Counter-fitting Word Vectors to Linguistic Constraints

NAACL 2016 Nikola MrkšićDiarmuid Ó SéaghdhaBlaise ThomsonMilica GašićLina Rojas-BarahonaPei-Hao SuDavid VandykeTsung-Hsien WenSteve Young

In this work, we present a novel counter-fitting method which injects antonymy and synonymy constraints into vector space representations in order to improve the vectors' capability for judging semantic similarity. Applying this method to publicly available pre-trained word vectors leads to a new state of the art performance on the SimLex-999 dataset... (read more)

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