. ▁However , ▁it ▁is ▁not ▁at ▁all ▁clear ▁if ▁these ▁same ▁meaning ▁dist in ctions ▁are ▁applicable ▁in ▁computational ▁applications , ▁as ▁the ▁dec isions ▁of ▁lex ic ograph ers ▁are ▁usually ▁driven ▁by ▁other ▁consider ations . ▁In ▁ 2 0 0 9 , ▁a ▁task ▁– ▁named ▁lex ical ▁substitution ▁– ▁was ▁proposed ▁as ▁a ▁possible ▁solution ▁to ▁the ▁sense ▁dis cre ten ess ▁problem . ▁The ▁task ▁consists ▁of ▁providing ▁a ▁substitute ▁for ▁a ▁word ▁in ▁context ▁that ▁pres erves ▁the ▁meaning ▁of ▁the ▁original ▁word ▁( pot entially , ▁subst it utes ▁can ▁be ▁chosen ▁from ▁the ▁full ▁lex icon ▁of ▁the ▁target ▁language , ▁thus ▁over coming ▁dis cre ten ess ). ▁ ▁Appro aches ▁and ▁methods ▁As ▁in ▁all ▁natural ▁language ▁processing , ▁there ▁are ▁two ▁main ▁approaches ▁to ▁W SD ▁– ▁deep ▁approaches ▁and ▁shall ow ▁approaches . ▁ ▁Deep ▁approaches ▁pres ume ▁access ▁to ▁a ▁compreh ensive ▁body ▁of ▁world ▁knowledge . ▁Know ledge , ▁such ▁as ▁" you ▁can ▁go ▁fish ing ▁for ▁a ▁type ▁of ▁fish , ▁but ▁not ▁for ▁low ▁frequency ▁sounds " ▁and ▁" song s ▁have ▁low ▁frequency ▁sounds ▁as ▁parts , ▁but ▁not ▁types ▁of ▁fish ", ▁is ▁then ▁used ▁to ▁determine ▁in ▁which ▁sense ▁the ▁word ▁bass ▁is ▁used . ▁These ▁approaches ▁are ▁not ▁very ▁successful ▁in ▁practice , ▁mainly ▁because ▁such ▁a ▁body ▁of ▁knowledge ▁does ▁not ▁exist ▁in ▁a ▁computer - read able ▁format , ▁outside ▁very ▁limited ▁domains . ▁However , ▁if ▁such ▁knowledge