Using Wikipedia for Automatic Word Sense Disambiguation

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Description

This paper describes a method for generating sense-tagged data using Wikipedia as a source of sense annotations. Through word sense disambiguation experiments, the authors show that the Wikipedia-based sense annotations are reliable and can be used to construct accurate sense classifiers.

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8 p.

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Mihalcea, Rada, 1974- April 2007.

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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 169 times , with 6 in the last month . More information about this paper can be viewed below.

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Description

This paper describes a method for generating sense-tagged data using Wikipedia as a source of sense annotations. Through word sense disambiguation experiments, the authors show that the Wikipedia-based sense annotations are reliable and can be used to construct accurate sense classifiers.

Physical Description

8 p.

Source

  • Human Language Technology (HLT) - North American Chapter of the Association for Computational Linguistics (NAACL) Conference, 2007, Rochester, New York, United States

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UNT Scholarly Works

The Scholarly Works Collection is home to materials from the University of North Texas community's research, creative, and scholarly activities and serves as UNT's Open Access Repository. It brings together articles, papers, artwork, music, research data, reports, presentations, and other scholarly and creative products representing the expertise in our university community. Access to some items in this collection may be restricted.

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Creation Date

  • April 2007

Added to The UNT Digital Library

  • Jan. 31, 2011, 2:01 p.m.

Description Last Updated

  • June 20, 2013, 1:06 p.m.

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Mihalcea, Rada, 1974-. Using Wikipedia for Automatic Word Sense Disambiguation, paper, April 2007; (digital.library.unt.edu/ark:/67531/metadc31000/: accessed April 25, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.