Evaluating embeddings on dictionary-based similarity

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Abstract

We propose a method for evaluating embeddings against dictionaries with tens or hundreds of thousands of entries, covering the entire gamut of the vocabulary.

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Acs, J., & Kornai, A. (2016). Evaluating embeddings on dictionary-based similarity. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 78–82). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w16-2514

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