Word-Sense Disambiguation Using Statistical Models of Roget's Categories Trained on Large Corpora
@inproceedings{Yarowsky1992WordSenseDU, title={Word-Sense Disambiguation Using Statistical Models of Roget's Categories Trained on Large Corpora}, author={David Yarowsky}, booktitle={COLING}, year={1992} }
This paper describes a program that disambiguates English word senses in unrestricted text using statistical models of the major Roget's Thesaurus categories. [...] Key Method The selection of categories is accomplished by identifying and weighting words that are indicative of each category when seen in context, using a Bayesian theoretical framework.Other statistical approaches have required special corpora or hand-labeled training examples for much of the lexicon. Our use of class models overcomes this…Expand Abstract
Topics from this paper
832 Citations
Using Conditional Probabilities of Weighted Terms for a Lexicon Based Sense Disambiguation System
- 2003
- 1
- PDF
Combining machine readable lexical resources and bilingual corpora for broad word sense disambiguation
- Computer Science
- AMTA
- 1996
- 7
- PDF
Principled Disambiguation: Discriminating Adjective Senses with Modified Nouns
- Computer Science
- Comput. Linguistics
- 1995
- 82
- PDF
Automatic Word Sense Disambiguation Using Cooccurrence and Hierarchical Information
- Computer Science
- NLDB
- 2010
- 8
- PDF
Combining Unsupervised Lexical Knowledge Methods for Word Sense Disambiguation
- Computer Science
- ACL
- 1997
- 78
- PDF
References
SHOWING 1-10 OF 79 REFERENCES
Automatic sense disambiguation using machine readable dictionaries: how to tell a pine cone from an ice cream cone
- Engineering, Computer Science
- SIGDOC '86
- 1986
- 1,998
- PDF
Word Sense Disambiguation with Very Large Neural Networks Extracted from Machine Readable Dictionaries
- Computer Science
- COLING
- 1990
- 195
- PDF
An Experiment in Computational Discrimination of English Word Senses
- Computer Science
- IBM J. Res. Dev.
- 1988
- 87
- Highly Influential