In Proceedings of the 11th conference of the European chapter of the Association for Computational Linguistics (EACL-2006), April 2006, Trento, Italy.

ABSTRACT: The degree of dominance of a sense of a word is the proportion of occurrences of that sense in text. We propose four new methods to accurately determine word sense dominance using raw text and a published thesaurus. Unlike the McCarthy et al. (2004) system, these methods can be used on relatively small target texts, without the need for a similarly-sense-distributed auxiliary text. We perform an extensive evaluation using artificially generated thesaurus-sense-tagged data. In the process, we create a word--category co-occurrence matrix, which can be used for unsupervised word sense disambiguation and estimating distributional similarity of word senses, as well.

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