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Abstract: This paper describes a program that disambiguates 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 Roget's index tend to correspond to sense distinctions; thus selecting the most likely category provides a useful level of sense disambiguation. The selection of categories is accomplished by identifying and weighting words that are... (Update)
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BibTeX entry: (Update)
Yarowsky, D. 1992. Word-sense disambiguation using statistical models of Roget's categories trained on large corpora. In Proc. COLING92, Nantes, France. http://citeseer.ist.psu.edu/yarowsky92wordsense.html More
@inproceedings{ yarowsky92wordsense,
author = "David Yarowsky",
title = "Word-Sense Disambiguation using Statistical Models of {Roget}'s Categories Trained on Large Corpora",
booktitle = "Proceedings of {COLING}-92",
month = "July",
address = "Nantes, France",
pages = "454--460",
year = "1992",
url = "citeseer.ist.psu.edu/yarowsky92wordsense.html" }
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