▁mon ol ing ual ▁W SD ▁evaluation ▁tasks ▁use ▁Word Net ▁as ▁the ▁sense ▁invent ory ▁and ▁are ▁largely ▁based ▁on ▁super vised / sem i - super vised ▁classification ▁with ▁the ▁manually ▁sense ▁annot ated ▁corpor a : ▁ ▁Classic ▁English ▁W SD ▁uses ▁the ▁Pr inc eton ▁Word Net ▁as ▁it ▁sense ▁invent ory ▁and ▁the ▁primary ▁classification ▁input ▁is ▁normally ▁based ▁on ▁the ▁Sem Cor ▁cor pus . ▁ ▁Class ical ▁W SD ▁for ▁other ▁languages ▁uses ▁their ▁respective ▁Word Net ▁as ▁sense ▁invent ories ▁and ▁sense ▁annot ated ▁corpor a ▁tag ged ▁in ▁their ▁respective ▁languages . ▁O ften ▁research ers ▁will ▁also ▁t apped ▁on ▁the ▁Sem Cor ▁cor pus ▁and ▁aligned ▁b ite xt s ▁with ▁English ▁as ▁its ▁source ▁language ▁ ▁Cross - ling ual ▁W SD ▁evaluation ▁task ▁is ▁also ▁focused ▁on ▁W SD ▁across ▁ 2 ▁or ▁more ▁languages ▁simultaneously . ▁Un like ▁the ▁Mult iling ual ▁W SD ▁tasks , ▁instead ▁of ▁providing ▁manually ▁sense - annot ated ▁examples ▁for ▁each ▁sense ▁of ▁a ▁pol ys em ous ▁n oun , ▁the ▁sense ▁invent ory ▁is ▁built ▁up ▁on ▁the ▁basis ▁of ▁parallel ▁corpor a , ▁e . g . ▁Euro par l ▁cor pus . ▁ ▁Mult iling ual ▁W SD ▁evaluation ▁tasks ▁focused ▁on ▁W SD ▁across ▁ 2 ▁or ▁more ▁languages ▁simultaneously , ▁using ▁their ▁respective ▁Word N ets ▁as ▁its ▁sense ▁invent ories ▁or ▁B abel Net ▁as ▁mult iling ual ▁sense ▁invent ory . ▁It ▁evol ved ▁from