The (too Many) Problems of Analogical Reasoning with Word Vectors

SEMEVAL 2017  ·  Anna Rogers, Aleks Drozd, R, Bofang Li ·

This paper explores the possibilities of analogical reasoning with vector space models. Given two pairs of words with the same relation (e.g. man:woman :: king:queen), it was proposed that the offset between one pair of the corresponding word vectors can be used to identify the unknown member of the other pair (king - man + woman = queen). We argue against such {``}linguistic regularities{''} as a model for linguistic relations in vector space models and as a benchmark, and we show that the vector offset (as well as two other, better-performing methods) suffers from dependence on vector similarity.

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