	extractionPatterns(reptile, specific number of _ 0.16402588963320247)	0.16402588963320247
uncoupled_cpl	extractionPatterns(reptile, specified number of _ 0.2734741984394636)	0.2734741984394636
uncoupled_cpl	extractionPatterns(reptile, swarm of _ 0.1756022121842991)	0.1756022121842991
uncoupled_cpl	extractionPatterns(reptile, swarms of _ 0.218564087678418)	0.218564087678418
uncoupled_cpl	extractionPatterns(reptile, total number of _ 0.1595490309373884)	0.1595490309373884
uncoupled_cpl	extractionPatterns(reptile, variety of _ 0.13861388733826)	0.13861388733826
uncoupled_cpl	extractionPatterns(reptile, various species of _ 0.13443250869100054)	0.13443250869100054
uncoupled_cpl	extractionPatterns(reptile, _ were caused by 0.1517200852911575)	0.1517200852911575
uncoupled_cpl	extractionPatterns(reptile, wildlife such as _ 0.042626719671195135)	0.042626719671195135
uncoupled_cpl	extractionPatterns(room, air conditioned _ 0.1444200805804759)	0.1444200805804759
uncoupled_cpl	extractionPatterns(room, amount of _ 0.17213125202631455)	0.17213125202631455
uncoupled_cpl	extractionPatterns(room, _ are air 0.17823292797693308)	0.17823292797693308
uncoupled_cpl	extractionPatterns(room, _ are furnished with 0.2825180038454407)	0.2825180038454407
uncoupled_cpl	extractionPatterns(room, breadth of _ 0.1318901367890384)	0.1318901367890384
uncoupled_cpl	extractionPatterns(room, burden of _ 0.17675176294960615)	0.17675176294960615
uncoupled_cpl	extractionPatterns(room, conditions of _ 0.13657901054283497)	0.13657901054283497
uncoupled_cpl	extractionPatterns(room, _ decorating ideas 0.17395754565963345)	0.17395754565963345
uncoupled_cpl	extractionPatterns(room, _ designated by 0.12376854873473511)	0.12376854873473511
uncoupled_cpl	extractionPatterns(room, _ designated for 0.14467911338895395)	0.14467911338895395
uncoupled_cpl	extractionPatterns(room, determination of _ 0.15527337591534057)	0.15527337591534057
uncoupled_cpl	extractionPatterns(room, ease of _ 0.4422181352409631)	0.4422181352409631
uncoupled_cpl	extractionPatterns(room, eligibility for _ 0.1221537233449009)	0.1221537233449009
uncoupled_cpl	extractionPatterns(room, End of _ 0.16207987657317127)	0.16207987657317127
uncoupled_cpl	extractionPatterns(room, fireplace in _ 0.16738194201719672)	0.16738194201719672
uncoupled_cpl	extractionPatterns(room, first year of _ 0.12091662747588242)	0.12091662747588242
uncoupled_cpl	extractionPatterns(room, full range of _ 0.13466972224612997)	0.13466972224612997
uncoupled_cpl	extractionPatterns(room, great deal of _ 0.1513117501400596)	0.1513117501400596
uncoupled_cpl	extractionPatterns(room, _ has a king size bed 0.11145515124333853)	0.11145515124333853
uncoupled_cpl	extractionPatterns(room, _ is decorated with 0.12238028403791436)	0.12238028403791436
uncoupled_cpl	extractionPatterns(room, _ is equipped with 0.13590746897366018)	0.13590746897366018
uncoupled_cpl	extractionPatterns(room, _ is furnished with 0.10753423682780155)	0.10753423682780155
uncoupled_cpl	extractionPatterns(room, items for _ 0.18631807223258845)	0.18631807223258845
uncoupled_cpl	extractionPatterns(room, _ left on 0.251095985650839)	0.251095985650839
uncoupled_cpl	extractionPatterns(room, length of _ 0.17894657166760028)	0.17894657166760028
uncoupled_cpl	extractionPatterns(room, network of _ 1.0373496012873307)	1.0373496012873307
uncoupled_cpl	extractionPatterns(room, number of different _ 0.13189409355249326)	0.13189409355249326
uncoupled_cpl	extractionPatterns(room, _ offered at 0.14396572911323385)	0.14396572911323385
uncoupled_cpl	extractionPatterns(room, _ offered by 0.1770700255625374)	0.1770700255625374
uncoupled_cpl	extractionPatterns(room, _ offered through 0.19812839477229455)	0.19812839477229455
uncoupled_cpl	extractionPatterns(room, offer of _ 0.16229526163328623)	0.16229526163328623
uncoupled_cpl	extractionPatterns(room, period of _ 0.42214686675802476)	0.42214686675802476
uncoupled_cpl	extractionPatterns(room, plenty of _ 0.08192771048408255)	0.08192771048408255
uncoupled_cpl	extractionPatterns(room, point in _ 0.1520113636614086)	0.1520113636614086
uncoupled_cpl	extractionPatterns(room, program of _ 0.22134405014857944)	0.22134405014857944
uncoupled_cpl	extractionPatterns(room, _ provided at 0.12117372733603653)	0.12117372733603653
uncoupled_cpl	extractionPatterns(room, provision of _ 0.13399979619033922)	0.13399979619033922
uncoupled_cpl	extractionPatterns(room, _ remodeling ideas 0.08513934600659442)	0.08513934600659442
uncoupled_cpl	extractionPatterns(room, _ required for 0.120598672766803)	0.120598672766803
uncoupled_cpl	extractionPatterns(room, rooms have private _ 0.1552853324256058)	0.1552853324256058
uncoupled_cpl	extractionPatterns(room, rooms with private _ 0.1343943352794133)	0.1343943352794133
uncoupled_cpl	extractionPatterns(room, schedule of _ 0.12489173961830675)	0.12489173961830675
uncoupled_cpl	extractionPatterns(room, _ set by 0.12885287878388146)	0.12885287878388146
uncoupled_cpl	extractionPatterns(room, sofa in _ 0.22405426544848628)	0.22405426544848628
uncoupled_cpl	extractionPatterns(room, standard of _ 0.29916051804345634)	0.29916051804345634
uncoupled_cpl	extractionPatterns(room, ton of _ 0.12707599317749954)	0.12707599317749954
uncoupled_cpl	extractionPatterns(room, unit of _ 0.14057656387800316)	0.14057656387800316
uncoupled_cpl	extractionPatterns(room, variety of _ 0.16506020381911873)	0.16506020381911873
uncoupled_cpl	extractionPatterns(room, _ was approved by 0.17321078772622023)	0.17321078772622023
uncoupled_cpl	extractionPatterns(room, _ was packed with 0.16610901322301286)	0.16610901322301286
uncoupled_cpl	extractionPatterns(scientist, administration from _ 0.2486741186833512)	0.2486741186833512
uncoupled_cpl	extractionPatterns(scientist, assistant professor at _ 0.2590881312672333)	0.2590881312672333
uncoupled_cpl	extractionPatterns(scientist, associate professor at _ 0.25052714526421593)	0.25052714526421593
uncoupled_cpl	extractionPatterns(scientist, biology at _ 0.2496533308613874)	0.2496533308613874
uncoupled_cpl	extractionPatterns(scientist, candidate at _ 0.19528836849311643)	0.19528836849311643
uncoupled_cpl	extractionPatterns(scientist, chemistry at _ 0.22670016355700282)	0.22670016355700282
uncoupled_cpl	extractionPatterns(scientist, computer science at _ 0.2852643456516664)	0.2852643456516664
uncoupled_cpl	extractionPatterns(scientist, cum laude from _ 0.2501638939789774)	0.2501638939789774
uncoupled_cpl	extractionPatterns(scientist, disciple of _ 0.15670816892439898)	0.15670816892439898
uncoupled_cpl	extractionPatterns(scientist, disciples of _ 0.20393621614173585)	0.20393621614173585
uncoupled_cpl	extractionPatterns(scientist, divinity of _ 0.20299498594981494)	0.20299498594981494
uncoupled_cpl	extractionPatterns(scientist, doctorate from _ 0.3024204534179243)	0.3024204534179243
uncoupled_cpl	extractionPatterns(scientist, economics at _ 0.25821724848316724)	0.25821724848316724
uncoupled_cpl	extractionPatterns(scientist, education at _ 0.08209616294286812)	0.08209616294286812
uncoupled_cpl	extractionPatterns(scientist, engineering from _ 0.2747196928173257)	0.2747196928173257
uncoupled_cpl	extractionPatterns(scientist, faculty member at _ 0.22254854976216215)	0.22254854976216215
uncoupled_cpl	extractionPatterns(scientist, fellowship at _ 0.24474583869100514)	0.24474583869100514
uncoupled_cpl	extractionPatterns(scientist, figures such as _ 0.011111107448114659)	0.011111107448114659
uncoupled_cpl	extractionPatterns(scientist, follower of _ 0.1644160785077904)	0.1644160785077904
uncoupled_cpl	extractionPatterns(scientist, followers of _ 0.14617043136013685)	0.14617043136013685
uncoupled_cpl	extractionPatterns(scientist, freshman at _ 0.19170817214016775)	0.19170817214016775
uncoupled_cpl	extractionPatterns(scientist, graduate student at _ 0.279344078702311)	0.279344078702311
uncoupled_cpl	extractionPatterns(scientist, graduate students at _ 0.19104486179639313)	0.19104486179639313
uncoupled_cpl	extractionPatterns(scientist, History at _ 0.3430109184867323)	0.3430109184867323
uncoupled_cpl	extractionPatterns(scientist, lab at _ 0.09985801020044453)	0.09985801020044453
uncoupled_cpl	extractionPatterns(scientist, law degree from _ 0.34068703808176826)	0.34068703808176826
uncoupled_cpl	extractionPatterns(scientist, literature at _ 0.19412072881425516)	0.19412072881425516
uncoupled_cpl	extractionPatterns(scientist, mathematics at _ 0.22096742202105202)	0.22096742202105202
uncoupled_cpl	extractionPatterns(scientist, mathematics from _ 0.26954390206209283)	0.26954390206209283
uncoupled_cpl	extractionPatterns(scientist, medical degree from _ 0.4251063100685856)	0.4251063100685856
uncoupled_cpl	extractionPatterns(scientist, medical school at _ 0.2586630576366489)	0.2586630576366489
uncoupled_cpl	extractionPatterns(scientist, medicine at _ 0.24411398771721998)	0.24411398771721998
uncoupled_cpl	extractionPatterns(scientist, philosophy at _ 0.23141977726621288)	0.23141977726621288
uncoupled_cpl	extractionPatterns(scientist, physicists like _ 0.007942239425309652)	0.007942239425309652
uncoupled_cpl	extractionPatterns(scientist, physics at _ 0.2362600910692137)	0.2362600910692137
uncoupled_cpl	extractionPatterns(scientist, program at _ 0.0805705565144646)	0.0805705565144646
uncoupled_cpl	extractionPatterns(scientist, psychology at _ 0.29647867071861944)	0.29647867071861944
uncoupled_cpl	extractionPatterns(scientist, psychology from _ 0.3204634659225967)	0.3204634659225967
uncoupled_cpl	extractionPatterns(scientist, quote by _ 0.008493356579162252)	0.008493356579162252
uncoupled_cpl	extractionPatterns(scientist, residency at _ 0.13959065948857613)	0.13959065948857613
uncoupled_cpl	extractionPatterns(scientist, resurrection of _ 0.19505942953582273)	0.19505942953582273
uncoupled_cpl	extractionPatterns(scientist, sayings of _ 0.29852129758536117)	0.29852129758536117
uncoupled_cpl	extractionPatterns(scientist, Science degree from _ 0.27583290866039234)	0.27583290866039234
uncoupled_cpl	extractionPatterns(scientist, science from _ 0.2498318968226772)	0.2498318968226772
uncoupled_cpl	extractionPatterns(scientist, sciences at _ 0.263940389151695)	0.263940389151695
uncoupled_cpl	extractionPatterns(scientist, Studies at _ 0.26776327260388966)	0.26776327260388966
uncoupled_cpl	extractionPatterns(scientist, teachings of _ 0.14161898951070512)	0.14161898951070512
uncoupled_cpl	extractionPatterns(scientist, thinkers such as _ 0.007942239425309652)	0.007942239425309652
uncoupled_cpl	extractionPatterns(scientist, time of _ 0.03032490369256304)	0.03032490369256304
uncoupled_cpl	extractionPatterns(scientist, undergraduate degree from _ 0.25352952330260176)	0.25352952330260176
uncoupled_cpl	extractionPatterns(shape, _ are made on 0.21328734176819525)	0.21328734176819525
uncoupled_cpl	extractionPatterns(shape, _ are taking place 0.2622434521465725)	0.2622434521465725
uncoupled_cpl	extractionPatterns(shape, butter into small _ 0.051136384996126)	0.051136384996126
uncoupled_cpl	extractionPatterns(shape, certain kinds of _ 0.21495318903042127)	0.21495318903042127
uncoupled_cpl	extractionPatterns(shape, chain of _ 0.1749949784573058)	0.1749949784573058
uncoupled_cpl	extractionPatterns(shape, charge of _ 0.2921867869170225)	0.2921867869170225
uncoupled_cpl	extractionPatterns(shape, circle of _ 0.22780893630662624)	0.22780893630662624
uncoupled_cpl	extractionPatterns(shape, cluster of _ 0.2116843561261486)	0.2116843561261486
uncoupled_cpl	extractionPatterns(shape, clusters of _ 0.24963086307267557)	0.24963086307267557
uncoupled_cpl	extractionPatterns(shape, congruence of _ 0.06617649099705089)	0.06617649099705089
uncoupled_cpl	extractionPatterns(shape, cool , cut into _ 0.0482954464096938)	0.0482954464096938
uncoupled_cpl	extractionPatterns(shape, couple of other _ 0.2428896631183421)	0.2428896631183421
uncoupled_cpl	extractionPatterns(shape, difference between _ 0.4713911794720451)	0.4713911794720451
uncoupled_cpl	extractionPatterns(shape, difference of _ 0.2859761108921778)	0.2859761108921778
uncoupled_cpl	extractionPatterns(shape, differences of _ 0.3976178145488882)	0.3976178145488882
uncoupled_cpl	extractionPatterns(shape, exchange of _ 0.3138823640660755)	0.3138823640660755
uncoupled_cpl	extractionPatterns(shape, grid of _ 0.10609068836836066)	0.10609068836836066
uncoupled_cpl	extractionPatterns(shape, host of other _ 0.24374248508499038)	0.24374248508499038
uncoupled_cpl	extractionPatterns(shape, infinite number of _ 0.25228017588631857)	0.25228017588631857
uncoupled_cpl	extractionPatterns(shape, _ is replaced by 0.11572506851671961)	0.11572506851671961
uncoupled_cpl	extractionPatterns(shape, list of possible _ 0.24068265438530212)	0.24068265438530212
uncoupled_cpl	extractionPatterns(shape, lot of different _ 0.2287935981457859)	0.2287935981457859
uncoupled_cpl	extractionPatterns(shape, lot of new _ 0.23179799449280514)	0.23179799449280514
uncoupled_cpl	extractionPatterns(shape, lot of other _ 0.22705409180440805)	0.22705409180440805
uncoupled_cpl	extractionPatterns(shape, _ made during 0.21000813729323237)	0.21000813729323237
uncoupled_cpl	extractionPatterns(shape, mixture of _ 0.3989500730987563)	0.3989500730987563
uncoupled_cpl	extractionPatterns(shape, multiplicity of _ 0.23494684075039732)	0.23494684075039732
uncoupled_cpl	extractionPatterns(shape, multitude of _ 0.22674573486964122)	0.22674573486964122
uncoupled_cpl	extractionPatterns(shape, network of _ 0.11079540241270991)	0.11079540241270991
uncoupled_cpl	extractionPatterns(shape, next set of _ 0.24018471640082611)	0.24018471640082611
uncoupled_cpl	extractionPatterns(shape, number of important _ 0.251020166112499)	0.251020166112499
uncoupled_cpl	extractionPatterns(shape, number of key _ 0.20935372364044594)	0.20935372364044594
uncoupled_cpl	extractionPatterns(shape, number of possible _ 0.21941815196319295)	0.21941815196319295
uncoupled_cpl	extractionPatterns(shape, _ occurring in 0.21861130262038672)	0.21861130262038672
uncoupled_cpl	extractionPatterns(shape, particular set of _ 0.24056859784066006)	0.24056859784066006
uncoupled_cpl	extractionPatterns(shape, _ resulting in 0.10498686834779715)	0.10498686834779715
uncoupled_cpl	extractionPatterns(shape, same number of _ 0.24862985862948722)	0.24862985862948722
uncoupled_cpl	extractionPatterns(shape, same set of _ 0.25321103690244817)	0.25321103690244817
uncoupled_cpl	extractionPatterns(shape, scale of _ 0.2756374124397517)	0.2756374124397517
uncoupled_cpl	extractionPatterns(shape, sequence of _ 0.1735624156339133)	0.1735624156339133
uncoupled_cpl	extractionPatterns(shape, sequences of _ 0.22916362750358432)	0.22916362750358432
uncoupled_cpl	extractionPatterns(shape, series of _ 0.4886362164516096)	0.4886362164516096
uncoupled_cpl	extractionPatterns(shape, speed of _ 0.1707298152188494)	0.1707298152188494
uncoupled_cpl	extractionPatterns(shape, standard of _ 0.2568083993376723)	0.2568083993376723
uncoupled_cpl	extractionPatterns(shape, string of _ 0.2574715629815112)	0.2574715629815112
uncoupled_cpl	extractionPatterns(shape, strings of _ 0.2299082414219841)	0.2299082414219841
uncoupled_cpl	extractionPatterns(shape, table of _ 0.5388187691263702)	0.5388187691263702
uncoupled_cpl	extractionPatterns(shape, tables of _ 0.3680737328048583)	0.3680737328048583
uncoupled_cpl	extractionPatterns(shape, _ taking place 0.2190912432696089)	0.2190912432696089
