Semantic Indexing using WordNet Senses

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This article discusses semantic indexing using WordNet senses.

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11 p.

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Mihalcea, Rada, 1974- & Moldovan, Dan I. October 8, 2000.

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

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This article discusses semantic indexing using WordNet senses.

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11 p.

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Abstract: We describe in this paper a boolean Information Retrieval system that adds words semantics to the classic word based indexing. Two of the main tasks of our system, namely the indexing and retrieval components, are using a combined word-based and sense-based approach. The key to our system is a methodology for building semantic representations of open text, at word and collocation level. This new technique, called semantic indexing, shows improved effectiveness over the classic word based indexing techniques.

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  • Association for Computational Linguistics (ACL) Workshop, October 8, 2000. Hong Kong, P.R. China

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  • October 8, 2000

Added to The UNT Digital Library

  • April 13, 2012, 9:48 a.m.

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  • Nov. 17, 2023, 12:51 p.m.

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Mihalcea, Rada, 1974- & Moldovan, Dan I. Semantic Indexing using WordNet Senses, paper, October 8, 2000; (https://digital.library.unt.edu/ark:/67531/metadc83301/: accessed March 28, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Engineering.

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