SenseLearner: Word Sense Disambiguation for All Words in Unrestricted Text
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Description
This paper describes SenseLearner, a minimally supervised word sense disambiguation system that attempts to disambiguate all content words in a text using WordNet senses.
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This paper describes SenseLearner, a minimally supervised word sense disambiguation system that attempts to disambiguate all content words in a text using WordNet senses.
Physical Description
4 p.
Notes
Abstract: This paper describes SenseLearner, a minimally supervised word sense disambiguation system that attempts to disambiguate all content words in a text using WordNet senses. The authors evaluate the accuracy of SenseLearner on several standard sense-annotated data sets, and show that it compares favorably with the best results reported during the recent SENSEVAL evaluations.
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Mihalcea, Rada, 1974- & Csomai, Andras.SenseLearner: Word Sense Disambiguation for All Words in Unrestricted Text,
paper,
June 2005;
[Stroudsburg, Pennsylvania].
(https://digital.library.unt.edu/ark:/67531/metadc30975/:
accessed April 23, 2024),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
crediting UNT College of Engineering.
