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- W2107468113 abstract "Distributionalsimilarityprovidesatechniquefor obtainingsemanticallyrelatedwords fromcorpusdatausingautomatedmethodsthatcompa rethecontextsinwhichthe wordsappear.Suchmethodscanbeusefulforproduc ingthesauruses,withapplication toworkinlexicographyandcomputationallinguisti cs.However,themostsimilarwords producedusingthesemethodsarenotalwaysnearsy nonyms,butmaybewordsinother semanticrelationships:antonyms,hyponymsoreven looser'topical'relations.This meansthatmanualpost.processingofsuchautomatic allyproducedresourcestofilter outunwantedwordsmaybenecessarybeforetheycan beused.Thispaperevaluatesthe performanceofdistributionalmethodsforfindings ynonymsontheEnglishLexical SubstitutionTask,alexicalparaphrasingtaskwher eitisnecessarytogeneratecandidate synonymsforatargetwordandthenselectasuitab lesubstituteonthebasisof contextualinformation.Weexaminetheperformance" @default.
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- W2107468113 date "2010-07-01" @default.
- W2107468113 modified "2023-09-26" @default.
- W2107468113 title "Getting Synonym Candidates from Raw Data in the English Lexical Substitution Task" @default.
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