▁of ▁sens es . ▁Gener ally , ▁however , ▁research ▁results ▁using ▁broad ▁dist in ctions ▁in ▁sens es ▁have ▁been ▁much ▁better ▁than ▁those ▁using ▁narrow ▁ones . ▁However , ▁given ▁the ▁lack ▁of ▁a ▁full - f led ged ▁co arse - gra ined ▁sense ▁invent ory , ▁most ▁research ers ▁continue ▁to ▁work ▁on ▁fine - gra ined ▁W SD . ▁ ▁Most ▁research ▁in ▁the ▁field ▁of ▁W SD ▁is ▁performed ▁by ▁using ▁Word Net ▁as ▁a ▁reference ▁sense ▁invent ory ▁for ▁English . ▁Word Net ▁is ▁a ▁computational ▁lex icon ▁that ▁enc odes ▁concepts ▁as ▁syn onym ▁sets ▁( e . g . ▁the ▁concept ▁of ▁car ▁is ▁encoded ▁as ▁{ ▁car , ▁auto , ▁autom obile , ▁machine , ▁motor car ▁}). ▁Other ▁resources ▁used ▁for ▁dis ambiguation ▁purposes ▁include ▁Rog et ' s ▁Th es aur us ▁and ▁Wikipedia . ▁More ▁recently , ▁B abel Net , ▁a ▁mult iling ual ▁en cyc lop edic ▁dictionary , ▁has ▁been ▁used ▁for ▁mult iling ual ▁W SD . ▁ ▁Part - of - spe ech ▁tag ging ▁In ▁any ▁real ▁test , ▁part - of - spe ech ▁tag ging ▁and ▁sense ▁tag ging ▁are ▁very ▁closely ▁related ▁with ▁each ▁potentially ▁making ▁constraints ▁to ▁the ▁other . ▁And ▁the ▁question ▁whether ▁these ▁tasks ▁should ▁be ▁kept ▁together ▁or ▁dec ou ple d ▁is ▁still ▁not ▁un anim ously ▁resolved , ▁but ▁recently ▁scient ists ▁incl ine ▁to ▁test ▁these ▁things ▁separately ▁( e . g . ▁in