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Proceedings of the 14th conference on Computational linguistics -
This paper describes a program that disambignates English word senses in unrestricted text using statistical models of the major Roget's Thesaurus categories. Roget's categories serve as approximations of conceptual classes. The categories listed for a word in Roger's index tend to correspond to sense distinctions; thus selecting the most likely category provides a useful level of sense disambiguatiou. The selection of categories is accomplished by identifying and weighting words that aredoi:10.3115/992133.992140 fatcat:rgqvaqqtfve3binhvnfyqpaeca