▁in ▁the ▁latter ▁all ▁the ▁words ▁in ▁a ▁piece ▁of ▁running ▁text ▁need ▁to ▁be ▁dis ambigu ated . ▁The ▁latter ▁is ▁de emed ▁a ▁more ▁real istic ▁form ▁of ▁evaluation , ▁but ▁the ▁cor pus ▁is ▁more ▁expensive ▁to ▁produce ▁because ▁human ▁annot ators ▁have ▁to ▁read ▁the ▁definitions ▁for ▁each ▁word ▁in ▁the ▁sequence ▁every ▁time ▁they ▁need ▁to ▁make ▁a ▁tag ging ▁jud g ement , ▁rather ▁than ▁once ▁for ▁a ▁block ▁of ▁instances ▁for ▁the ▁same ▁target ▁word . ▁ ▁To ▁give ▁a ▁hint ▁how ▁all ▁this ▁works , ▁consider ▁three ▁examples ▁of ▁the ▁distinct ▁sens es ▁that ▁exist ▁for ▁the ▁( written ) ▁word ▁" b ass ": ▁ ▁a ▁type ▁of ▁fish ▁ ▁t ones ▁of ▁low ▁frequency ▁ ▁a ▁type ▁of ▁instrument ▁and ▁the ▁sentences : ▁ ▁I ▁went ▁fish ing ▁for ▁some ▁sea ▁bass . ▁ ▁The ▁bass ▁line ▁of ▁the ▁song ▁is ▁too ▁weak . ▁ ▁To ▁people ▁who ▁understand ▁English , ▁the ▁first ▁sentence ▁is ▁using ▁the ▁word ▁" b ass ▁( fish )" ▁, ▁as ▁in ▁the ▁former ▁sense ▁above ▁and ▁in ▁the ▁second ▁sentence , ▁the ▁word ▁" b ass ▁( inst rument )" ▁ ▁is ▁being ▁used ▁as ▁in ▁the ▁latter ▁sense ▁below . ▁Develop ing ▁algorithms ▁to ▁rep licate ▁this ▁human ▁ability ▁can ▁often ▁be ▁a ▁difficult ▁task , ▁as ▁is ▁further ▁exempl ified ▁by ▁the ▁implicit ▁equ iv ocation ▁between ▁" b ass ▁( sound )" ▁and ▁" b ass ▁( inst rument ) ". ▁ ▁History ▁W