uncoupled_cpl	extractionPatterns(shape, _ were caused by 0.21309525642070573)	0.21309525642070573
uncoupled_cpl	extractionPatterns(sport, activities for _ 0.2588824969386388)	0.2588824969386388
uncoupled_cpl	extractionPatterns(sport, activities include _ 0.15346879845663272)	0.15346879845663272
uncoupled_cpl	extractionPatterns(sport, activities including _ 0.12543770727630496)	0.12543770727630496
uncoupled_cpl	extractionPatterns(sport, activities , including _ 0.13177715536126694)	0.13177715536126694
uncoupled_cpl	extractionPatterns(sport, activities like _ 0.12308870557512529)	0.12308870557512529
uncoupled_cpl	extractionPatterns(sport, activities such as _ 0.11925681523847304)	0.11925681523847304
uncoupled_cpl	extractionPatterns(sport, bodies of _ 0.33408627866762236)	0.33408627866762236
uncoupled_cpl	extractionPatterns(sport, certain amount of _ 0.1715058332217087)	0.1715058332217087
uncoupled_cpl	extractionPatterns(sport, certain types of _ 0.1721241947896558)	0.1721241947896558
uncoupled_cpl	extractionPatterns(sport, charge of _ 0.13913452612950722)	0.13913452612950722
uncoupled_cpl	extractionPatterns(sport, clothing for _ 0.11842422197071296)	0.11842422197071296
uncoupled_cpl	extractionPatterns(sport, _ conducted in 0.1704897672821608)	0.1704897672821608
uncoupled_cpl	extractionPatterns(sport, difference between _ 0.2009725394315341)	0.2009725394315341
uncoupled_cpl	extractionPatterns(sport, different kinds of _ 0.16307664075474787)	0.16307664075474787
uncoupled_cpl	extractionPatterns(sport, different styles of _ 0.17702098395803234)	0.17702098395803234
uncoupled_cpl	extractionPatterns(sport, directory of _ 0.16510741778868682)	0.16510741778868682
uncoupled_cpl	extractionPatterns(sport, fair amount of _ 0.20526673484802255)	0.20526673484802255
uncoupled_cpl	extractionPatterns(sport, full day of _ 0.12562751254633067)	0.12562751254633067
uncoupled_cpl	extractionPatterns(sport, genre of _ 0.6277740313228418)	0.6277740313228418
uncoupled_cpl	extractionPatterns(sport, good deal of _ 0.17352284791404024)	0.17352284791404024
uncoupled_cpl	extractionPatterns(sport, great game of _ 0.14483487189801056)	0.14483487189801056
uncoupled_cpl	extractionPatterns(sport, hobbies include _ 0.1150729504495136)	0.1150729504495136
uncoupled_cpl	extractionPatterns(sport, home from _ 0.21429322319166216)	0.21429322319166216
uncoupled_cpl	extractionPatterns(sport, large number of _ 0.27613152138791575)	0.27613152138791575
uncoupled_cpl	extractionPatterns(sport, level of _ 0.20873265677917077)	0.20873265677917077
uncoupled_cpl	extractionPatterns(sport, lot of _ 0.20114806506424873)	0.20114806506424873
uncoupled_cpl	extractionPatterns(sport, lot of good _ 0.20127623720018592)	0.20127623720018592
uncoupled_cpl	extractionPatterns(sport, lot of great _ 0.36588690355993964)	0.36588690355993964
uncoupled_cpl	extractionPatterns(sport, lots of _ 0.1647388147772323)	0.1647388147772323
uncoupled_cpl	extractionPatterns(sport, lots of great _ 0.15718402913210316)	0.15718402913210316
uncoupled_cpl	extractionPatterns(sport, millions of _ 0.24937936194056404)	0.24937936194056404
uncoupled_cpl	extractionPatterns(sport, minority of _ 0.28782834524316975)	0.28782834524316975
uncoupled_cpl	extractionPatterns(sport, moment in _ 0.25386110302970816)	0.25386110302970816
uncoupled_cpl	extractionPatterns(sport, opportunities for _ 0.16655461588769763)	0.16655461588769763
uncoupled_cpl	extractionPatterns(sport, passion for _ 0.17414987498997248)	0.17414987498997248
uncoupled_cpl	extractionPatterns(sport, _ presented on 0.3011418086785429)	0.3011418086785429
uncoupled_cpl	extractionPatterns(sport, programme of _ 0.1544567742664873)	0.1544567742664873
uncoupled_cpl	extractionPatterns(sport, program of _ 0.2197492841472689)	0.2197492841472689
uncoupled_cpl	extractionPatterns(sport, round of _ 0.15668826825066512)	0.15668826825066512
uncoupled_cpl	extractionPatterns(sport, schedule of _ 0.2922700720188571)	0.2922700720188571
uncoupled_cpl	extractionPatterns(sportsEquipment, _ are allowed on 0.01147180492173118)	0.01147180492173118
uncoupled_cpl	extractionPatterns(sportsEquipment, _ autographed by 0.011715892799285515)	0.011715892799285515
uncoupled_cpl	extractionPatterns(sportsEquipment, awful lot of _ 0.39302266382883266)	0.39302266382883266
uncoupled_cpl	extractionPatterns(sportsEquipment, bucket of _ 0.0234544274048056)	0.0234544274048056
uncoupled_cpl	extractionPatterns(sportsEquipment, _ collected by 0.3890711683658827)	0.3890711683658827
uncoupled_cpl	extractionPatterns(sportsEquipment, _ collected from 0.41282190573674965)	0.41282190573674965
uncoupled_cpl	extractionPatterns(sportsEquipment, considerable amount of _ 0.43661651901511916)	0.43661651901511916
uncoupled_cpl	extractionPatterns(sportsEquipment, dissemination of _ 0.4273739020847246)	0.4273739020847246
uncoupled_cpl	extractionPatterns(sportsEquipment, enormous amount of _ 0.4172386160899679)	0.4172386160899679
uncoupled_cpl	extractionPatterns(sportsEquipment, exchange of _ 0.45724725271818206)	0.45724725271818206
uncoupled_cpl	extractionPatterns(sportsEquipment, _ flying around 0.010983644239674354)	0.010983644239674354
uncoupled_cpl	extractionPatterns(sportsEquipment, game of _ 0.023967153265000124)	0.023967153265000124
uncoupled_cpl	extractionPatterns(sportsEquipment, _ gathered from 0.4224564138465066)	0.4224564138465066
uncoupled_cpl	extractionPatterns(sportsEquipment, good source of _ 0.44780294421294753)	0.44780294421294753
uncoupled_cpl	extractionPatterns(sportsEquipment, great amount of _ 0.404301658577609)	0.404301658577609
uncoupled_cpl	extractionPatterns(sportsEquipment, heaps of _ 0.3750169702633722)	0.3750169702633722
uncoupled_cpl	extractionPatterns(sportsEquipment, huge amount of _ 0.422874429914674)	0.422874429914674
uncoupled_cpl	extractionPatterns(sportsEquipment, huge amounts of _ 0.4623727014607621)	0.4623727014607621
uncoupled_cpl	extractionPatterns(sportsEquipment, important source of _ 0.421367881109822)	0.421367881109822
uncoupled_cpl	extractionPatterns(sportsEquipment, incredible amount of _ 0.39134138207137953)	0.39134138207137953
uncoupled_cpl	extractionPatterns(sportsEquipment, items of _ 0.3823377112742131)	0.3823377112742131
uncoupled_cpl	extractionPatterns(sportsEquipment, kids on _ 0.013639776668199799)	0.013639776668199799
uncoupled_cpl	extractionPatterns(sportsEquipment, large amount of _ 0.404175940311995)	0.404175940311995
uncoupled_cpl	extractionPatterns(sportsEquipment, large amounts of _ 0.40986026272457565)	0.40986026272457565
uncoupled_cpl	extractionPatterns(sportsEquipment, large groups of _ 0.3848271525192696)	0.3848271525192696
uncoupled_cpl	extractionPatterns(sportsEquipment, level of _ 0.011870653703179523)	0.011870653703179523
uncoupled_cpl	extractionPatterns(sportsEquipment, limited amount of _ 0.39960728565662895)	0.39960728565662895
uncoupled_cpl	extractionPatterns(sportsEquipment, lot of other _ 0.422235526909034)	0.422235526909034
uncoupled_cpl	extractionPatterns(sportsEquipment, main source of _ 0.3965080244114168)	0.3965080244114168
uncoupled_cpl	extractionPatterns(sportsEquipment, massive amounts of _ 0.4195384921807715)	0.4195384921807715
uncoupled_cpl	extractionPatterns(sportsEquipment, maximum amount of _ 0.40806981664061703)	0.40806981664061703
uncoupled_cpl	extractionPatterns(sportsEquipment, millions of _ 0.40998692911470697)	0.40998692911470697
uncoupled_cpl	extractionPatterns(sportsEquipment, minimum amount of _ 0.4275508715103311)	0.4275508715103311
uncoupled_cpl	extractionPatterns(sportsEquipment, _ obtained through 0.3754469860632852)	0.3754469860632852
uncoupled_cpl	extractionPatterns(sportsEquipment, other sources of _ 0.47494607866082983)	0.47494607866082983
uncoupled_cpl	extractionPatterns(sportsEquipment, people riding _ 0.01684158758445813)	0.01684158758445813
uncoupled_cpl	extractionPatterns(sportsEquipment, primary source of _ 0.4293722588811212)	0.4293722588811212
uncoupled_cpl	extractionPatterns(sportsEquipment, _ provided on 0.45445971734345797)	0.45445971734345797
uncoupled_cpl	extractionPatterns(sportsEquipment, same amount of _ 0.430871231646252)	0.430871231646252
uncoupled_cpl	extractionPatterns(sportsEquipment, selection of _ 0.013507975367628142)	0.013507975367628142
uncoupled_cpl	extractionPatterns(sportsEquipment, significant amount of _ 0.3806027875703137)	0.3806027875703137
uncoupled_cpl	extractionPatterns(sportsEquipment, significant amounts of _ 0.3702762241937875)	0.3702762241937875
uncoupled_cpl	extractionPatterns(sportsEquipment, site provides _ 0.43611513473520025)	0.43611513473520025
uncoupled_cpl	extractionPatterns(sportsEquipment, substantial amount of _ 0.4239443849178447)	0.4239443849178447
uncoupled_cpl	extractionPatterns(sportsEquipment, ton of _ 0.4112800128462849)	0.4112800128462849
uncoupled_cpl	extractionPatterns(sportsEquipment, variety of _ 0.013098651408373683)	0.013098651408373683
uncoupled_cpl	extractionPatterns(sportsEquipment, vast amount of _ 0.4514588729887191)	0.4514588729887191
uncoupled_cpl	extractionPatterns(sportsEquipment, vast amounts of _ 0.5732685490902907)	0.5732685490902907
uncoupled_cpl	extractionPatterns(sportsEquipment, waste of _ 0.6762509797662124)	0.6762509797662124
uncoupled_cpl	extractionPatterns(sportsEquipment, wealth of _ 0.4347596192752484)	0.4347596192752484
uncoupled_cpl	extractionPatterns(sportsLeague, _ based company 0.21578278549156146)	0.21578278549156146
uncoupled_cpl	extractionPatterns(sportsLeague, border into _ 0.2329004895777045)	0.2329004895777045
uncoupled_cpl	extractionPatterns(sportsLeague, coach in _ 0.03207600615979079)	0.03207600615979079
uncoupled_cpl	extractionPatterns(sportsLeague, colleges in _ 0.21045298499463078)	0.21045298499463078
uncoupled_cpl	extractionPatterns(sportsLeague, company located in _ 0.21102957277397816)	0.21102957277397816
uncoupled_cpl	extractionPatterns(sportsLeague, counties in _ 0.28506473048317016)	0.28506473048317016
uncoupled_cpl	extractionPatterns(sportsLeague, counties of _ 0.2206110682567562)	0.2206110682567562
uncoupled_cpl	extractionPatterns(sportsLeague, debut in _ 0.051033704091163375)	0.051033704091163375
uncoupled_cpl	extractionPatterns(sportsLeague, defenses in _ 0.03430658365275427)	0.03430658365275427
uncoupled_cpl	extractionPatterns(sportsLeague, duty in _ 0.24634137543554374)	0.24634137543554374
uncoupled_cpl	extractionPatterns(sportsLeague, election in _ 0.23713966680720178)	0.23713966680720178
uncoupled_cpl	extractionPatterns(sportsLeague, elections in _ 0.23577861175930562)	0.23577861175930562
uncoupled_cpl	extractionPatterns(sportsLeague, fall in _ 0.21911731667889509)	0.21911731667889509
uncoupled_cpl	extractionPatterns(sportsLeague, firm based in _ 0.2458258304759131)	0.2458258304759131
uncoupled_cpl	extractionPatterns(sportsLeague, fish in _ 0.2284264505256161)	0.2284264505256161
uncoupled_cpl	extractionPatterns(sportsLeague, governor of _ 0.2576425808709868)	0.2576425808709868
uncoupled_cpl	extractionPatterns(sportsLeague, honeymoon in _ 0.21445872143406816)	0.21445872143406816
uncoupled_cpl	extractionPatterns(sportsLeague, last day in _ 0.20851485359853622)	0.20851485359853622
uncoupled_cpl	extractionPatterns(sportsLeague, last week in _ 0.23968253550502983)	0.23968253550502983
uncoupled_cpl	extractionPatterns(sportsLeague, launch in _ 0.26510985280675736)	0.26510985280675736
uncoupled_cpl	extractionPatterns(sportsLeague, majority in _ 0.2120430412823815)	0.2120430412823815
uncoupled_cpl	extractionPatterns(sportsLeague, meeting in _ 0.26680639392278505)	0.26680639392278505
uncoupled_cpl	extractionPatterns(sportsLeague, month of _ 0.4439719030372068)	0.4439719030372068
uncoupled_cpl	extractionPatterns(sportsLeague, only team in _ 0.04379564043504413)	0.04379564043504413
uncoupled_cpl	extractionPatterns(sportsLeague, organization based in _ 0.2535442284413982)	0.2535442284413982
uncoupled_cpl	extractionPatterns(sportsLeague, other team in _ 0.046715325452262806)	0.046715325452262806
uncoupled_cpl	extractionPatterns(sportsLeague, place in _ 0.0452334690701499)	0.0452334690701499
uncoupled_cpl	extractionPatterns(sportsLeague, point guard in _ 0.03357662965498158)	0.03357662965498158
uncoupled_cpl	extractionPatterns(sportsLeague, politicians in _ 0.23787665403764585)	0.23787665403764585
uncoupled_cpl	extractionPatterns(sportsLeague, public schools in _ 0.2109418027291393)	0.2109418027291393
uncoupled_cpl	extractionPatterns(sportsLeague, quarterback in _ 0.057879385156692935)	0.057879385156692935
uncoupled_cpl	extractionPatterns(sportsLeague, quarterbacks in _ 0.04233576677371795)	0.04233576677371795
uncoupled_cpl	extractionPatterns(sportsLeague, radio station in _ 0.21615576433663644)	0.21615576433663644
uncoupled_cpl	extractionPatterns(sportsLeague, release in _ 0.25707381948008945)	0.25707381948008945
uncoupled_cpl	extractionPatterns(sportsLeague, representatives in _ 0.21318882577524503)	0.21318882577524503
uncoupled_cpl	extractionPatterns(sportsLeague, small town in _ 0.2419737572067632)	0.2419737572067632
uncoupled_cpl	extractionPatterns(sportsLeague, sports including _ 0.03745136953479925)	0.03745136953479925
uncoupled_cpl	extractionPatterns(sportsLeague, states like _ 0.5013609390811073)	0.5013609390811073
uncoupled_cpl	extractionPatterns(sportsLeague, surgery in _ 0.2107878714049162)	0.2107878714049162
uncoupled_cpl	extractionPatterns(sportsLeague, tenure in _ 0.22963779860864708)	0.22963779860864708
uncoupled_cpl	extractionPatterns(sportsLeague, theaters in _ 0.21121789513217756)	0.21121789513217756
uncoupled_cpl	extractionPatterns(sportsLeague, tour in _ 0.2624735405331153)	0.2624735405331153
uncoupled_cpl	extractionPatterns(sportsLeague, vacation in _ 0.21651098365692834)	0.21651098365692834
uncoupled_cpl	extractionPatterns(sportsLeague, vacations in _ 0.2199931212860908)	0.2199931212860908
uncoupled_cpl	extractionPatterns(sportsLeague, visit in _ 0.22294749136034758)	0.22294749136034758
uncoupled_cpl	extractionPatterns(sportsLeague, voters in _ 0.21546926530586655)	0.21546926530586655
uncoupled_cpl	extractionPatterns(sportsLeague, voters of _ 0.21292591301477426)	0.21292591301477426
uncoupled_cpl	extractionPatterns(sportsLeague, weekend in _ 0.28797459918791)	0.28797459918791
uncoupled_cpl	extractionPatterns(sportsLeague, weekend of _ 0.2328003638957505)	0.2328003638957505
uncoupled_cpl	extractionPatterns(sportsLeague, week of _ 0.24725576308867492)	0.24725576308867492
uncoupled_cpl	extractionPatterns(sport, small number of _ 0.3151536441077725)	0.3151536441077725
uncoupled_cpl	extractionPatterns(sport, sources of _ 0.17175710164515273)	0.17175710164515273
uncoupled_cpl	extractionPatterns(sport, sport of _ 0.1270363516520277)	0.1270363516520277
uncoupled_cpl	extractionPatterns(sport, sports including _ 0.24121394517105058)	0.24121394517105058
uncoupled_cpl	extractionPatterns(sportsTeam, airports in _ 0.37798377785914605)	0.37798377785914605
uncoupled_cpl	extractionPatterns(sportsTeam, _ are D-D ATS 0.14583331318683562)	0.14583331318683562
uncoupled_cpl	extractionPatterns(sportsTeam, _ are the only team 0.165024554665341)	0.165024554665341
uncoupled_cpl	extractionPatterns(sportsTeam, border between _ 0.31160964883888276)	0.31160964883888276
uncoupled_cpl	extractionPatterns(sportsTeam, centres in _ 0.3894830234949591)	0.3894830234949591
