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dc.contributor.authorErcan, G.en_US
dc.contributor.authorCicekli, I.en_US
dc.date.accessioned2016-02-08T10:12:28Z
dc.date.available2016-02-08T10:12:28Z
dc.date.issued2007-11en_US
dc.identifier.issn0306-4573
dc.identifier.urihttp://hdl.handle.net/11693/23343
dc.description.abstractKeywords can be considered as condensed versions of documents and short forms of their summaries. In this paper, the problem of automatic extraction of keywords from documents is treated as a supervised learning task. A lexical chain holds a set of semantically related words of a text and it can be said that a lexical chain represents the semantic content of a portion of the text. Although lexical chains have been extensively used in text summarization, their usage for keyword extraction problem has not been fully investigated. In this paper, a keyword extraction technique that uses lexical chains is described, and encouraging results are obtained. © 2007 Elsevier Ltd. All rights reserved.en_US
dc.language.isoEnglishen_US
dc.source.titleInformation Processing and Managementen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.ipm.2007.01.015en_US
dc.subjectKeyword extractionen_US
dc.subjectLexical chainsen_US
dc.subjectMachine learningen_US
dc.subjectNatural language processingen_US
dc.subjectClassification (of information)en_US
dc.subjectLearning systemsen_US
dc.subjectNatural language processing systemsen_US
dc.subjectSemanticsen_US
dc.subjectText processingen_US
dc.titleUsing lexical chains for keyword extractionen_US
dc.typeArticleen_US
dc.departmentDepartment of Computer Engineeringen_US
dc.citation.spage1705en_US
dc.citation.epage1714en_US
dc.citation.volumeNumber43en_US
dc.citation.issueNumber6en_US
dc.identifier.doi10.1016/j.ipm.2007.01.015en_US
dc.publisherElsevier Ltden_US


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