Tree-cut and a lexicon based on systematic polysemy

Authors:
Noriko Tomuro
Affiliations:
DePaul University, Chicago, IL
Venue:
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Year:
2001

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Abstract

This paper describes a lexicon organized around systematic polysemy: a set of word senses that are related in systematic and predictable ways. The lexicon is derived by a fully automatic extraction method which utilizes a clustering technique called tree-cut. We compare our lexicon to WordNet cousins, and the inter-annotator disagreement observed between WordNet Semcor and DSO corpora.