uncoupled_cpl	extractionPatterns(sportsTeam, charge of _ 0.2744807906220983)	0.2744807906220983
uncoupled_cpl	extractionPatterns(sportsTeam, coast of _ 0.3619942323565521)	0.3619942323565521
uncoupled_cpl	extractionPatterns(sportsTeam, colleges in _ 0.3934296528663911)	0.3934296528663911
uncoupled_cpl	extractionPatterns(sportsTeam, counties in _ 0.4520343981245749)	0.4520343981245749
uncoupled_cpl	extractionPatterns(sportsTeam, couple from _ 0.35702552541377874)	0.35702552541377874
uncoupled_cpl	extractionPatterns(sportsTeam, DD-DD victory over _ 0.3005181883149842)	0.3005181883149842
uncoupled_cpl	extractionPatterns(sportsTeam, D-D victory over _ 0.37407947654963625)	0.37407947654963625
uncoupled_cpl	extractionPatterns(sportsTeam, debut against _ 0.3224042777443108)	0.3224042777443108
uncoupled_cpl	extractionPatterns(sportsTeam, difference between _ 0.13119532968747216)	0.13119532968747216
uncoupled_cpl	extractionPatterns(sportsTeam, factories in _ 0.44287974578380274)	0.44287974578380274
uncoupled_cpl	extractionPatterns(sportsTeam, game against _ 0.3145853048606338)	0.3145853048606338
uncoupled_cpl	extractionPatterns(sportsTeam, goal against _ 0.3162089657272867)	0.3162089657272867
uncoupled_cpl	extractionPatterns(sportsTeam, governor of _ 0.41482563652177606)	0.41482563652177606
uncoupled_cpl	extractionPatterns(sportsTeam, higher education in _ 0.41615645320070627)	0.41615645320070627
uncoupled_cpl	extractionPatterns(sportsTeam, linebacker for _ 0.1341107939683234)	0.1341107939683234
uncoupled_cpl	extractionPatterns(sportsTeam, native of _ 0.3400233456679198)	0.3400233456679198
uncoupled_cpl	extractionPatterns(sportsTeam, newspapers in _ 0.3761233992274152)	0.3761233992274152
uncoupled_cpl	extractionPatterns(sportsTeam, night against _ 0.08374381179682683)	0.08374381179682683
uncoupled_cpl	extractionPatterns(sportsTeam, opener against _ 0.22263803226394432)	0.22263803226394432
uncoupled_cpl	extractionPatterns(sportsTeam, other cities in _ 0.46861066213419267)	0.46861066213419267
uncoupled_cpl	extractionPatterns(sportsTeam, pitcher for _ 0.10795454716796885)	0.10795454716796885
uncoupled_cpl	extractionPatterns(sportsTeam, place in _ 1.3071222956440236)	1.3071222956440236
uncoupled_cpl	extractionPatterns(sportsTeam, politicians in _ 0.3739773667911544)	0.3739773667911544
uncoupled_cpl	extractionPatterns(sportsTeam, province of _ 0.3777959665965147)	0.3777959665965147
uncoupled_cpl	extractionPatterns(sportsTeam, provinces of _ 0.37137126591718705)	0.37137126591718705
uncoupled_cpl	extractionPatterns(sportsTeam, quarterback for _ 0.0946969960490676)	0.0946969960490676
uncoupled_cpl	extractionPatterns(sportsTeam, quarterback of _ 0.12459011620157957)	0.12459011620157957
uncoupled_cpl	extractionPatterns(sportsTeam, regime in _ 0.3850134539423964)	0.3850134539423964
uncoupled_cpl	extractionPatterns(sportsTeam, regions such as _ 0.39545748278230275)	0.39545748278230275
uncoupled_cpl	extractionPatterns(sportsTeam, relatives in _ 0.3702258700514564)	0.3702258700514564
uncoupled_cpl	extractionPatterns(sportsTeam, rural areas of _ 0.3834538516868876)	0.3834538516868876
uncoupled_cpl	extractionPatterns(sportsTeam, season against _ 0.372000157991778)	0.372000157991778
uncoupled_cpl	extractionPatterns(sportsTeam, series against _ 0.23419433894351774)	0.23419433894351774
uncoupled_cpl	extractionPatterns(sportsTeam, small town in _ 0.4469399649446634)	0.4469399649446634
uncoupled_cpl	extractionPatterns(sportsTeam, start against _ 0.25074193905369985)	0.25074193905369985
uncoupled_cpl	extractionPatterns(sportsTeam, states like _ 0.761570142441873)	0.761570142441873
uncoupled_cpl	extractionPatterns(sportsTeam, team like _ 0.32644852488987525)	0.32644852488987525
uncoupled_cpl	extractionPatterns(sportsTeam, trade between _ 0.3743777367333414)	0.3743777367333414
uncoupled_cpl	extractionPatterns(sportsTeam, trade with _ 0.32836089035002736)	0.32836089035002736
uncoupled_cpl	extractionPatterns(sportsTeam, travels in _ 0.37734552475035055)	0.37734552475035055
uncoupled_cpl	extractionPatterns(sportsTeam, Under is D-D in _ 0.15160345739474218)	0.15160345739474218
uncoupled_cpl	extractionPatterns(sportsTeam, version of _ 0.12499994270999265)	0.12499994270999265
uncoupled_cpl	extractionPatterns(sportsTeam, week against _ 0.32555039694311805)	0.32555039694311805
uncoupled_cpl	extractionPatterns(sportsTeam, wilds of _ 0.3954614373769035)	0.3954614373769035
uncoupled_cpl	extractionPatterns(sportsTeam, win against _ 0.3759323770643451)	0.3759323770643451
uncoupled_cpl	extractionPatterns(sport, _ stored on 0.3479219868698962)	0.3479219868698962
uncoupled_cpl	extractionPatterns(sport, time playing _ 0.10170559120552868)	0.10170559120552868
uncoupled_cpl	extractionPatterns(sport, ton of _ 0.1643496678279339)	0.1643496678279339
uncoupled_cpl	extractionPatterns(sport, trails for _ 0.1407733681233393)	0.1407733681233393
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 acquire the arg2 0.0724812769093403)	0.0724812769093403
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 and activities for arg2 0.024564990502227706)	0.024564990502227706
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 and baseball arg2 7.262167746759474E-4)	7.262167746759474E-4
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 and basketball arg2 0.005241702126995732)	0.005241702126995732
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 and diving arg2 0.02633042932662846)	0.02633042932662846
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 and football arg2 0.0038806679038261255)	0.0038806679038261255
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 and hockey arg2 0.0074468064717674665)	0.0074468064717674665
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 and lacrosse arg2 0.006205675515087872)	0.006205675515087872
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 and racquetball arg2 0.021835547891667955)	0.021835547891667955
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 and rugby arg2 0.006737589897357793)	0.006737589897357793
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 and soccer arg2 0.040317768560180885)	0.040317768560180885
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 and softball arg2 0.056206548922575685)	0.056206548922575685
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 and squash arg2 0.04435348472644351)	0.04435348472644351
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 and tennis arg2 0.029754973038569957)	0.029754973038569957
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 and volleyball arg2 0.03197618090706966)	0.03197618090706966
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 are given the arg2 0.05716113897696164)	0.05716113897696164
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 ball and arg2 0.002297970354969925)	0.002297970354969925
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 clubs and arg2 3.363040151829994E-4)	3.363040151829994E-4
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 develop the arg2 0.09200503271549329)	0.09200503271549329
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 hitting a arg2 0.001531980402266196)	0.001531980402266196
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 is to get the arg2 2.080949691527228E-4)	2.080949691527228E-4
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 off a arg2 9.174734580535707E-5)	9.174734580535707E-5
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 or baseball arg2 0.01115537315323534)	0.01115537315323534
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 or basketball arg2 0.011524823554746558)	0.011524823554746558
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 or football arg2 0.014697115925360783)	0.014697115925360783
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 stored on the arg2 0.08915195549754339)	0.08915195549754339
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 stored on your arg2 0.018284876163077148)	0.018284876163077148
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 the unique arg2 0.08552786925096076)	0.08552786925096076
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 were given the arg2 0.08060367781915392)	0.08060367781915392
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 will be given the arg2 0.1165354220802377)	0.1165354220802377
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 will have the arg2 0.023346668072897044)	0.023346668072897044
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 with a real arg2 2.080949691527228E-4)	2.080949691527228E-4
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 with practical arg2 0.01633944754659098)	0.01633944754659098
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 with the knowledge and arg2 0.14748113642865462)	0.14748113642865462
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg1 with the necessary arg2 0.08255405401579355)	0.08255405401579355
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg2 and play arg1 1.437866434233377E-4)	1.437866434233377E-4
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg2 and the game of arg1 0.001531980402266196)	0.001531980402266196
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg2 dress up arg1 0.01650286956774636)	0.01650286956774636
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg2 generated arg1 0.018156820567849435)	0.018156820567849435
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg2 in college arg1 0.005558866824692308)	0.005558866824692308
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg2 in special arg1 0.017523770595351793)	0.017523770595351793
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg2 playing video arg1 0.06491133611708631)	0.06491133611708631
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg2 sports such as arg1 0.007171316707623363)	0.007171316707623363
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg2 strategy arg1 0.014611388793540923)	0.014611388793540923
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg2 to graduate arg1 0.02080841097944963)	0.02080841097944963
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg2 to meet new arg1 0.10797128141965087)	0.10797128141965087
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg2 to meet other arg1 0.09245603913746488)	0.09245603913746488
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg2 to play video arg1 0.007092197804100526)	0.007092197804100526
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg2 when playing arg1 0.0011476659588938044)	0.0011476659588938044
uncoupled_cpl	extractionPatterns(sportUsesEquipment, arg2 you play the arg1 0.015176455990249242)	0.015176455990249242
uncoupled_cpl	extractionPatterns(sportUsesStadium, arg1 game at arg2 6.148802651041797E-4)	6.148802651041797E-4
uncoupled_cpl	extractionPatterns(sport, world of professional _ 0.12300318864532593)	0.12300318864532593
uncoupled_cpl	extractionPatterns(sport, years of _ 0.27630802581724195)	0.27630802581724195
uncoupled_cpl	extractionPatterns(stadium, assistant at _ 0.08682844531491757)	0.08682844531491757
uncoupled_cpl	extractionPatterns(stadium, Associated Students of _ 0.29616308901139166)	0.29616308901139166
uncoupled_cpl	extractionPatterns(stadium, baseball at _ 0.08192566231692265)	0.08192566231692265
uncoupled_cpl	extractionPatterns(stadium, baseball game at _ 0.12345679773807343)	0.12345679773807343
uncoupled_cpl	extractionPatterns(stadium, baseball games at _ 0.13944221401387738)	0.13944221401387738
uncoupled_cpl	extractionPatterns(stadium, BFA from _ 0.2804294782690122)	0.2804294782690122
uncoupled_cpl	extractionPatterns(stadium, biology from _ 0.5442018789261174)	0.5442018789261174
uncoupled_cpl	extractionPatterns(stadium, bleachers at _ 0.11032033597975066)	0.11032033597975066
uncoupled_cpl	extractionPatterns(stadium, business administration from _ 0.3292094844476236)	0.3292094844476236
uncoupled_cpl	extractionPatterns(stadium, candidate at _ 0.17699938871532606)	0.17699938871532606
uncoupled_cpl	extractionPatterns(stadium, chemistry from _ 0.3016912908966299)	0.3016912908966299
uncoupled_cpl	extractionPatterns(stadium, creative writing at _ 0.2866469384876423)	0.2866469384876423
uncoupled_cpl	extractionPatterns(stadium, degree from _ 0.21133156093311745)	0.21133156093311745
uncoupled_cpl	extractionPatterns(stadium, degrees from _ 0.5478920502685263)	0.5478920502685263
uncoupled_cpl	extractionPatterns(stadium, department at _ 0.08724761966921052)	0.08724761966921052
uncoupled_cpl	extractionPatterns(stadium, dissertation at _ 0.49034747820695074)	0.49034747820695074
uncoupled_cpl	extractionPatterns(stadium, doctoral student at _ 0.2949639893775691)	0.2949639893775691
uncoupled_cpl	extractionPatterns(stadium, emeritus at _ 0.5502761697284978)	0.5502761697284978
uncoupled_cpl	extractionPatterns(stadium, engineering at _ 0.48206418977081905)	0.48206418977081905
uncoupled_cpl	extractionPatterns(stadium, faculty at _ 0.14889737034382552)	0.14889737034382552
uncoupled_cpl	extractionPatterns(stadium, final season at _ 0.11155383271229806)	0.11155383271229806
uncoupled_cpl	extractionPatterns(stadium, first game at _ 0.06653228236598983)	0.06653228236598983
uncoupled_cpl	extractionPatterns(stadium, first pitch at _ 0.09465022728585501)	0.09465022728585501
uncoupled_cpl	extractionPatterns(stadium, friendly confines of _ 0.08771932942109764)	0.08771932942109764
uncoupled_cpl	extractionPatterns(stadium, graduate studies at _ 0.5674066707382434)	0.5674066707382434
uncoupled_cpl	extractionPatterns(stadium, graduate study at _ 0.5513144185505231)	0.5513144185505231
uncoupled_cpl	extractionPatterns(stadium, graduate work at _ 0.6101417327701856)	0.6101417327701856
uncoupled_cpl	extractionPatterns(stadium, history at _ 0.14088744074469395)	0.14088744074469395
uncoupled_cpl	extractionPatterns(stadium, home games at _ 0.08242751317856964)	0.08242751317856964
uncoupled_cpl	extractionPatterns(stadium, journalism at _ 0.4644929028324892)	0.4644929028324892
uncoupled_cpl	extractionPatterns(stadium, journalism from _ 0.3259634566709654)	0.3259634566709654
uncoupled_cpl	extractionPatterns(stadium, last game at _ 0.09561754028212058)	0.09561754028212058
uncoupled_cpl	extractionPatterns(stadium, laude , from _ 0.5519714251928096)	0.5519714251928096
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 and downtown arg2 8.123477873147536E-4)	8.123477873147536E-4
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 and has lived in arg2 3.981686096715932E-4)	3.981686096715932E-4
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 and the City of arg2 3.981686096715932E-4)	3.981686096715932E-4
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 and the Medical College of arg2 0.05533597718407843)	0.05533597718407843
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 and the University of arg2 0.0012891489590336532)	0.0012891489590336532
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 and University of arg2 6.643416551035345E-4)	6.643416551035345E-4
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 Car Rental and tour arg2 0.005208335270978391)	0.005208335270978391
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 College at the University of arg2 0.03950618646387427)	0.03950618646387427
