n1_3 (mlalgorithm)

literal strings:
  1?3
  1/3
  1.3
  1-3
  1,3
  1\3
  1:3
  1)3

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• n1_3 is a machine-learning algorithm     

categories

• mlalgorithm(100.0%)
• CMC @1096 (99.9%) on 18-jan-2018 [ POS=CD 7.45994 WORDSHAPE=0x0 2.53193 WORDSHAPE=0 1.28182 SHORT_WORDSHAPE=0x0 0.80085 FIRST_WORD=1 0.35626 FULL_POS=CD 0.22020 FULL_POS=CD_CD 0.15933 WORDS -0.38354 SHORT_WORDSHAPE=0 -0.48585 CHARS -1.88452 ] using n1_3
• CPL @1095 (76.2%) on 17-jan-2018 [ "section D( _" "§ DD( _" "paragraph DD( _" "article DD( _" ] using n1_3

relations

NELL has only weak evidence for items listed in grey

• chemicaltypehaschemical
• gas_emissions
• CPL @1108 (75.0%) on 07-jun-2018 [ "arg2 of greenhouse arg1" "arg2 of green house arg1" ] using (gas_emissions, n1_3)
• inverseofagriculturalproductcookedwithagricultureproduct
• egg
• CPL @1097 (87.5%) on 19-jan-2018 [ "arg1 yolks in a bowl with arg2" "arg1 yolks and arg2" "arg1 white and sprinkle with arg2" ] using (egg, n1_3)
• oil
• CPL @1098 (75.0%) on 21-jan-2018 [ "arg1 and season with arg2" "arg1 is hot add arg2" ] using (oil, n1_3)
• inverseofanimaleatfood
• chicken
• CPL @1098 (50.0%) on 21-jan-2018 [ "arg1 livers and arg2" ] using (chicken, n1_3)
• shapeofobject
• triangle
• CPL @1112 (75.0%) on 20-jul-2018 [ "arg2 of the equilateral arg1" "arg2 of an equilateral arg1" ] using (triangle, n1_3)
• inverseoffooddecreasestheriskofdisease
• heart
• CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 disease and arg2" ] using (heart, n1_3)
• objectlookslikeobject
• screen
• CPL @1105 (75.0%) on 25-mar-2018 [ "arg1 OLED touch arg2" "arg1 LCD preview arg2" ] using (n1_3, screen)
• CPL @1105 (75.0%) on 25-mar-2018 [ "arg1 OLED touch arg2" "arg1 LCD preview arg2" ] using (screen, n1_3)