The Word Analogy Testing Caveat

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review


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.
Original languageEnglish
Title of host publicationProceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies : Volume 2 (Short Papers)
Number of pages5
PublisherAssociation for Computational Linguistics
Publication date1 Jun 2018
ISBN (Electronic)978-1-948087-29-2
Publication statusPublished - 1 Jun 2018


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