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 College of Law in arg2 0.05172412354543181)	0.05172412354543181
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 Conservatory of Music in arg2 0.005758155967861543)	0.005758155967861543
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 Here I am in arg2 0.005208335270978391)	0.005208335270978391
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 in downtown arg2 3.166495234426896E-4)	3.166495234426896E-4
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 is a baseball stadium in arg2 0.009009010822633823)	0.009009010822633823
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 is located in downtown arg2 0.0015290525251640062)	0.0015290525251640062
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 Law School in arg2 0.005970151350836913)	0.005970151350836913
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 Medical Centre in arg2 0.037931021213807974)	0.037931021213807974
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 Medical School in arg2 0.036953238129053)	0.036953238129053
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 near downtown arg2 0.002208724675347383)	0.002208724675347383
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 or the University of arg2 0.054085129582400464)	0.054085129582400464
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 or University of arg2 0.04491726666127019)	0.04491726666127019
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 River in downtown arg2 0.03731342863868721)	0.03731342863868721
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 River south of arg2 0.03780068707252352)	0.03780068707252352
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 suburbs of arg2 0.040677954164821534)	0.040677954164821534
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 theater events or arg2 0.035573119377556306)	0.035573119377556306
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 University and the University of arg2 0.033311686420615494)	0.033311686420615494
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 University and The University of arg2 0.05597013690720173)	0.05597013690720173
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 University and University of arg2 0.05395229763257235)	0.05395229763257235
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg1 University College of Law in arg2 0.041044764122529165)	0.041044764122529165
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg2 and graduated from arg1 0.0011265493396310927)	0.0011265493396310927
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg2 concert at arg1 7.757951923500287E-4)	7.757951923500287E-4
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg2 State University and University of arg1 0.03952570734124715)	0.03952570734124715
uncoupled_cpl	extractionPatterns(stadiumLocatedInCity, arg2 tonight at arg1 9.216592313129914E-4)	9.216592313129914E-4
uncoupled_cpl	extractionPatterns(stadium, magna cum laude from _ 0.5844400906923854)	0.5844400906923854
uncoupled_cpl	extractionPatterns(stadium, main campus of _ 0.3145727217001043)	0.3145727217001043
uncoupled_cpl	extractionPatterns(stadium, MFA from _ 0.38659795574498146)	0.38659795574498146
uncoupled_cpl	extractionPatterns(stadium, mound at _ 0.09975670574080157)	0.09975670574080157
uncoupled_cpl	extractionPatterns(stadium, opener at _ 0.05737704319463639)	0.05737704319463639
uncoupled_cpl	extractionPatterns(stadium, professor at _ 0.49022882847442134)	0.49022882847442134
uncoupled_cpl	extractionPatterns(stadium, professorship at _ 0.47309834242373966)	0.47309834242373966
uncoupled_cpl	extractionPatterns(stadium, program at _ 0.08006055445086172)	0.08006055445086172
uncoupled_cpl	extractionPatterns(stadium, school at _ 0.07994135305182547)	0.07994135305182547
uncoupled_cpl	extractionPatterns(stadium, seating chart of _ 0.05956113588949787)	0.05956113588949787
uncoupled_cpl	extractionPatterns(stadium, sellout crowd at _ 0.06583069895389038)	0.06583069895389038
uncoupled_cpl	extractionPatterns(stadium, sociology at _ 0.30217136160422914)	0.30217136160422914
uncoupled_cpl	extractionPatterns(stadium, students at _ 0.07053388826823212)	0.07053388826823212
uncoupled_cpl	extractionPatterns(stadium, undergraduates at _ 0.4498383423418404)	0.4498383423418404
uncoupled_cpl	extractionPatterns(stadium, undergraduate student at _ 0.4929216709583611)	0.4929216709583611
uncoupled_cpl	extractionPatterns(stadium, venues , including _ 0.06025492302445428)	0.06025492302445428
uncoupled_cpl	extractionPatterns(stadium, Yankees at _ 0.11155383271229806)	0.11155383271229806
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 Auto Loans and arg2 0.10204085568128576)	0.10204085568128576
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 Book Festival in arg2 0.14285716415076063)	0.14285716415076063
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 Botanical Garden in arg2 0.15677964414454018)	0.15677964414454018
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 chocolate fountain rentals in arg2 0.21518976763273095)	0.21518976763273095
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 chocolate fountain rentals including arg2 0.23376615521086186)	0.23376615521086186
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 College of Art in arg2 0.10965633840475618)	0.10965633840475618
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 Convention Center in downtown arg2 0.11627909340226542)	0.11627909340226542
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 Department of Health in arg2 0.18181819858880538)	0.18181819858880538
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 Department of Transportation in arg2 0.1318681129752343)	0.1318681129752343
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 General Hospital in arg2 0.2699452819409317)	0.2699452819409317
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 Health Sciences Center in arg2 0.2703702400113233)	0.2703702400113233
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 Historical Center in arg2 0.11038963890958824)	0.11038963890958824
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 Historical Society in arg2 0.04736844449168159)	0.04736844449168159
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 History Center in arg2 0.16800005032925908)	0.16800005032925908
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 Hotels Planning your trip to arg2 0.10714288087576275)	0.10714288087576275
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 including cities such as arg2 0.23376615521086186)	0.23376615521086186
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 Institute of Art in arg2 0.14285716415076063)	0.14285716415076063
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 International Convention Center in arg2 0.14285716415076063)	0.14285716415076063
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 International Marathon in arg2 0.12222227080946345)	0.12222227080946345
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 Museum of History in arg2 0.21686743732780722)	0.21686743732780722
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 Pacific University in arg2 0.10465113337506919)	0.10465113337506919
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 School for the Blind in arg2 0.17475732180585396)	0.17475732180585396
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 singles go here for arg2 0.19047620506734006)	0.19047620506734006
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 State Archives in arg2 0.03787878826334358)	0.03787878826334358
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 State Capital in arg2 0.10714288087576275)	0.10714288087576275
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 state capital of arg2 0.18072296506526575)	0.18072296506526575
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 State Capitol Building in arg2 0.10714288087576275)	0.10714288087576275
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 State Capitol building in arg2 0.18181819858880538)	0.18181819858880538
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 State Capitol in arg2 0.11038963890958824)	0.11038963890958824
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 state capitol in arg2 0.1927710622760141)	0.1927710622760141
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 State Fairgrounds in arg2 0.08441560509336099)	0.08441560509336099
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 State Fair in arg2 0.04166665959783167)	0.04166665959783167
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 State Historical Society in arg2 0.24050629864191383)	0.24050629864191383
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 Statehouse in arg2 0.026515150297867527)	0.026515150297867527
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 State House in arg2 0.2531644503577517)	0.2531644503577517
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 State Journal in arg2 0.14285716415076063)	0.14285716415076063
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 State Library and Archives in arg2 0.14285716415076063)	0.14285716415076063
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 State Library in arg2 0.08441560509336099)	0.08441560509336099
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 State Museum in arg2 0.03787878826334358)	0.03787878826334358
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 State Penitentiary in arg2 0.07142859497252234)	0.07142859497252234
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 State Prison in arg2 0.10112357451194921)	0.10112357451194921
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 State University campus in arg2 0.11570250432843869)	0.11570250432843869
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 State University in arg2 0.100456146494637)	0.100456146494637
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 The table below shows arg2 0.1543624300025182)	0.1543624300025182
uncoupled_cpl	extractionPatterns(stateHasCapital, arg1 Wesleyan University in arg2 0.11656444301329191)	0.11656444301329191
uncoupled_cpl	extractionPatterns(stateHasCapital, arg2 and the great state of arg1 0.18181819858880538)	0.18181819858880538
uncoupled_cpl	extractionPatterns(stateHasCapital, arg2 and throughout the state of arg1 0.11818181916637668)	0.11818181916637668
uncoupled_cpl	extractionPatterns(stateHasCapital, arg2 is the capitol of arg1 0.16867474571734087)	0.16867474571734087
uncoupled_cpl	extractionPatterns(stateHasCapital, arg2 is the state capital of arg1 0.20253167194475924)	0.20253167194475924
uncoupled_cpl	extractionPatterns(stateHasCapital, arg2 wedding limousine service companies in arg1 0.12790697974426174)	0.12790697974426174
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 Africa and Central arg2 0.30263161658178095)	0.30263161658178095
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 America and East arg2 0.27564099574940487)	0.27564099574940487
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 America and Eastern arg2 0.28282837897842855)	0.28282837897842855
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 America and parts of arg2 0.3269231993640343)	0.3269231993640343
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and across arg2 0.008207835764108098)	0.008207835764108098
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and all across arg2 0.011095695929045163)	0.011095695929045163
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and Central and Eastern arg2 0.20901630828285622)	0.20901630828285622
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and Eastern arg2 0.38008894038623525)	0.38008894038623525
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and elsewhere in arg2 0.006267410550451035)	0.006267410550451035
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and in Eastern arg2 0.2117116651694843)	0.2117116651694843
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and in Southeast arg2 0.3294116811391065)	0.3294116811391065
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and in Western arg2 0.2008196575079767)	0.2008196575079767
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and mainland arg2 0.19019317743360242)	0.19019317743360242
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and other countries in arg2 0.22294370128521016)	0.22294370128521016
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and Southeast arg2 0.17871927505260826)	0.17871927505260826
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and South East arg2 0.20209972808929763)	0.20209972808929763
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and South Eastern arg2 0.2692308739524504)	0.2692308739524504
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and the applicable laws of arg2 0.01687763341797915)	0.01687763341797915
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and the federal laws of arg2 0.0956399174045678)	0.0956399174045678
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and the fourth largest in arg2 0.01525658600464975)	0.01525658600464975
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and the Government of arg2 0.012791568961000893)	0.012791568961000893
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and the laws of arg2 0.05393260863739667)	0.05393260863739667
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and the southeastern arg2 0.03190013618749439)	0.03190013618749439
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and the southwestern arg2 0.27016132457201464)	0.27016132457201464
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 and throughout arg2 0.00641605394863621)	0.00641605394863621
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 Asia and Eastern arg2 0.28205138734986673)	0.28205138734986673
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 East and Central arg2 0.7635573824821978)	0.7635573824821978
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 East and South East arg2 0.2828948514576989)	0.2828948514576989
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 Europe and Central arg2 0.7356947412675053)	0.7356947412675053
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 Europe and Eastern arg2 0.27631576255027857)	0.27631576255027857
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 Europe and Western arg2 0.28823533416495645)	0.28823533416495645
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 is the largest country in arg2 0.21621629642474752)	0.21621629642474752
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 is the only country in arg2 0.30249122808433715)	0.30249122808433715
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 is the only state in arg2 0.2117116651694843)	0.2117116651694843
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 or anywhere else in arg2 0.014064702346121687)	0.014064702346121687
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 or Southeast arg2 0.27659581223896107)	0.27659581223896107
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 or the rest of arg2 0.011415525090666043)	0.011415525090666043
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg1 secedes from arg2 0.01248265747508937)	0.01248265747508937
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 and North and arg1 0.24519241728765237)	0.24519241728765237
