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An Ordering of Terms Based on Semantic Relatedness
University of Borås, Swedish School of Library and Information Science.
University of Borås, Swedish School of Library and Information Science.
2009 (English)In: Proceedings of IWCS-8, January 7-9, 2009, Tilburg, The Netherlands / [ed] H Bunt, V Petukhova, S Wubben, 2009, p. 235-247Conference paper, Published paper (Refereed)
Abstract [en]

Term selection methods typically employ a statistical measure to filter or weight terms. Term expansion for IR may also depend on statistics, or use some other, non-metric method based on a lexical resource. At the same time, a wide range of semantic similarity measures have been developed to support natural language processing tasks such as word sense disambiguation. This paper combines the two approaches and proposes an algorithm that provides a semantic order of terms based on a semantic relatedness measure. This semantic order can be exploited by term weighting and term expansion methods.

Place, publisher, year, edition, pages
2009. p. 235-247
Keywords [en]
term selection, statistical measure, lexical resource, 1-d semantic ordering, term weighting, term expansion, information retrieval, text categorization, language technology, computational semantics, text categorization, information retrieval
National Category
Information Studies Language Technology (Computational Linguistics) Mathematics
Identifiers
URN: urn:nbn:se:hb:diva-6024Local ID: 2320/4301OAI: oai:DiVA.org:hb-6024DiVA, id: diva2:886708
Conference
IWCS-8, January 7-9, 2009, Tilburg, The Netherlands
Available from: 2015-12-22 Created: 2015-12-22 Last updated: 2018-01-10Bibliographically approved

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Wittek, PeterDarányi, Sándor

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