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arXiv · 2004.12835

Intuitive Contrasting Map for Antonym Embeddings

Igor Samenko·Alexey Tikhonov·Ivan P. Yamshchikov
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Abstract

This paper shows that, modern word embeddings contain information that distinguishes synonyms and antonyms despite small cosine similarities between corresponding vectors. This information is encoded in the geometry of the embeddings and could be extracted with a straight-forward and intuitive manifold learning procedure or a contrasting map. Such a map is trained on a small labeled subset of the data and can produce new embeddings that explicitly highlight specific semantic attributes of the word. The new embeddings produced by the map are shown to improve the performance on downstream tasks.

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Igor Samenko, Alexey Tikhonov, Ivan P. Yamshchikov. 2020-04-27. Intuitive Contrasting Map for Antonym Embeddings. https://doi.org/10.3233/faia210282

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