million_americans (professionalorganization)
literal strings: MILLION Americans, Million Americans, million Americans, million americans
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categories
relations
- agentparticipatedinevent
- result (eventoutcome) (100.0%)
- OE @809 (100.0%) on 01-feb-2014 [ ] using (million_americans, result)
- CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 had died as arg2" "arg1 injured as arg2" "arg1 will die as arg2" "arg1 are injured each year as arg2" "arg1 were hospitalized as arg2" "arg1 who lost their jobs as arg2" "arg1 die each year as arg2" "arg1 would die as arg2" "arg1 die prematurely each year as arg2" "arg1 have died as arg2" "arg1 die as arg2" "arg1 were displaced as arg2" "arg1 could die as arg2" "arg1 died as arg2" "arg1 lost their jobs as arg2" ] using (million_americans, result)
NELL has only weak evidence for items listed in grey
- countrylanguage
- english
- CPL @1104 (75.0%) on 18-mar-2018 [ "arg2 speak a language other than arg1" "arg2 speak languages other than arg1" ] using (english, million_americans)
- inverseofdiseasemaybecausedbydrug
- cancer
- CPL @1112 (50.0%) on 20-jul-2018 [ "arg2 will develop skin arg1" ] using (cancer, million_americans)
- isoneoccurrenceof
- diseases
- CPL @1094 (98.4%) on 01-jan-2018 [ "arg2 who suffer from autoimmune arg1" "arg2 suffering from autoimmune arg1" "arg2 with arthritis and related arg1" "arg2 with one or more chronic arg1" "arg2 suffering from rare arg1" "arg2 living with rare arg1" ] using (diseases, million_americans)
- OE @1112 (100.0%) on 19-jul-2018 [ https://www.genome.gov/27531963/faq-about-rare-diseases/ ] using (diseases, million_americans)
- agentparticipatedinevent
- offenses
- CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 arrested for marijuana arg2" "arg1 imprisoned for drug arg2" "arg1 who have committed criminal arg2" ] using (million_americans, offenses)
- charges (militaryeventtype)
- CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 were arrested on drug arg2" ] using (million_americans, charges)
- result (artery)
- OE @809 (100.0%) on 01-feb-2014 [ ] using (million_americans, result)
- CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 had died as arg2" "arg1 injured as arg2" "arg1 will die as arg2" "arg1 are injured each year as arg2" "arg1 were hospitalized as arg2" "arg1 who lost their jobs as arg2" "arg1 die each year as arg2" "arg1 would die as arg2" "arg1 die prematurely each year as arg2" "arg1 have died as arg2" "arg1 die as arg2" "arg1 were displaced as arg2" "arg1 could die as arg2" "arg1 died as arg2" "arg1 lost their jobs as arg2" ] using (million_americans, result)
- result (disease)
- OE @809 (100.0%) on 01-feb-2014 [ ] using (million_americans, result)
- CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 had died as arg2" "arg1 injured as arg2" "arg1 will die as arg2" "arg1 are injured each year as arg2" "arg1 were hospitalized as arg2" "arg1 who lost their jobs as arg2" "arg1 die each year as arg2" "arg1 would die as arg2" "arg1 die prematurely each year as arg2" "arg1 have died as arg2" "arg1 die as arg2" "arg1 were displaced as arg2" "arg1 could die as arg2" "arg1 died as arg2" "arg1 lost their jobs as arg2" ] using (million_americans, result)
- result (mlmetric)
- OE @809 (100.0%) on 01-feb-2014 [ ] using (million_americans, result)
- CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 had died as arg2" "arg1 injured as arg2" "arg1 will die as arg2" "arg1 are injured each year as arg2" "arg1 were hospitalized as arg2" "arg1 who lost their jobs as arg2" "arg1 die each year as arg2" "arg1 would die as arg2" "arg1 die prematurely each year as arg2" "arg1 have died as arg2" "arg1 die as arg2" "arg1 were displaced as arg2" "arg1 could die as arg2" "arg1 died as arg2" "arg1 lost their jobs as arg2" ] using (million_americans, result)
- result (perceptionevent)
- OE @809 (100.0%) on 01-feb-2014 [ ] using (million_americans, result)
- CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 had died as arg2" "arg1 injured as arg2" "arg1 will die as arg2" "arg1 are injured each year as arg2" "arg1 were hospitalized as arg2" "arg1 who lost their jobs as arg2" "arg1 die each year as arg2" "arg1 would die as arg2" "arg1 die prematurely each year as arg2" "arg1 have died as arg2" "arg1 die as arg2" "arg1 were displaced as arg2" "arg1 could die as arg2" "arg1 died as arg2" "arg1 lost their jobs as arg2" ] using (million_americans, result)
- charges (physicalaction)
- CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 were arrested on drug arg2" ] using (million_americans, charges)
- result (physicalaction)
- OE @809 (100.0%) on 01-feb-2014 [ ] using (million_americans, result)
- CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 had died as arg2" "arg1 injured as arg2" "arg1 will die as arg2" "arg1 are injured each year as arg2" "arg1 were hospitalized as arg2" "arg1 who lost their jobs as arg2" "arg1 die each year as arg2" "arg1 would die as arg2" "arg1 die prematurely each year as arg2" "arg1 have died as arg2" "arg1 die as arg2" "arg1 were displaced as arg2" "arg1 could die as arg2" "arg1 died as arg2" "arg1 lost their jobs as arg2" ] using (million_americans, result)
- result (planet)
- OE @809 (100.0%) on 01-feb-2014 [ ] using (million_americans, result)
- CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 had died as arg2" "arg1 injured as arg2" "arg1 will die as arg2" "arg1 are injured each year as arg2" "arg1 were hospitalized as arg2" "arg1 who lost their jobs as arg2" "arg1 die each year as arg2" "arg1 would die as arg2" "arg1 die prematurely each year as arg2" "arg1 have died as arg2" "arg1 die as arg2" "arg1 were displaced as arg2" "arg1 could die as arg2" "arg1 died as arg2" "arg1 lost their jobs as arg2" ] using (million_americans, result)
- result (programminglanguage)
- OE @809 (100.0%) on 01-feb-2014 [ ] using (million_americans, result)
- CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 had died as arg2" "arg1 injured as arg2" "arg1 will die as arg2" "arg1 are injured each year as arg2" "arg1 were hospitalized as arg2" "arg1 who lost their jobs as arg2" "arg1 die each year as arg2" "arg1 would die as arg2" "arg1 die prematurely each year as arg2" "arg1 have died as arg2" "arg1 die as arg2" "arg1 were displaced as arg2" "arg1 could die as arg2" "arg1 died as arg2" "arg1 lost their jobs as arg2" ] using (million_americans, result)
- charges (sportsgame)
- CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 were arrested on drug arg2" ] using (million_americans, charges)
- charges (tradeunion)
- CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 were arrested on drug arg2" ] using (million_americans, charges)
- charges (weapon)
- CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 were arrested on drug arg2" ] using (million_americans, charges)
