DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, C | - |
dc.contributor.author | Lee, GG | - |
dc.date.accessioned | 2016-04-01T02:19:23Z | - |
dc.date.available | 2016-04-01T02:19:23Z | - |
dc.date.created | 2009-03-18 | - |
dc.date.issued | 2005-03 | - |
dc.identifier.issn | 0306-4573 | - |
dc.identifier.other | 2004-OAK-0000004694 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/24912 | - |
dc.description.abstract | Most previous information retrieval (IR) models assume that terms of queries and documents are statistically independent from each other. However, conditional independence assumption is obviously and openly understood to be wrong, so we present a new method of incorporating term dependence into a probabilistic retrieval model by adapting a dependency structured indexing system using a dependency parse tree and Chow Expansion to compensate the weakness of the assumption. In this paper, we describe a theoretic process to apply the Chow Expansion to the general probabilistic models and the state-of-the-art 2-Poisson model. Through experiments on document collections in English and Korean, we demonstrate that the incorporation of term dependences using Chow Expansion contributes to the improvement of performance in probabilistic IR systems. (C) 2003 Elsevier Ltd. All rights reserved. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.relation.isPartOf | INFORMATION PROCESSING & MANAGEMENT | - |
dc.subject | information retrieval | - |
dc.subject | term dependence | - |
dc.subject | chow expansion | - |
dc.subject | dependency parse tree | - |
dc.subject | probabilistic model | - |
dc.subject | 2-Poisson model | - |
dc.subject | TERM DEPENDENCE | - |
dc.subject | BOOLEAN QUERIES | - |
dc.title | Probabilistic information retrieval model for a dependency structured indexing system | - |
dc.type | Article | - |
dc.contributor.college | 컴퓨터공학과 | - |
dc.identifier.doi | 10.1016/j.ipm.2003.11.001 | - |
dc.author.google | Lee, C | - |
dc.author.google | Lee, GG | - |
dc.relation.volume | 41 | - |
dc.relation.issue | 2 | - |
dc.relation.startpage | 161 | - |
dc.relation.lastpage | 175 | - |
dc.contributor.id | 10103841 | - |
dc.relation.journal | INFORMATION PROCESSING & MANAGEMENT | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCIE | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | INFORMATION PROCESSING & MANAGEMENT, v.41, no.2, pp.161 - 175 | - |
dc.identifier.wosid | 000225323100001 | - |
dc.date.tcdate | 2019-02-01 | - |
dc.citation.endPage | 175 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 161 | - |
dc.citation.title | INFORMATION PROCESSING & MANAGEMENT | - |
dc.citation.volume | 41 | - |
dc.contributor.affiliatedAuthor | Lee, GG | - |
dc.identifier.scopusid | 2-s2.0-7544245658 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 11 | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | information retrieval | - |
dc.subject.keywordAuthor | term dependence | - |
dc.subject.keywordAuthor | chow expansion | - |
dc.subject.keywordAuthor | dependency parse tree | - |
dc.subject.keywordAuthor | probabilistic model | - |
dc.subject.keywordAuthor | 2-Poisson model | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Information Science & Library Science | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Information Science & Library Science | - |
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