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 and the Province of arg1 0.04922645976228737)	0.04922645976228737
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 and the State of arg1 0.03828649714187901)	0.03828649714187901
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 Attorney for the District of arg1 0.301282173463842)	0.301282173463842
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 Congressman from arg1 0.26203216908265525)	0.26203216908265525
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 Conservatory of Music in arg1 0.23032636444637977)	0.23032636444637977
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 House of Representatives from arg1 0.2727272683991621)	0.2727272683991621
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 Representative from arg1 0.27096787704975556)	0.27096787704975556
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 Senate from arg1 0.1917808433077252)	0.1917808433077252
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 Senator from arg1 0.1781525630500687)	0.1781525630500687
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 senator from arg1 0.22169804070384122)	0.22169804070384122
uncoupled_cpl	extractionPatterns(stateLocatedInCountry, arg2 Senators from arg1 0.2717390630926278)	0.2717390630926278
uncoupled_cpl	extractionPatterns(stateOrProvince, border between _ 0.25471449207734)	0.25471449207734
uncoupled_cpl	extractionPatterns(stateOrProvince, border into _ 0.3911187721635057)	0.3911187721635057
uncoupled_cpl	extractionPatterns(stateOrProvince, border with _ 0.277826072381684)	0.277826072381684
uncoupled_cpl	extractionPatterns(stateOrProvince, camps in _ 0.40829227530516593)	0.40829227530516593
uncoupled_cpl	extractionPatterns(stateOrProvince, capital city of _ 0.3840179433546644)	0.3840179433546644
uncoupled_cpl	extractionPatterns(stateOrProvince, centres in _ 0.39627613505138715)	0.39627613505138715
uncoupled_cpl	extractionPatterns(stateOrProvince, churches in _ 0.36224844152464475)	0.36224844152464475
uncoupled_cpl	extractionPatterns(stateOrProvince, cities in _ 0.440525916965787)	0.440525916965787
uncoupled_cpl	extractionPatterns(stateOrProvince, coast of _ 0.2616294733589971)	0.2616294733589971
uncoupled_cpl	extractionPatterns(stateOrProvince, coasts of _ 0.4561452452041483)	0.4561452452041483
uncoupled_cpl	extractionPatterns(stateOrProvince, colleges in _ 0.2747636514847761)	0.2747636514847761
uncoupled_cpl	extractionPatterns(stateOrProvince, communities across _ 0.3721582916599488)	0.3721582916599488
uncoupled_cpl	extractionPatterns(stateOrProvince, communities throughout _ 0.3633975009140851)	0.3633975009140851
uncoupled_cpl	extractionPatterns(stateOrProvince, conquest of _ 0.3924579033983161)	0.3924579033983161
uncoupled_cpl	extractionPatterns(stateOrProvince, counties in _ 0.22425555654503454)	0.22425555654503454
uncoupled_cpl	extractionPatterns(stateOrProvince, counties of _ 0.38364063919172486)	0.38364063919172486
uncoupled_cpl	extractionPatterns(stateOrProvince, democracy in _ 0.41907096745546085)	0.41907096745546085
uncoupled_cpl	extractionPatterns(stateOrProvince, destinations in _ 0.4384318041574845)	0.4384318041574845
uncoupled_cpl	extractionPatterns(stateOrProvince, exile in _ 0.4170938594069217)	0.4170938594069217
uncoupled_cpl	extractionPatterns(stateOrProvince, farms in _ 0.3559674446229657)	0.3559674446229657
uncoupled_cpl	extractionPatterns(stateOrProvince, festivals in _ 0.39276021235794567)	0.39276021235794567
uncoupled_cpl	extractionPatterns(stateOrProvince, governor of _ 0.2763867848272256)	0.2763867848272256
uncoupled_cpl	extractionPatterns(stateOrProvince, higher education in _ 0.411503810040591)	0.411503810040591
uncoupled_cpl	extractionPatterns(stateOrProvince, holiday in _ 0.39528272919830004)	0.39528272919830004
uncoupled_cpl	extractionPatterns(stateOrProvince, holidays in _ 0.3921872008480912)	0.3921872008480912
uncoupled_cpl	extractionPatterns(stateOrProvince, home state of _ 0.4885590180282463)	0.4885590180282463
uncoupled_cpl	extractionPatterns(stateOrProvince, human rights in _ 0.38180624923537165)	0.38180624923537165
uncoupled_cpl	extractionPatterns(stateOrProvince, mountains of _ 0.37525405589974825)	0.37525405589974825
uncoupled_cpl	extractionPatterns(stateOrProvince, nation of _ 0.26938788131516384)	0.26938788131516384
uncoupled_cpl	extractionPatterns(stateOrProvince, native of _ 0.2626526085430095)	0.2626526085430095
uncoupled_cpl	extractionPatterns(stateOrProvince, newspapers in _ 0.3759947870188207)	0.3759947870188207
uncoupled_cpl	extractionPatterns(stateOrProvince, place in _ 0.37855685728065225)	0.37855685728065225
uncoupled_cpl	extractionPatterns(stateOrProvince, plains of _ 0.37843119726475194)	0.37843119726475194
uncoupled_cpl	extractionPatterns(stateOrProvince, popularity in _ 0.354643223176366)	0.354643223176366
uncoupled_cpl	extractionPatterns(stateOrProvince, poverty in _ 0.3555440953066663)	0.3555440953066663
uncoupled_cpl	extractionPatterns(stateOrProvince, province of _ 0.3829434311719703)	0.3829434311719703
uncoupled_cpl	extractionPatterns(stateOrProvince, provinces of _ 0.2641392111117997)	0.2641392111117997
uncoupled_cpl	extractionPatterns(stateOrProvince, refugees in _ 0.3721553144055245)	0.3721553144055245
uncoupled_cpl	extractionPatterns(stateOrProvince, regime in _ 0.41656406986419015)	0.41656406986419015
uncoupled_cpl	extractionPatterns(stateOrProvince, relatives in _ 0.3908013126265239)	0.3908013126265239
uncoupled_cpl	extractionPatterns(stateOrProvince, resorts in _ 0.3793310394979349)	0.3793310394979349
uncoupled_cpl	extractionPatterns(stateOrProvince, senator from _ 0.26176660312789896)	0.26176660312789896
uncoupled_cpl	extractionPatterns(stateOrProvince, small town in _ 0.3259667163218304)	0.3259667163218304
uncoupled_cpl	extractionPatterns(stateOrProvince, states , including _ 0.20269720793298152)	0.20269720793298152
uncoupled_cpl	extractionPatterns(stateOrProvince, tours in _ 0.3793401435521311)	0.3793401435521311
uncoupled_cpl	extractionPatterns(stateOrProvince, towns in _ 0.39020384379841005)	0.39020384379841005
uncoupled_cpl	extractionPatterns(stateOrProvince, treaty with _ 0.3741700147376401)	0.3741700147376401
uncoupled_cpl	extractionPatterns(stateOrProvince, universities in _ 0.27194729495757924)	0.27194729495757924
uncoupled_cpl	extractionPatterns(stateOrProvince, university in _ 0.374001302108551)	0.374001302108551
uncoupled_cpl	extractionPatterns(stateOrProvince, vacation in _ 0.3795013973771514)	0.3795013973771514
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 are playing at home in arg2 0.00784314011449841)	0.00784314011449841
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 at home at arg2 0.002518892394678161)	0.002518892394678161
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 baseball at arg2 0.003913895928155941)	0.003913895928155941
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 baseball game at arg2 0.06521739833615159)	0.06521739833615159
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 baseball games at arg2 0.0869565248147135)	0.0869565248147135
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 basketball at arg2 0.006329114133082072)	0.006329114133082072
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 basketball game at arg2 0.002518892394678161)	0.002518892394678161
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 basketball games at arg2 0.005870843257547792)	0.005870843257547792
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 currently play at arg2 0.00784314011449841)	0.00784314011449841
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 fans at arg2 0.010339735401770727)	0.010339735401770727
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 fans into arg2 0.00784314011449841)	0.00784314011449841
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 football at arg2 0.009273568704230548)	0.009273568704230548
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 football games at arg2 0.00784314011449841)	0.00784314011449841
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 game at arg2 6.148802651041797E-4)	6.148802651041797E-4
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 games are played at arg2 0.020618552534916658)	0.020618552534916658
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 games at arg2 0.0010683765774334461)	0.0010683765774334461
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 Games at arg2 0.004687499473526317)	0.004687499473526317
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 have played in arg2 0.00831353807162608)	0.00831353807162608
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 hockey games at arg2 0.04347827025779013)	0.04347827025779013
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 home game at arg2 0.04347827025779013)	0.04347827025779013
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 home games at arg2 0.03260870505590126)	0.03260870505590126
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 in Pittsburgh at arg2 0.003984063502517076)	0.003984063502517076
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 lease at arg2 0.01546391552157567)	0.01546391552157567
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 locker room at arg2 0.003984063502517076)	0.003984063502517076
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 on Friday at arg2 0.0036719699125773984)	0.0036719699125773984
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 on Monday at arg2 0.007518797956554604)	0.007518797956554604
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 on Saturday at arg2 0.0030234309992292797)	0.0030234309992292797
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 on Sunday at arg2 9.81354301494333E-4)	9.81354301494333E-4
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 on Wednesday at arg2 0.0059760946077109574)	0.0059760946077109574
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 play at arg2 0.00270544464842108)	0.00270544464842108
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 play home games at arg2 0.01546391552157567)	0.01546391552157567
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 play out of arg2 0.003984063502517076)	0.003984063502517076
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 play their home games at arg2 0.002518892394678161)	0.002518892394678161
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 schedule at arg2 0.004581902381304609)	0.004581902381304609
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 tickets at arg2 0.002556357206703156)	0.002556357206703156
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 Tickets at arg2 9.81354301494333E-4)	9.81354301494333E-4
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 tickets at the outlet inside arg2 0.008670524448465894)	0.008670524448465894
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 tickets for all games at arg2 0.008670524448465894)	0.008670524448465894
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 tonight at arg2 0.002764976895778203)	0.002764976895778203
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg1 victory at arg2 0.00360685167260792)	0.00360685167260792
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg2 and cheer arg1 0.0059760946077109574)	0.0059760946077109574
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg2 and cheer on arg1 0.01546391552157567)	0.01546391552157567
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg2 Field and arg1 0.0024691359681643004)	0.0024691359681643004
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg2 Field to watch arg1 0.01568627739668317)	0.01568627739668317
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg2 Field where arg1 0.0035252638304533856)	0.0035252638304533856
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg2 for a game between arg1 0.01546391552157567)	0.01546391552157567
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg2 has been the home of arg1 0.011173180170736085)	0.011173180170736085
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg2 Home of arg1 9.835254927833168E-4)	9.835254927833168E-4
uncoupled_cpl	extractionPatterns(teamHomeStadium, arg2 Home to arg1 0.002325581880668906)	0.002325581880668906
uncoupled_cpl	extractionPatterns(teammates, arg1 scored points and arg2 0.005555554727167898)	0.005555554727167898
uncoupled_cpl	extractionPatterns(teammates, arg1 scored twice and arg2 0.016260165444105492)	0.016260165444105492
uncoupled_cpl	extractionPatterns(teammates, arg2 scored points and arg1 0.005555554727167898)	0.005555554727167898
uncoupled_cpl	extractionPatterns(teammates, arg2 scored twice and arg1 0.016260165444105492)	0.016260165444105492
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 and Eastern arg2 0.31379103758677945)	0.31379103758677945
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 and North and South arg2 0.2903224723980957)	0.2903224723980957
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 and Northern arg2 0.17647465688009717)	0.17647465688009717
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 and northwestern arg2 0.2987652891424677)	0.2987652891424677
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 and Republic of arg2 0.3545584735740077)	0.3545584735740077
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 and sets in arg2 0.0653152978399275)	0.0653152978399275
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 and the north of arg2 0.1752021200168956)	0.1752021200168956
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 and the North of arg2 0.20215632393621147)	0.20215632393621147
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 and the Republic of arg2 0.3410193699293467)	0.3410193699293467
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 and West is arg2 0.0765765794724013)	0.0765765794724013
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 beat arg2 5.076466110500935E-4)	5.076466110500935E-4
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 can beat arg2 0.0021439507652638795)	0.0021439507652638795
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 declared war on arg2 0.1398678822710667)	0.1398678822710667
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 declares war on arg2 0.14511496335173882)	0.14511496335173882
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 declare war on arg2 0.30434784643986396)	0.30434784643986396
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 defeat arg2 0.0012251144632045227)	0.0012251144632045227
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 game against arg2 9.840587080887002E-4)	9.840587080887002E-4
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 Germany from arg2 0.060810792350347816)	0.060810792350347816
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 lost to arg2 0.001314845645618167)	0.001314845645618167
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 military bases in arg2 0.48192778490731253)	0.48192778490731253
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 military in arg2 0.36800012541928123)	0.36800012541928123
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 or Northern arg2 0.14345110981307385)	0.14345110981307385
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 troops out of arg2 0.46987950006037515)	0.46987950006037515
