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Measures of Distributional Similarity

Lillian Lee
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Abstract

We study distributional similarity measures for the purpose of improving probability estimation for unseen cooccurrences. Our contributions are three-fold: an empirical comparison of a broad range of measures; a classification of similarity functions based on the information that they incorporate; and the introduction of a novel function that is superior at evaluating potential proxy distributions.

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Lillian Lee. 2000-01-18. Measures of Distributional Similarity. https://arxiv.org/abs/cs/0001012

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