law_enforcement (politicaloffice)
literal strings: law-enforcement, Law enforcement, LAW enforcement, Law Enforcement, LAW ENFORCEMENT, law enforcement
categories
NELL has only weak evidence for items listed in grey
- politicaloffice
- SEAL @218 (75.0%) on 11-mar-2011 [ 1 2 ] using law_enforcement
relations
NELL has only weak evidence for items listed in grey
- 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)
- inverseofcriminalssuchascriminals
- 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)
- 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)
- 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)
- proxyof
- white (hotel)
- CPL @1113 (50.0%) on 03-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)
- 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)
- 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)