SenseLearner: Minimally Supervised Word Sense Disambiguation for All Words in Open Text

Mihalcea, Rada, 1974-; Faruque, Ehsanul

SenseLearner: Minimally Supervised Word Sense Disambiguation for All Words in Open Text

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Description

This paper introduces SenseLearner - a minimally supervised sense tagger that attempts to disambiguate all content words in a text using the sense from WordNet. SenseLearner participated in the SENSEVAL-3 English all words task, and achieved an average accuracy of 64.6%.

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4 p.

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Mihalcea, Rada, 1974- & Faruque, Ehsanul 2004.

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This paper 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 418 times. More information about this paper can be viewed below.

Authors

Mihalcea, Rada, 1974- University of North Texas
Faruque, Ehsanul University of North Texas

Organizer of meeting

Association for Computational Linguistics. Special Interest Group on the Lexicon.

Publisher

Association for Computational Linguistics
Place of Publication: [Stroudsburg, Pennsylvania]

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UNT College of Engineering

The UNT College of Engineering strives to educate and train engineers and technologists who have the vision to recognize and solve the problems of society. The college comprises six degree-granting departments of instruction and research.

Degree Information

Department: Computer Science and Engineering

Description

This paper introduces SenseLearner - a minimally supervised sense tagger that attempts to disambiguate all content words in a text using the sense from WordNet. SenseLearner participated in the SENSEVAL-3 English all words task, and achieved an average accuracy of 64.6%.

Physical Description

4 p.

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Association for Computational Linguistics (ACL)/SIGLEX Senseval-3 Conference, July 21-26, 2004. Barcelona, Spain

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English

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Paper

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Archival Resource Key: ark:/67531/metadc30961

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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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2004

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Jan. 31, 2011, 2:01 p.m.

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Nov. 17, 2023, 12:53 p.m.

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Mihalcea, Rada, 1974- & Faruque, Ehsanul. SenseLearner: Minimally Supervised Word Sense Disambiguation for All Words in Open Text, paper, 2004; [Stroudsburg, Pennsylvania]. (https://digital.library.unt.edu/ark:/67531/metadc30961/: accessed July 2, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Engineering.

SenseLearner: Minimally Supervised Word Sense Disambiguation for All Words in Open Text

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