Learning to Negate Adjectives with Bilinear Models

EACL 2017 Laura RimellAm MabonalaLuana BulatDouwe Kiela

We learn a mapping that negates adjectives by predicting an adjective{'}s antonym in an arbitrary word embedding model. We show that both linear models and neural networks improve on this task when they have access to a vector representing the semantic domain of the input word, e.g. a centroid of temperature words when predicting the antonym of {`}cold{'}... (read more)

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