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law_enforcement (criminal)
literal strings: law-enforcement , Law enforcement , LAW enforcement , Law Enforcement , LAW ENFORCEMENT , law enforcement
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categories
criminal (100.0%)CMC @1045 (100.0%) on 27-mar-2017 [ LASTPREFIX=enf 2.46027 LASTPREFIX=enfor 2.46027 LASTPREFIX=enfo 2.46027 LAST_WORD=enforcement 2.46027 PREFIX=enfor 2.43662 PREFIX=enfo 2.43662 PREFIX=enf 2.43531 SHORT_WORDSHAPE=a -2.58164 WORDS -6.61331 CHARS -9.03111 ] using law_enforcement SEAL @180 (56.7%) on 16-dec-2010 [ 1 2 3 ] using law_enforcement Seed
relations
inverseofcriminalssuchascriminals criminals (100.0%)
NELL has only weak evidence for items listed in grey subjectconcernedbyacademicfield science CPL @1114 (50.0%) on 18-aug-2018 [ "arg1 and technology in modern arg2" ] using (science, law_enforcement)
synonymfor department CPL @1105 (50.0%) on 25-mar-2018 [ "arg2 of Social Services or arg1" ] using (law_enforcement, department) CPL @1105 (50.0%) on 25-mar-2018 [ "arg2 of Social Services or arg1" ] using (department, law_enforcement)
inverseofacademicfieldsuchasacademicfield applied_science CPL @1108 (50.0%) on 07-jun-2018 [ "arg1 degree in Criminal Justice arg2" ] using (applied_science, law_enforcement)
science CPL @1103 (75.0%) on 06-mar-2018 [ "arg2 and humanities and social arg1" "arg2 with a minor in political arg1" ] using (science, law_enforcement)
organizationhasagent white (visualartist)CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 House and federal arg2" ] using (white, law_enforcement)
white (writer)CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 House and federal arg2" ] using (white, law_enforcement)
organizationleadbyperson white (visualartist)CPL @1108 (50.0%) on 07-jun-2018 [ "arg1 House and federal arg2" ] using (white, law_enforcement)
white (writer)CPL @1108 (50.0%) on 07-jun-2018 [ "arg1 House and federal arg2" ] using (white, law_enforcement)
professiontypehasprofession instructors CPL @1097 (75.0%) on 19-jan-2018 [ "arg1 are certified arg2" "arg1 who are experienced arg2" ] using (instructors, law_enforcement)
staff CPL @1114 (75.0%) on 18-aug-2018 [ "arg2 and other medical arg1" "arg2 and legal support arg1" ] using (staff, law_enforcement)
proxyof white (hotel)CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 House and federal arg2" ] using (white, law_enforcement)
superpartof white (bodypart)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 House and federal arg2" ] using (white, law_enforcement)
white (hotel)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 House and federal arg2" ] using (white, law_enforcement)
white (mediatype)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 House and federal arg2" ] using (white, law_enforcement)
white (politicaloffice)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 House and federal arg2" ] using (white, law_enforcement)
inverseofpersongraduatedfromuniversity john CPL @1107 (50.0%) on 24-may-2018 [ "arg1 is a graduate of arg2" ] using (john, law_enforcement)
locationofpersonbirth katrina CPL @1107 (75.0%) on 24-may-2018 [ "arg2 in the aftermath of Hurricane arg1" "arg2 after Hurricane arg1" ] using (katrina, law_enforcement)
katrina001 CPL @1107 (75.0%) on 24-may-2018 [ "arg2 in the aftermath of Hurricane arg1" "arg2 after Hurricane arg1" ] using (katrina, law_enforcement)
organizationhasagent white (color)CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 House and federal arg2" ] using (white, law_enforcement)
schoolgraduatedperson john CPL @1107 (50.0%) on 24-may-2018 [ "arg1 is a graduate of arg2" ] using (john, law_enforcement)
superpartoforganization information CPL @1097 (75.0%) on 19-jan-2018 [ "arg2 agencies to gather arg1" "arg2 agency to disclose arg1" ] using (information, law_enforcement)
agencies CPL @1115 (87.5%) on 27-aug-2018 [ "arg2 and local law enforcement arg1" "arg2 and local public health arg1" "arg2 and local transportation arg1" ] using (agencies, law_enforcement)
enforcement CPL @1108 (50.0%) on 07-jun-2018 [ "arg2 agencies to coordinate arg1" ] using (enforcement, law_enforcement)