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 was at war with arg2 0.34331805067993265)	0.34331805067993265
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg1 went to war with arg2 0.22018349766191547)	0.22018349766191547
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 and Eastern arg1 0.31379103758677945)	0.31379103758677945
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 and Northern arg1 0.17647465688009717)	0.17647465688009717
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 and northwestern arg1 0.2987652891424677)	0.2987652891424677
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 and Republic of arg1 0.3545584735740077)	0.3545584735740077
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 and sets in arg1 0.0653152978399275)	0.0653152978399275
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 and the North of arg1 0.20215632393621147)	0.20215632393621147
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 and the north of arg1 0.37666653707220976)	0.37666653707220976
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 and the Republic of arg1 0.3410193699293467)	0.3410193699293467
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 and West is arg1 0.0765765794724013)	0.0765765794724013
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 beat arg1 5.076466110500935E-4)	5.076466110500935E-4
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 can beat arg1 0.0021439507652638795)	0.0021439507652638795
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 declared war on arg1 0.37995593253483184)	0.37995593253483184
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 declares war on arg1 0.14511496335173882)	0.14511496335173882
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 declare war on arg1 0.30434784643986396)	0.30434784643986396
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 defeat arg1 8.726002594019986E-4)	8.726002594019986E-4
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 foreign policy in arg1 0.3978103081508238)	0.3978103081508238
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 game against arg1 9.840587080887002E-4)	9.840587080887002E-4
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 lost to arg1 0.001314845645618167)	0.001314845645618167
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 military bases in arg1 0.48192778490731253)	0.48192778490731253
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 military in arg1 0.36800012541928123)	0.36800012541928123
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 military presence in arg1 0.41063809493462294)	0.41063809493462294
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 or Northern arg1 0.14345110981307385)	0.14345110981307385
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 troops out of arg1 0.46987950006037515)	0.46987950006037515
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 was at war with arg1 0.34331805067993265)	0.34331805067993265
uncoupled_cpl	extractionPatterns(teamPlaysAgainstTeam, arg2 went to war with arg1 0.22018349766191547)	0.22018349766191547
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 Academy of Fine Arts in arg2 0.17708330631247643)	0.17708330631247643
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 and the city of arg2 2.167786003810689E-4)	2.167786003810689E-4
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 are currently based in arg2 2.167786003810689E-4)	2.167786003810689E-4
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 College of Medicine in arg2 0.05102038603247784)	0.05102038603247784
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 College of Optometry in arg2 0.10756972898183806)	0.10756972898183806
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 Conservatory of Music in arg2 0.22840680669556776)	0.22840680669556776
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 Flower Show in arg2 0.10588231896926281)	0.10588231896926281
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 game in arg2 6.110602468324104E-4)	6.110602468324104E-4
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 Health System in arg2 0.026063093695476984)	0.026063093695476984
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 Law School in arg2 0.12835826236912956)	0.12835826236912956
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 left arg2 4.1596314016306216E-5)	4.1596314016306216E-5
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 Medical College in arg2 0.15458270784847847)	0.15458270784847847
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 play in arg2 9.892663926936567E-5)	9.892663926936567E-5
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 Presbyterian Hospital in arg2 0.11764707805838637)	0.11764707805838637
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 Presbyterian Medical Center in arg2 0.11553786121599265)	0.11553786121599265
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 Relays in arg2 0.038596487656747815)	0.038596487656747815
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 School of Dentistry in arg2 0.10674152725499438)	0.10674152725499438
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 School of Law in arg2 0.02905028456602025)	0.02905028456602025
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 School of Medicine in arg2 0.028287054985186424)	0.028287054985186424
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 State University at arg2 0.05709875308209678)	0.05709875308209678
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 University and lives in arg2 0.10869570478859913)	0.10869570478859913
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 University and the city of arg2 0.10588231896926281)	0.10588231896926281
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 University and the City of arg2 0.1117647570576153)	0.1117647570576153
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 University at arg2 0.025995885590556857)	0.025995885590556857
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 University campus in arg2 0.03508772236051259)	0.03508772236051259
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 University Campus in arg2 0.11797754137046088)	0.11797754137046088
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 University College of Medicine in arg2 0.12499994270999265)	0.12499994270999265
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 University here in arg2 0.11363633198684088)	0.11363633198684088
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 University Hospital in arg2 0.05379746133551259)	0.05379746133551259
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 University in arg2 0.14989383532041595)	0.14989383532041595
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 University in nearby arg2 0.11363633198684088)	0.11363633198684088
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 University is located in arg2 0.12175322848992134)	0.12175322848992134
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 University Law Center in arg2 0.13043477312100557)	0.13043477312100557
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 University Law School in arg2 0.22772284080177785)	0.22772284080177785
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 University located in arg2 0.14682542250034492)	0.14682542250034492
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 University Medical Center in arg2 0.03163687210027688)	0.03163687210027688
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 University Medical College in arg2 0.15340911070405364)	0.15340911070405364
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 University Medical School in arg2 0.22439015025303616)	0.22439015025303616
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 University near arg2 0.11578942954552289)	0.11578942954552289
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 University School of Law in arg2 0.15571778197747096)	0.15571778197747096
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 University School of Medicine in arg2 0.4370520427570864)	0.4370520427570864
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg1 University School of Music in arg2 0.12499994270999265)	0.12499994270999265
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg2 campus of the University of arg1 0.03658536433888332)	0.03658536433888332
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg2 is also home to arg1 9.892663926936567E-5)	9.892663926936567E-5
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg2 is home to arg1 6.819652141914988E-5)	6.819652141914988E-5
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg2 is the largest city in arg1 0.0380952376776241)	0.0380952376776241
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg2 to attend the University of arg1 0.02828855423883052)	0.02828855423883052
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg2 to face arg1 3.288081855062916E-4)	3.288081855062916E-4
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg2 to play arg1 4.02706355904895E-5)	4.02706355904895E-5
uncoupled_cpl	extractionPatterns(teamPlaysInCity, arg2 to take on arg1 4.09165433834508E-4)	4.09165433834508E-4
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 allies in arg2 0.024213087166273902)	0.024213087166273902
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 ally in arg2 0.020895530386235178)	0.020895530386235178
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 and Democrats in arg2 0.27096787704975556)	0.27096787704975556
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 and its allies in arg2 0.029850759368093047)	0.029850759368093047
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 and Republicans in arg2 0.2976877978129926)	0.2976877978129926
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 and the rest of arg2 2.012477141481842E-4)	2.012477141481842E-4
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 Arabs in arg2 0.09687497978302524)	0.09687497978302524
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 are on top of arg2 0.008163265550896179)	0.008163265550896179
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 are the best team in arg2 0.05494503264191384)	0.05494503264191384
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 dominance in arg2 0.0014587899328993349)	0.0014587899328993349
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 dominated arg2 1.493986980243474E-4)	1.493986980243474E-4
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 extremists in arg2 0.06451613057581944)	0.06451613057581944
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 foreign policy in arg2 0.07317071546606509)	0.07317071546606509
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 for the best record in arg2 0.008163265550896179)	0.008163265550896179
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 gained control of arg2 0.0616438383517059)	0.0616438383517059
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 have control of arg2 0.046666673435244464)	0.046666673435244464
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 have dominated arg2 0.0014587899328993349)	0.0014587899328993349
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 have led arg2 6.856357828644486E-4)	6.856357828644486E-4
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 have taken control of arg2 0.046666673435244464)	0.046666673435244464
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 have the best record in arg2 0.07500001240843804)	0.07500001240843804
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 imperialism in arg2 0.03455285839718444)	0.03455285839718444
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 lead arg2 1.8604648427830232E-4)	1.8604648427830232E-4
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 lost control of arg2 0.09110632936651096)	0.09110632936651096
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 majority in arg2 0.09119830204525525)	0.09119830204525525
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 military presence in arg2 0.02235773349722438)	0.02235773349722438
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 policy toward arg2 0.06548173697689605)	0.06548173697689605
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 regain control of arg2 0.06129034209013948)	0.06129034209013948
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 regained control of arg2 0.09958507251213757)	0.09958507251213757
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 retain control of arg2 0.07883817067286347)	0.07883817067286347
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 take back arg2 0.06116207323200414)	0.06116207323200414
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 take control of arg2 0.0555555421053441)	0.0555555421053441
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 the best team in arg2 0.025000011352850984)	0.025000011352850984
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 took control of arg2 0.06573544508225149)	0.06573544508225149
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 were the best team in arg2 0.008163265550896179)	0.008163265550896179
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 win control of arg2 0.08298752364620098)	0.08298752364620098
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg1 won control of arg2 0.21991701683295548)	0.21991701683295548
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg2 career with arg1 1.493986980243474E-4)	1.493986980243474E-4
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg2 career with the Chicago arg1 0.025000011352850984)	0.025000011352850984
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg2 champion arg1 9.076833260959938E-4)	9.076833260959938E-4
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg2 Championship game against arg1 0.046666673435244464)	0.046666673435244464
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg2 Championship Game in arg1 0.020895530386235178)	0.020895530386235178
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg2 draft by arg1 0.05128207515742614)	0.05128207515742614
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg2 Draft by arg1 0.05999998300560459)	0.05999998300560459
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg2 Finals against arg1 0.02235773349722438)	0.02235773349722438
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg2 for the Chicago arg1 0.0013153572200690924)	0.0013153572200690924
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg2 Most Valuable Player and arg1 0.025000011352850984)	0.025000011352850984
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg2 seasons with arg1 0.0021881846627883612)	0.0021881846627883612
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg2 title game in arg1 0.026865670419103378)	0.026865670419103378
uncoupled_cpl	extractionPatterns(teamPlaysInLeague, arg2 with the Chicago arg1 0.0011461314086838304)	0.0011461314086838304
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg1 and Cubs arg2 0.03937008559151599)	0.03937008559151599
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg1 are playing their best arg2 0.07407405077366172)	0.07407405077366172
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg1 are the hottest team in arg2 0.026666664879369802)	0.026666664879369802
