educational_institutions (sportsteam)

literal strings: Educational Institutions, Educational institutions, educational institutions

categories

NELL has only weak evidence for items listed in grey

• sportsteam
• SEAL @532 (75.0%) on 15-mar-2012 [ 1 2 ] using educational_institutions

relations

NELL has only weak evidence for items listed in grey

• inverseofprofessionactsatthesameareaofpoliticissue
• teaching
• CPL @1107 (50.0%) on 24-may-2018 [ "arg1 and learning in higher arg2" ] using (teaching, educational_institutions)
• professiontypehasprofession
• nursing
• CPL @1096 (75.0%) on 18-jan-2018 [ "arg1 and allied health arg2" "arg1 and paramedical arg2" ] using (nursing, educational_institutions)
• providers
• CPL @1104 (87.5%) on 18-mar-2018 [ "arg2 and other healthcare arg1" "arg2 and other education arg1" "arg2 and other health care arg1" ] using (providers, educational_institutions)
• teamalsoknownas
• brown_university
• CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 such as Yale and arg2" ] using (brown_university, educational_institutions)
• CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 such as Yale and arg2" ] using (educational_institutions, brown_university)
• eventhasparticipantagent
• title
• CPL @1114 (50.0%) on 18-aug-2018 [ "arg1 to all such arg2" ] using (title, educational_institutions)
• generalizationof
• home (animal)
• CPL @1103 (75.0%) on 06-mar-2018 [ "arg1 to an abundance of arg2" "arg1 to many fine arg2" ] using (home, educational_institutions)
• home (plant)
• CPL @1103 (75.0%) on 06-mar-2018 [ "arg1 to an abundance of arg2" "arg1 to many fine arg2" ] using (home, educational_institutions)
• superpartoforganization
• agencies
• CPL @1096 (75.0%) on 18-jan-2018 [ "arg2 and local law enforcement arg1" "arg2 and local health arg1" ] using (agencies, educational_institutions)