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A novel retrieval approach reflecting variability of syntactic phrase representation

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dc.contributor.authorSong, Young-In-
dc.contributor.authorHan, Kyoung-Soo-
dc.contributor.authorKim, Sang-Bum-
dc.contributor.authorPark, So-Young-
dc.contributor.authorRim, Hae-Chang-
dc.date.accessioned2021-09-09T02:11:18Z-
dc.date.available2021-09-09T02:11:18Z-
dc.date.created2021-06-10-
dc.date.issued2008-12-
dc.identifier.issn0925-9902-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/122341-
dc.description.abstractIn this paper, we introduce variability of syntactic phrases and propose a new retrieval approach reflecting the variability of syntactic phrase representation. With variability measure of a phrase, we can estimate how likely a phrase in a given query would appear in relevant documents and control the impact of syntactic phrases in a retrieval model. Various experimental results over different types of queries and document collections show that our retrieval model based on variability of syntactic phrases is very effective in terms of retrieval performance, especially for long natural language queries.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherSPRINGER-
dc.titleA novel retrieval approach reflecting variability of syntactic phrase representation-
dc.typeArticle-
dc.contributor.affiliatedAuthorRim, Hae-Chang-
dc.identifier.doi10.1007/s10844-007-0045-0-
dc.identifier.scopusid2-s2.0-55849090688-
dc.identifier.wosid000260769100004-
dc.identifier.bibliographicCitationJOURNAL OF INTELLIGENT INFORMATION SYSTEMS, v.31, no.3, pp.265 - 286-
dc.relation.isPartOfJOURNAL OF INTELLIGENT INFORMATION SYSTEMS-
dc.citation.titleJOURNAL OF INTELLIGENT INFORMATION SYSTEMS-
dc.citation.volume31-
dc.citation.number3-
dc.citation.startPage265-
dc.citation.endPage286-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.subject.keywordAuthorInformation retrieval-
dc.subject.keywordAuthorRetrieval model-
dc.subject.keywordAuthorStructural language model-
dc.subject.keywordAuthorSyntactic phrase-
dc.subject.keywordAuthorHead-modifier pair-
dc.subject.keywordAuthorWeighting phrases-
dc.subject.keywordAuthorVariability of phrase-
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