Word Sense Disambiguation with Pattern Learning and Automatic Feature Selection

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Article discussing word sense disambiguation with pattern learning and automatic feature selection.

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15 p.

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Mihalcea, Rada, 1974- January 22, 2003.

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This article is part of the collection entitled: UNT Scholarly Works and was provided by the UNT College of Engineering to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 210 times. More information about this article can be viewed below.

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Article discussing word sense disambiguation with pattern learning and automatic feature selection.

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15 p.

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Abstract: This paper presents a novel approach for word sense disambiguation. The underlying algorithm has two main components: (1) pattern learning from available sense-tagged corpora (SemCor), from dictionary definitions (WordNet) and from a generated corpus (GenCor), and (2) instance based learning with automatic feature selection, when training data is available for a particular word. The ideas described in this paper were implemented in a system that achieved the best score during the SENSEVAL-2 evaluation exercise, for both English all words and English lexical sample tasks.

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  • Journal of Natural Science and Engineering, 8(4), Cambridge University Press, January 22, 2003, pp. 1-15

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  • Publication Title: Journal of Natural Language Engineering
  • Volume: 8
  • Issue: 4
  • Peer Reviewed: Yes

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UNT Scholarly Works

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  • January 22, 2003

Added to The UNT Digital Library

  • Jan. 31, 2011, 2:01 p.m.

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  • Dec. 8, 2023, 1:10 p.m.

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Mihalcea, Rada, 1974-. Word Sense Disambiguation with Pattern Learning and Automatic Feature Selection, article, January 22, 2003; [New York, New York]. (https://digital.library.unt.edu/ark:/67531/metadc30945/: accessed February 27, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Engineering.

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