Combination of Global and Local Attributional Similarities for Synonym Detection

Autor:	Dias, Gael, Moraliyski, Rumen
Jazyk:	angličtina
Rok vydání:	2007
Předmět:	similarity measure discourse Synonym discovery
Popis:	In this paper, we present a new methodology for synonym detection based on the combination of global and local distributional similarities of pairs of words. The methodology is evaluated on the noun space of the 50 multiple-choice synonym questions taken from the ESL and reaches 91.30% accuracy using a conditional probabilistic model associated with the cosine similarity measure. 2000 Mathematics Subject Classification: 68T50.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4d569311f85b0dfadbe034b257b9f6cb https://hdl.handle.net/10525/2260 Zobrazit plný text záznamu