SenseLearner: Word Sense Disambiguation for All Words in Unrestricted Text

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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.

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4 p.

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Mihalcea, Rada, 1974- & Csomai, Andras June 2005.

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This paper is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Engineering to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 148 times . More information about this paper can be viewed below.

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The UNT College of Engineering promotes intellectual and scholarly pursuits in the areas of computer science and engineering, preparing innovative leaders in a variety of disciplines. The UNT College of Engineering encourages faculty and students to pursue interdisciplinary research among numerous subjects of study including databases, numerical analysis, game programming, and computer systems architecture.

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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.

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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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  • Forty-Third Annual Meeting of the Association for Computational Linguistics (ACL), 2005, Ann Arbor, Michigan, United States

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UNT Scholarly Works

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

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  • June 2005

Added to The UNT Digital Library

  • Jan. 31, 2011, 2:01 p.m.

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  • March 27, 2014, 1:06 p.m.

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Mihalcea, Rada, 1974- & Csomai, Andras. SenseLearner: Word Sense Disambiguation for All Words in Unrestricted Text, paper, June 2005; [Stroudsburg, Pennsylvania]. (digital.library.unt.edu/ark:/67531/metadc30975/: accessed September 22, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.