Computer Science – Computation and Language
Scientific paper
2000-01-18
37th Annual Meeting of the ACL, 1999, pp. 25-32
Computer Science
Computation and Language
9 pages, 3 figures
Scientific paper
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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