论文信息 - One Sense per Collocation

One Sense per Collocation

Previous work [Gale, Church and Yarowsky, 1992] showed that with high probability a polysemous word has one sense per discourse. In this paper we show that for certain definitions of collocation, a polysemous word exhibits essentially only one sense per collocation. We test this empirical hypothesis for several definitions of sense and collocation, and discover that it holds with 90--99% accuracy for binary ambiguities. We utilize this property in a disambiguation algorithm that achieves precision of 92% using combined models of very local context.

David Yarowsky | David Yarowsky

[1] Philip Resnik. A Class-Based Approach to Lexical Discovery , 1992, ACL.

[2] Ellen M. Voorhees,et al. Corpus-Based Statistical Sense Resolution , 1993, HLT.

[3] Edward F. Kelly,et al. Computer recognition of English word senses , 1975 .

[4] David Yarowsky,et al. Word-Sense Disambiguation Using Statistical Models of Roget’s Categories Trained on Large Corpora , 2010, COLING.

[5] David Yarowsky,et al. A corpus-based synthesizer , 1992, ICSLP.

[6] Lalit R. Bahl,et al. A tree-based statistical language model for natural language speech recognition , 1989, IEEE Trans. Acoust. Speech Signal Process..

[7] Robert L. Mercer,et al. Word-Sense Disambiguation Using Statistical Methods , 1991, ACL.

[8] David Yarowsky,et al. A method for disambiguating word senses in a large corpus , 1992, Comput. Humanit..

[9] Marti A. Hearst. Noun Homograph Disambiguation Using Local Context in Large Text Corpora , 1991 .

[10] Ronald L. Rivest,et al. Learning decision lists , 2004, Machine Learning.

[11] David Yarowsky,et al. One Sense Per Discourse , 1992, HLT.