Building a Sense Tagged Corpus with Open Mind Word Expert

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This paper discusses building a sense tagged corpus with Open Mind Word Expert, an implemented active learning system for collecting word sense tagging from the general public over the Web.

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7 p.

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Chklovski, Timothy A. (Timothy Anatolievich), 1977- & Mihalcea, Rada, 1974- July 2002.

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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 142 times . More information about this paper can be viewed below.

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This paper discusses building a sense tagged corpus with Open Mind Word Expert, an implemented active learning system for collecting word sense tagging from the general public over the Web.

Physical Description

7 p.

Notes

Abstract: Open Mind Word Expert is an implemented active learning system for collecting word sense tagging from the general public over the Web. It is available at http://teach-computers.org. The authors expect the system to yield a large volume of high-quality training data at a much lower cost than the traditional method of hiring lexicographers. The authors thus propose a Senseval-3 lexical sample activity where the training data is collected via Open Mind Word Expert. If successful, the collection process can be extended to create the definitive corpus of word sense information.

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  • Association for Computational Linguistics Workshop on Word Sense Disambiguation, 2002, Philadelphia, Pennsylvania, United States

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UNT Scholarly Works

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  • July 2002

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  • April 6, 2012, 2:30 p.m.

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  • April 28, 2014, 1:48 p.m.

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Chklovski, Timothy A. (Timothy Anatolievich), 1977- & Mihalcea, Rada, 1974-. Building a Sense Tagged Corpus with Open Mind Word Expert, paper, July 2002; (digital.library.unt.edu/ark:/67531/metadc81389/: accessed June 25, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.