CPL @1095 (98.5%) on 17-jan-2018 [ "_ still die every year" "_ die every year" "_ die every year due" "_ die per" "_ die each year" "_ still die each year" "lives of over _" "_ die annually from" ] using n500_000_women
CPL @1095 (99.2%) on 17-jan-2018 [ "_ die unnecessarily each year" "_ still die every year" "lives of about _" "_ die every year" "_ worldwide die each year" "_ die worldwide" "_ dying each year" "_ die every year due" "_ die annually of" "disease kills _" "_ die per" "_ die annually due" "_ still die from" "_ die each year" "_ still die each year" "_ are trafficked each year" "lives of over _" "_ die a year" "_ die around" "_ are still dying every year" "_ were raped in" "_ died each year" "_ die annually from" "_ are dying each year" "_ die annually in" ] using n500_000_women
CPL @1094 (98.4%) on 01-jan-2018 [ "arg1 died as arg2" "arg1 injured as arg2" "arg1 die as arg2" "arg1 die each year as arg2" "arg1 had died as arg2" "arg1 die every year as arg2" ] using (n500_000_women, result)
NELL has only weak evidence for items listed in grey
CPL @1094 (98.4%) on 01-jan-2018 [ "arg1 died as arg2" "arg1 injured as arg2" "arg1 die as arg2" "arg1 die each year as arg2" "arg1 had died as arg2" "arg1 die every year as arg2" ] using (n500_000_women, result)
CPL @1094 (98.4%) on 01-jan-2018 [ "arg1 died as arg2" "arg1 injured as arg2" "arg1 die as arg2" "arg1 die each year as arg2" "arg1 had died as arg2" "arg1 die every year as arg2" ] using (n500_000_women, result)
CPL @1094 (98.4%) on 01-jan-2018 [ "arg1 died as arg2" "arg1 injured as arg2" "arg1 die as arg2" "arg1 die each year as arg2" "arg1 had died as arg2" "arg1 die every year as arg2" ] using (n500_000_women, result)
CPL @1094 (98.4%) on 01-jan-2018 [ "arg1 died as arg2" "arg1 injured as arg2" "arg1 die as arg2" "arg1 die each year as arg2" "arg1 had died as arg2" "arg1 die every year as arg2" ] using (n500_000_women, result)
CPL @1094 (98.4%) on 01-jan-2018 [ "arg1 died as arg2" "arg1 injured as arg2" "arg1 die as arg2" "arg1 die each year as arg2" "arg1 had died as arg2" "arg1 die every year as arg2" ] using (n500_000_women, result)
CPL @1094 (98.4%) on 01-jan-2018 [ "arg1 died as arg2" "arg1 injured as arg2" "arg1 die as arg2" "arg1 die each year as arg2" "arg1 had died as arg2" "arg1 die every year as arg2" ] using (n500_000_women, result)
CPL @1094 (98.4%) on 01-jan-2018 [ "arg1 died as arg2" "arg1 injured as arg2" "arg1 die as arg2" "arg1 die each year as arg2" "arg1 had died as arg2" "arg1 die every year as arg2" ] using (n500_000_women, result)