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The Word Analogy Testing Caveat

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Host publication Subtitle

Volume 2 (Short Papers)

Original language

English

Pages from-to (Number of pages)

Pages 242–246 (5 pages)

Publication milestones

  • Published - 01/06/2018

Publication status

Published - 01/06/2018

Publisher

Association for Computational Linguistics, United States

ISBN (Electronic)

978-1-948087-29-2

Publication IDs

  • Scopus: 85082451247

Host publication title

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Abstract

There are some important problems in the evaluation of word embeddings using standard word analogy tests. In particular, in virtue of the assumptions made by systems generating the embeddings, these remain tests over randomness. We show that even supposing there were such word analogy regularities that
should be detected in the word embeddings obtained via unsupervised means, standard word analogy test implementation practices provide distorted or contrived results. We raise concerns regarding the use of Principal Component Analysis to 2 or 3 dimensions as a provision of visual evidence for the existence of word analogy relations in embeddings. Finally, we propose some solutions to these problems.

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Citations
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Captures
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