Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction

ACL 2016 Kim Anh NguyenSabine Schulte im WaldeNgoc Thang Vu

We propose a novel vector representation that integrates lexical contrast into distributional vectors and strengthens the most salient features for determining degrees of word similarity. The improved vectors significantly outperform standard models and distinguish antonyms from synonyms with an average precision of 0.66-0.76 across word classes (adjectives, nouns, verbs)... (read more)

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