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg1 as the best team in arg2 0.011235959210474253)	0.011235959210474253
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg1 have played solid arg2 0.015748030014151974)	0.015748030014151974
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg1 play arg2 5.8001249763700115E-5)	5.8001249763700115E-5
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg1 played great arg2 0.005917158076468131)	0.005917158076468131
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg1 played their best arg2 0.047058818605667345)	0.047058818605667345
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg1 playing better arg2 0.016853936993663082)	0.016853936993663082
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg1 we call it arg2 0.0033783799132573096)	0.0033783799132573096
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg1 were playing their best arg2 0.016853936993663082)	0.016853936993663082
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg1 were the talk of arg2 0.015748030014151974)	0.015748030014151974
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 against the Chicago arg1 0.03411514016909166)	0.03411514016909166
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 and baseball for arg1 0.0033783799132573096)	0.0033783799132573096
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 and your beloved arg1 0.0033783799132573096)	0.0033783799132573096
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 behind the Chicago arg1 0.03999999299472865)	0.03999999299472865
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 career began in DDDD with arg1 0.0033783799132573096)	0.0033783799132573096
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 career with the Chicago arg1 0.11111106414847875)	0.11111106414847875
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 for the Chicago arg1 0.002301873321392669)	0.002301873321392669
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 for the Cleveland arg1 0.0047393371254790305)	0.0047393371254790305
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 for the Pittsburgh arg1 0.00630517218916012)	0.00630517218916012
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 game between arg1 1.4528546889414082E-4)	1.4528546889414082E-4
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 game between the New York arg1 0.023622042467492173)	0.023622042467492173
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 league in arg1 0.004296455064048035)	0.004296455064048035
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 matches in arg1 0.0036101065205323465)	0.0036101065205323465
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 operations for arg1 0.0010270455464426202)	0.0010270455464426202
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 over the Chicago arg1 0.004477613837538769)	0.004477613837538769
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 player for arg1 4.2983033367063845E-4)	4.2983033367063845E-4
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 player for the New York arg1 0.022471914363420505)	0.022471914363420505
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 player for the Pittsburgh arg1 0.31249994056428093)	0.31249994056428093
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 player with arg1 0.003274853970661625)	0.003274853970661625
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 quarterback for arg1 0.008875736155162605)	0.008875736155162605
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 stadium for arg1 0.022140229187860686)	0.022140229187860686
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 team Chicago arg1 6.956520157715004E-4)	6.956520157715004E-4
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 team is arg1 0.0010434779108487624)	0.0010434779108487624
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 team is the Chicago arg1 0.250000090279989)	0.250000090279989
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 team is the New York arg1 0.07999997154466548)	0.07999997154466548
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 team named the Pittsburgh arg1 0.12499994270999265)	0.12499994270999265
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 teams are arg1 0.005970151350836913)	0.005970151350836913
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 teams including arg1 0.008498581599987653)	0.008498581599987653
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 team was arg1 0.004576659105426293)	0.004576659105426293
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 uniforms for arg1 0.008875736155162605)	0.008875736155162605
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 with the Chicago arg1 0.0022922646957403985)	0.0022922646957403985
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 with the Pittsburgh arg1 0.00630517218916012)	0.00630517218916012
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 world by beating arg1 0.03999999299472865)	0.03999999299472865
uncoupled_cpl	extractionPatterns(teamPlaysSport, arg2 World Cup held in arg1 0.005917158076468131)	0.005917158076468131
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 and Obama in arg2 0.061855639748996806)	0.061855639748996806
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 and Red Sox arg2 0.0198863641642031)	0.0198863641642031
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 are going to win arg2 0.02189780227357842)	0.02189780227357842
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 did not win arg2 0.012987018465633417)	0.012987018465633417
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 finally won arg2 0.03389831401172234)	0.03389831401172234
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 had just won arg2 0.022801293777601796)	0.022801293777601796
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 has to win arg2 0.05154639515821056)	0.05154639515821056
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 have not won arg2 0.03555555059643001)	0.03555555059643001
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 have won two arg2 0.027932957916387155)	0.027932957916387155
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 is going to win arg2 0.06249998263998874)	0.06249998263998874
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 just won arg2 0.019455256273562926)	0.019455256273562926
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 last won arg2 0.031073435151667106)	0.031073435151667106
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 lost the DDDD arg2 0.02259887845093802)	0.02259887845093802
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 might win arg2 0.013089001258802635)	0.013089001258802635
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 must win arg2 0.0198863641642031)	0.0198863641642031
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 or Clinton in arg2 0.07731958437843704)	0.07731958437843704
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 spring training arg2 0.01948052559244614)	0.01948052559244614
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 team that won arg2 0.016759768444236232)	0.016759768444236232
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 the winner in arg2 0.061855639748996806)	0.061855639748996806
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 went on to win arg2 0.02189780227357842)	0.02189780227357842
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 went on to win the arg2 0.01918157684353978)	0.01918157684353978
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 were going to win arg2 0.03555555059643001)	0.03555555059643001
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 were winning arg2 0.016759768444236232)	0.016759768444236232
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 will never win arg2 0.013966481479980485)	0.013966481479980485
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 will not win arg2 0.022801293777601796)	0.022801293777601796
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 will win arg2 0.021041175981872856)	0.021041175981872856
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 winning the DDDD arg2 0.0198863641642031)	0.0198863641642031
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 winning their second arg2 0.014598536427273165)	0.014598536427273165
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 win the DDDD arg2 0.03999999299472865)	0.03999999299472865
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 win their first arg2 0.014044941269914978)	0.014044941269914978
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 win their second arg2 0.013089001258802635)	0.013089001258802635
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 won their first arg2 0.03351956435573486)	0.03351956435573486
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 won their second arg2 0.025547444165435418)	0.025547444165435418
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 won their third arg2 0.02189780227357842)	0.02189780227357842
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 would have won arg2 0.032573278651244666)	0.032573278651244666
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 would never win arg2 0.016853936993663082)	0.016853936993663082
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg1 would win arg2 0.014796553454907439)	0.014796553454907439
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg2 against the Atlanta arg1 0.0878378304860376)	0.0878378304860376
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg2 against the Boston arg1 0.040540532616327535)	0.040540532616327535
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg2 against the Los Angeles arg1 0.0371621689080499)	0.0371621689080499
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg2 against the New York arg1 0.024520249318521904)	0.024520249318521904
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg2 behind the New York arg1 0.023648655867843094)	0.023648655867843094
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg2 between the New York arg1 0.028248582489823308)	0.028248582489823308
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg2 between the Red Sox and arg1 0.016759768444236232)	0.016759768444236232
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg2 between the Yankees and arg1 0.013089001258802635)	0.013089001258802635
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg2 champion Boston arg1 0.06741572362948918)	0.06741572362948918
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg2 champion New York arg1 0.10451977406246707)	0.10451977406246707
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg2 final against arg1 0.02325581664403649)	0.02325581664403649
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg2 loss to the New York arg1 0.014044941269914978)	0.014044941269914978
uncoupled_cpl	extractionPatterns(teamWonTrophy, arg2 over the New York arg1 0.01731602336626777)	0.01731602336626777
uncoupled_cpl	extractionPatterns(tool, _ are provided as 0.14440722776526302)	0.14440722776526302
uncoupled_cpl	extractionPatterns(tool, _ collected at 0.5156531136175737)	0.5156531136175737
uncoupled_cpl	extractionPatterns(tool, _ collected by 0.36575886555165216)	0.36575886555165216
uncoupled_cpl	extractionPatterns(tool, _ collected during 0.3713055390201217)	0.3713055390201217
uncoupled_cpl	extractionPatterns(tool, _ collected from 0.37665410728157905)	0.37665410728157905
uncoupled_cpl	extractionPatterns(tool, _ collected on 0.6628550103279408)	0.6628550103279408
uncoupled_cpl	extractionPatterns(tool, _ collected through 0.5877291890589845)	0.5877291890589845
uncoupled_cpl	extractionPatterns(tool, comprehensive set of _ 0.37438110614813425)	0.37438110614813425
uncoupled_cpl	extractionPatterns(tool, _ contained on 0.48748585712046844)	0.48748585712046844
uncoupled_cpl	extractionPatterns(tool, directory of _ 0.15731863626467368)	0.15731863626467368
uncoupled_cpl	extractionPatterns(tool, dissemination of _ 0.3977271744841911)	0.3977271744841911
uncoupled_cpl	extractionPatterns(tool, exchange of _ 0.4741237098948639)	0.4741237098948639
uncoupled_cpl	extractionPatterns(tool, _ gained from 0.328691058926749)	0.328691058926749
uncoupled_cpl	extractionPatterns(tool, _ gathered by 0.4355964663937357)	0.4355964663937357
uncoupled_cpl	extractionPatterns(tool, _ gathered from 0.39414437610147446)	0.39414437610147446
uncoupled_cpl	extractionPatterns(tool, _ gleaned from 0.3824746126787385)	0.3824746126787385
uncoupled_cpl	extractionPatterns(tool, good source of _ 0.32980160575282846)	0.32980160575282846
uncoupled_cpl	extractionPatterns(tool, great source of _ 0.3494579637274098)	0.3494579637274098
uncoupled_cpl	extractionPatterns(tool, _ have appeared in 0.3124649425308642)	0.3124649425308642
uncoupled_cpl	extractionPatterns(tool, information via _ 0.24669562245757087)	0.24669562245757087
uncoupled_cpl	extractionPatterns(tool, _ is stored on 0.34799018626264483)	0.34799018626264483
uncoupled_cpl	extractionPatterns(tool, links below for _ 0.4550863945153631)	0.4550863945153631
uncoupled_cpl	extractionPatterns(tool, lot of useful _ 0.4530304215565392)	0.4530304215565392
uncoupled_cpl	extractionPatterns(tool, _ obtained through 0.34225199012573343)	0.34225199012573343
uncoupled_cpl	extractionPatterns(tool, page contains _ 0.18276465354682894)	0.18276465354682894
uncoupled_cpl	extractionPatterns(tool, page includes _ 0.31757222697026694)	0.31757222697026694
uncoupled_cpl	extractionPatterns(tool, page provides _ 0.46729104160643076)	0.46729104160643076
uncoupled_cpl	extractionPatterns(tool, plenty of _ 0.009828008101451796)	0.009828008101451796
uncoupled_cpl	extractionPatterns(tool, _ presented on 0.3116872493023004)	0.3116872493023004
uncoupled_cpl	extractionPatterns(tool, _ provided on 0.37860266543172044)	0.37860266543172044
uncoupled_cpl	extractionPatterns(tool, _ provided through 0.31575237373897025)	0.31575237373897025
uncoupled_cpl	extractionPatterns(tool, _ published on 0.49191172466518585)	0.49191172466518585
uncoupled_cpl	extractionPatterns(tool, retrieval of _ 0.33635975244499716)	0.33635975244499716
uncoupled_cpl	extractionPatterns(tool, section contains _ 0.3537888545048905)	0.3537888545048905
uncoupled_cpl	extractionPatterns(tool, section provides _ 0.36502698376825127)	0.36502698376825127
uncoupled_cpl	extractionPatterns(tool, selection of _ 0.019656012653814697)	0.019656012653814697
uncoupled_cpl	extractionPatterns(tool, series of _ 0.11547906740892697)	0.11547906740892697
uncoupled_cpl	extractionPatterns(tool, sharing of _ 0.38423305362819804)	0.38423305362819804
uncoupled_cpl	extractionPatterns(tool, site contains _ 0.19168976903900525)	0.19168976903900525
uncoupled_cpl	extractionPatterns(tool, site includes _ 0.33554070619160936)	0.33554070619160936
uncoupled_cpl	extractionPatterns(tool, site provides _ 0.38951613095900345)	0.38951613095900345
uncoupled_cpl	extractionPatterns(tool, _ stored on 0.3578558597692725)	0.3578558597692725
uncoupled_cpl	extractionPatterns(tool, table of _ 0.5136074609192305)	0.5136074609192305
uncoupled_cpl	extractionPatterns(tool, time running _ 0.8632758484331486)	0.8632758484331486
uncoupled_cpl	extractionPatterns(tool, tools , like _ 0.009828008101451796)	0.009828008101451796
uncoupled_cpl	extractionPatterns(tool, variety of _ 0.08599509665445114)	0.08599509665445114
uncoupled_cpl	extractionPatterns(tool, vast amount of _ 0.37864734318217685)	0.37864734318217685
uncoupled_cpl	extractionPatterns(tool, vast amounts of _ 0.33221829867889496)	0.33221829867889496
uncoupled_cpl	extractionPatterns(tool, wealth of _ 0.39681345316519306)	0.39681345316519306
uncoupled_cpl	extractionPatterns(tool, website has _ 0.5723961256091414)	0.5723961256091414
uncoupled_cpl	extractionPatterns(trait, act of _ 0.025865997775241758)	0.025865997775241758
uncoupled_cpl	extractionPatterns(trait, badge of _ 0.034208572788319506)	0.034208572788319506
uncoupled_cpl	extractionPatterns(trait, bond of _ 0.14929948856431893)	0.14929948856431893
uncoupled_cpl	extractionPatterns(trait, centuries of _ 0.18457821053228424)	0.18457821053228424
uncoupled_cpl	extractionPatterns(trait, certain amount of _ 0.2590109345070042)	0.2590109345070042
uncoupled_cpl	extractionPatterns(trait, considerable amount of _ 0.2871553271619801)	0.2871553271619801
uncoupled_cpl	extractionPatterns(trait, crisis of _ 0.22020771917881726)	0.22020771917881726
uncoupled_cpl	extractionPatterns(trait, decades of _ 0.22391852969571152)	0.22391852969571152
uncoupled_cpl	extractionPatterns(trait, deed of _ 0.11020841764689354)	0.11020841764689354
uncoupled_cpl	extractionPatterns(trait, degrees of _ 0.23356403491623448)	0.23356403491623448
uncoupled_cpl	extractionPatterns(trait, different levels of _ 0.2320503279553254)	0.2320503279553254
uncoupled_cpl	extractionPatterns(trait, enormous amount of _ 0.2258771526147608)	0.2258771526147608
uncoupled_cpl	extractionPatterns(trait, _ exists between 0.1774795301172511)	0.1774795301172511
uncoupled_cpl	extractionPatterns(trait, freedom of _ 0.43743725526795085)	0.43743725526795085
uncoupled_cpl	extractionPatterns(trait, gesture of _ 0.203716491353674)	0.203716491353674
uncoupled_cpl	extractionPatterns(trait, good amount of _ 0.21379172190790016)	0.21379172190790016
uncoupled_cpl	extractionPatterns(trait, good deal of _ 0.22576627415571618)	0.22576627415571618
uncoupled_cpl	extractionPatterns(trait, great amount of _ 0.18818081433255587)	0.18818081433255587
uncoupled_cpl	extractionPatterns(trait, great deal of _ 0.25307838907587704)	0.25307838907587704
uncoupled_cpl	extractionPatterns(trait, great sense of _ 0.43196746762383753)	0.43196746762383753
uncoupled_cpl	extractionPatterns(trait, high degree of _ 0.2774692951571336)	0.2774692951571336
uncoupled_cpl	extractionPatterns(trait, higher levels of _ 0.19235089438799963)	0.19235089438799963
uncoupled_cpl	extractionPatterns(trait, high standard of _ 0.19299963138526155)	0.19299963138526155
uncoupled_cpl	extractionPatterns(trait, high standards of _ 0.22221097734591017)	0.22221097734591017
uncoupled_cpl	extractionPatterns(trait, incidents of _ 0.20450292508652235)	0.20450292508652235
uncoupled_cpl	extractionPatterns(trait, instrument of _ 0.18750439384616996)	0.18750439384616996
uncoupled_cpl	extractionPatterns(trait, lack of _ 0.21830917216023268)	0.21830917216023268
uncoupled_cpl	extractionPatterns(trait, level of _ 0.2657173843143781)	0.2657173843143781
uncoupled_cpl	extractionPatterns(trait, many years of _ 0.34024069001992663)	0.34024069001992663
uncoupled_cpl	extractionPatterns(trait, messages of _ 0.21610454149063565)	0.21610454149063565
uncoupled_cpl	extractionPatterns(trait, new found _ 0.1430395662400014)	0.1430395662400014
uncoupled_cpl	extractionPatterns(trait, notions of _ 0.18502635584940752)	0.18502635584940752
uncoupled_cpl	extractionPatterns(trait, ounce of _ 0.18731323687107748)	0.18731323687107748
uncoupled_cpl	extractionPatterns(trait, outpouring of _ 0.11691980576553597)	0.11691980576553597
uncoupled_cpl	extractionPatterns(trait, period of _ 0.43040442028861414)	0.43040442028861414
uncoupled_cpl	extractionPatterns(trait, periods of _ 0.49776460222701524)	0.49776460222701524
uncoupled_cpl	extractionPatterns(trait, random acts of _ 0.10207096217420111)	0.10207096217420111
uncoupled_cpl	extractionPatterns(trait, reasonable amount of _ 0.4046503168574325)	0.4046503168574325
uncoupled_cpl	extractionPatterns(trait, reasons of _ 0.19094821754938066)	0.19094821754938066
uncoupled_cpl	extractionPatterns(trait, right amount of _ 0.18645674445800065)	0.18645674445800065
uncoupled_cpl	extractionPatterns(trait, same amount of _ 0.22426587253790164)	0.22426587253790164
uncoupled_cpl	extractionPatterns(trait, show of _ 0.21308588043569643)	0.21308588043569643
uncoupled_cpl	extractionPatterns(trait, small acts of _ 0.03513312012885711)	0.03513312012885711
uncoupled_cpl	extractionPatterns(trait, strong sense of _ 0.23046275802264723)	0.23046275802264723
uncoupled_cpl	extractionPatterns(trait, struggle for _ 0.23136887051516222)	0.23136887051516222
uncoupled_cpl	extractionPatterns(trait, test of _ 0.280771530241343)	0.280771530241343
uncoupled_cpl	extractionPatterns(trait, tool of _ 0.22967293587976692)	0.22967293587976692
uncoupled_cpl	extractionPatterns(trait, tremendous amount of _ 0.2547794525549286)	0.2547794525549286
uncoupled_cpl	extractionPatterns(trait, whole lot of _ 0.21121261475080427)	0.21121261475080427
uncoupled_cpl	extractionPatterns(trait, words of _ 0.1848994712956727)	0.1848994712956727
uncoupled_cpl	extractionPatterns(university, anthropology at _ 0.6527598379323778)	0.6527598379323778
uncoupled_cpl	extractionPatterns(university, anthropology from _ 0.5578673884236705)	0.5578673884236705
uncoupled_cpl	extractionPatterns(university, art history at _ 0.6462880349735539)	0.6462880349735539
uncoupled_cpl	extractionPatterns(university, arts degree from _ 0.6074186634841638)	0.6074186634841638
uncoupled_cpl	extractionPatterns(university, B.A. at _ 0.6825394168256504)	0.6825394168256504
uncoupled_cpl	extractionPatterns(university, B.A. degree from _ 0.6418606852554946)	0.6418606852554946
uncoupled_cpl	extractionPatterns(university, BA degree from _ 0.6690911366203869)	0.6690911366203869
uncoupled_cpl	extractionPatterns(university, BA from _ 0.6322224303485349)	0.6322224303485349
uncoupled_cpl	extractionPatterns(university, B.A. from _ 0.6770853114840661)	0.6770853114840661
uncoupled_cpl	extractionPatterns(university, biochemistry from _ 0.6690262379277723)	0.6690262379277723
uncoupled_cpl	extractionPatterns(university, B.S. degree from _ 0.6376638597980837)	0.6376638597980837
uncoupled_cpl	extractionPatterns(university, chemical engineering from _ 0.09361702696718549)	0.09361702696718549
uncoupled_cpl	extractionPatterns(university, computer science at _ 0.6480638846930595)	0.6480638846930595
uncoupled_cpl	extractionPatterns(university, computer science from _ 0.5501771289318858)	0.5501771289318858
uncoupled_cpl	extractionPatterns(university, cum laude , from _ 0.6326531204569393)	0.6326531204569393
uncoupled_cpl	extractionPatterns(university, doctoral degree from _ 0.6126876598870685)	0.6126876598870685
uncoupled_cpl	extractionPatterns(university, doctoral studies at _ 0.6471772922459129)	0.6471772922459129
uncoupled_cpl	extractionPatterns(university, doctorate at _ 0.6384422844495241)	0.6384422844495241
uncoupled_cpl	extractionPatterns(university, economics from _ 0.6266212423908324)	0.6266212423908324
uncoupled_cpl	extractionPatterns(university, electrical engineering at _ 0.6226417286571362)	0.6226417286571362
uncoupled_cpl	extractionPatterns(university, electrical engineering from _ 0.11234486351483229)	0.11234486351483229
uncoupled_cpl	extractionPatterns(university, engineering degree from _ 0.6282896454331881)	0.6282896454331881
uncoupled_cpl	extractionPatterns(university, Engineering degree from _ 0.6653227617888402)	0.6653227617888402
uncoupled_cpl	extractionPatterns(university, graduate degrees from _ 0.6981893066679689)	0.6981893066679689
uncoupled_cpl	extractionPatterns(university, graduate school at _ 0.5544137665363308)	0.5544137665363308
uncoupled_cpl	extractionPatterns(university, law professor at _ 0.6422414215189961)	0.6422414215189961
uncoupled_cpl	extractionPatterns(university, law school at _ 0.6229624717316472)	0.6229624717316472
uncoupled_cpl	extractionPatterns(university, linguistics at _ 0.6726090664911625)	0.6726090664911625
uncoupled_cpl	extractionPatterns(university, mechanical engineering at _ 0.7016132168120816)	0.7016132168120816
uncoupled_cpl	extractionPatterns(university, mechanical engineering from _ 0.10821914363337237)	0.10821914363337237
uncoupled_cpl	extractionPatterns(university, Music degree from _ 0.6324551310172)	0.6324551310172
uncoupled_cpl	extractionPatterns(university, PhD from _ 0.11860946375839859)	0.11860946375839859
uncoupled_cpl	extractionPatterns(university, physics from _ 0.0942261061918749)	0.0942261061918749
uncoupled_cpl	extractionPatterns(university, political science at _ 0.6607313178867457)	0.6607313178867457
uncoupled_cpl	extractionPatterns(university, political science from _ 0.5718543230621866)	0.5718543230621866
uncoupled_cpl	extractionPatterns(university, professor emeritus at _ 0.6535664943400282)	0.6535664943400282
uncoupled_cpl	extractionPatterns(university, Science degree from _ 0.6387309255900788)	0.6387309255900788
uncoupled_cpl	extractionPatterns(university, science degree from _ 0.6402983752135223)	0.6402983752135223
uncoupled_cpl	extractionPatterns(university, science professor at _ 0.6725666934547382)	0.6725666934547382
uncoupled_cpl	extractionPatterns(university, service at _ 0.7374212323981479)	0.7374212323981479
uncoupled_cpl	extractionPatterns(university, sociology at _ 0.6513872236568956)	0.6513872236568956
uncoupled_cpl	extractionPatterns(university, sociology from _ 0.6289157336602191)	0.6289157336602191
uncoupled_cpl	extractionPatterns(university, Studies at _ 0.6338696151704128)	0.6338696151704128
uncoupled_cpl	extractionPatterns(university, Studies from _ 0.6450567381055725)	0.6450567381055725
uncoupled_cpl	extractionPatterns(university, summa cum laude from _ 0.650240489937902)	0.650240489937902
uncoupled_cpl	extractionPatterns(university, undergraduate at _ 0.5335139822794401)	0.5335139822794401
uncoupled_cpl	extractionPatterns(university, undergraduate degree at _ 0.6287742435383812)	0.6287742435383812
uncoupled_cpl	extractionPatterns(university, undergraduate education at _ 0.6682245561727505)	0.6682245561727505
uncoupled_cpl	extractionPatterns(university, undergraduate studies at _ 0.6382354626563023)	0.6382354626563023
uncoupled_cpl	extractionPatterns(university, undergraduate work at _ 0.6524061379615691)	0.6524061379615691
uncoupled_cpl	extractionPatterns(vehicle, _ arising from 0.10461283806872246)	0.10461283806872246
uncoupled_cpl	extractionPatterns(vehicle, _ arising out of 0.17129192744681482)	0.17129192744681482
uncoupled_cpl	extractionPatterns(vehicle, _ caused by 0.09526793392701205)	0.09526793392701205
uncoupled_cpl	extractionPatterns(vehicle, chain of _ 0.13332840283013284)	0.13332840283013284
uncoupled_cpl	extractionPatterns(vehicle, cheap used _ 0.0640776916378861)	0.0640776916378861
uncoupled_cpl	extractionPatterns(vehicle, clusters of _ 0.11552780985930725)	0.11552780985930725
uncoupled_cpl	extractionPatterns(vehicle, country on _ 0.09413155065608)	0.09413155065608
uncoupled_cpl	extractionPatterns(vehicle, couple of _ 0.11513568230038523)	0.11513568230038523
uncoupled_cpl	extractionPatterns(vehicle, couple of other _ 0.14825329728038025)	0.14825329728038025
uncoupled_cpl	extractionPatterns(vehicle, crowd of _ 0.1667069163973493)	0.1667069163973493
uncoupled_cpl	extractionPatterns(vehicle, dollars in _ 0.10222551242775485)	0.10222551242775485
uncoupled_cpl	extractionPatterns(vehicle, emissions from _ 0.06236437999547637)	0.06236437999547637
uncoupled_cpl	extractionPatterns(vehicle, fleet of _ 0.07245888365471131)	0.07245888365471131
uncoupled_cpl	extractionPatterns(vehicle, flood of _ 0.09420095117986525)	0.09420095117986525
uncoupled_cpl	extractionPatterns(vehicle, great number of _ 0.15906235242781322)	0.15906235242781322
uncoupled_cpl	extractionPatterns(vehicle, host of other _ 0.14424587070002792)	0.14424587070002792
uncoupled_cpl	extractionPatterns(vehicle, life on _ 0.13277557261648185)	0.13277557261648185
uncoupled_cpl	extractionPatterns(vehicle, _ manufactured by 0.0955382106500379)	0.0955382106500379
uncoupled_cpl	extractionPatterns(vehicle, many different types of _ 0.1322836233137138)	0.1322836233137138
uncoupled_cpl	extractionPatterns(vehicle, _ offered in 0.09131328432945915)	0.09131328432945915
uncoupled_cpl	extractionPatterns(vehicle, _ operating in 0.09113822216270301)	0.09113822216270301
uncoupled_cpl	extractionPatterns(vehicle, other types of _ 0.09086076492183875)	0.09086076492183875
uncoupled_cpl	extractionPatterns(vehicle, _ parked in 0.0878355467321339)	0.0878355467321339
uncoupled_cpl	extractionPatterns(vehicle, _ parked on 0.0746349039371245)	0.0746349039371245
uncoupled_cpl	extractionPatterns(vehicle, pool of _ 0.09570382621255946)	0.09570382621255946
uncoupled_cpl	extractionPatterns(vehicle, portfolio of _ 0.10628426808755947)	0.10628426808755947
uncoupled_cpl	extractionPatterns(vehicle, quality used _ 0.1353884804554935)	0.1353884804554935
uncoupled_cpl	extractionPatterns(vehicle, quantities of _ 0.09190985676868144)	0.09190985676868144
uncoupled_cpl	extractionPatterns(vehicle, quantity of _ 0.093189054982202)	0.093189054982202
uncoupled_cpl	extractionPatterns(vehicle, _ resulting from 0.09393483329021607)	0.09393483329021607
uncoupled_cpl	extractionPatterns(vehicle, sale used _ 0.06213592219737536)	0.06213592219737536
uncoupled_cpl	extractionPatterns(vehicle, schedule of _ 0.14307461522705578)	0.14307461522705578
uncoupled_cpl	extractionPatterns(vehicle, selection of _ 0.08455018631775993)	0.08455018631775993
uncoupled_cpl	extractionPatterns(vehicle, sequence of _ 0.10941689145986583)	0.10941689145986583
uncoupled_cpl	extractionPatterns(vehicle, small number of _ 0.14537974920890698)	0.14537974920890698
uncoupled_cpl	extractionPatterns(vehicle, _ sold by 0.09631646487252557)	0.09631646487252557
uncoupled_cpl	extractionPatterns(vehicle, _ sold in 0.08544417844030028)	0.08544417844030028
uncoupled_cpl	extractionPatterns(vehicle, speed of _ 0.1704084630557668)	0.1704084630557668
uncoupled_cpl	extractionPatterns(vehicle, stream of _ 0.0829801380852588)	0.0829801380852588
uncoupled_cpl	extractionPatterns(vehicle, streams of _ 0.08544093162320945)	0.08544093162320945
uncoupled_cpl	extractionPatterns(vehicle, suite of _ 0.09143252595374632)	0.09143252595374632
uncoupled_cpl	extractionPatterns(vehicle, table of _ 0.47725754842527385)	0.47725754842527385
uncoupled_cpl	extractionPatterns(vehicle, tons of _ 0.12901998037322637)	0.12901998037322637
uncoupled_cpl	extractionPatterns(vehicle, varies from _ 0.10702787119295692)	0.10702787119295692
uncoupled_cpl	extractionPatterns(vehicle, variety of _ 0.14782768116702732)	0.14782768116702732
uncoupled_cpl	extractionPatterns(vehicle, volume of _ 0.11037562031564627)	0.11037562031564627
uncoupled_cpl	extractionPatterns(vehicle, whole bunch of _ 0.13021113898329723)	0.13021113898329723
uncoupled_cpl	extractionPatterns(vehicle, whole lot of _ 0.1349413553148651)	0.1349413553148651
uncoupled_cpl	extractionPatterns(vehicle, wide array of _ 0.08768907147224364)	0.08768907147224364
uncoupled_cpl	extractionPatterns(vehicle, world on _ 0.06070525568916067)	0.06070525568916067