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Volumn , Issue , 2010, Pages 382-386

Modeling document summarization as multi-objective optimization

Author keywords

Document summarization; Multi objective optimization; Query sensitive term weighting and clustering

Indexed keywords

DOCUMENT SUMMARIZATION; INFORMATION COVERAGE; MULTI-OBJECTIVE OPTIMIZATION PROBLEM; OBJECTIVE FUNCTIONS; RESEARCH DIRECTIONS; TERM WEIGHTING;

EID: 77952704255     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IITSI.2010.80     Document Type: Conference Paper
Times cited : (44)

References (12)
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  • 2
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    • A Formal Model for Information Selection in Multi-Sentence Text Extraction
    • Article No: 397
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    • Filatova, E.1    Hatzivassiloglou, V.2
  • 3
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    • A Critical Review of Multi-Objective Optimization in Data Mining: A Position Paper
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    • (2004) ACM SIGKDD Explorations Newsletter , vol.6 , Issue.2 , pp. 77-86
    • Freitas, A.1
  • 4
    • 0036989446 scopus 로고    scopus 로고
    • Resolving Query Translation Ambiguity using a Decaying Co-occurrence Model and Syntactic Dependence Relations
    • J. F. Gao, J. Y. Nie, H. Z. He, W. J. Chen, and M. Zhou, "Resolving Query Translation Ambiguity using a Decaying Co-occurrence Model and Syntactic Dependence Relations", Proc. ACM SIGIR, 2002, pp 183-190.
    • (2002) Proc. ACM SIGIR , pp. 183-190
    • Gao, J.F.1    Nie, J.Y.2    He, H.Z.3    Chen, W.J.4    Zhou, M.5
  • 5
    • 34547967524 scopus 로고    scopus 로고
    • Automatic Summarising: The State of the art
    • K. S. Jones, "Automatic Summarising: The State of the art", Information Processing and Management, 2007, 43: 1449-1481.
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    • Jones, K.S.1
  • 6
    • 0004212367 scopus 로고    scopus 로고
    • I. Mani and M. T. Maybury (Eds.), The MIT Press
    • I. Mani and M. T. Maybury (Eds.), "Advances in Automatic Summarization", The MIT Press, 1999.
    • (1999) Advances in Automatic Summarization
  • 7
    • 33746044621 scopus 로고    scopus 로고
    • Keyword Extraction from a Single Document Using Word Co-occurrence Statistical Information
    • Y. Matsuo and M. Ishizuka, "Keyword Extraction from a Single Document Using Word Co-occurrence Statistical Information", International Journal on Artificial Intelligence Tools, 2003, 13(1):157-169.
    • (2003) International Journal on Artificial Intelligence Tools , vol.13 , Issue.1 , pp. 157-169
    • Matsuo, Y.1    Ishizuka, M.2
  • 8
    • 37149002864 scopus 로고    scopus 로고
    • A Study of Global Inference Algorithms in Multi-document Summarization
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  • 11
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    • Multi-Document Summarization by Maximizing Informative Content-Words
    • Wen-Tau Yih, Joshua Goodman, Lucy Vanderwende, and Hisami Suzuki, "Multi-Document Summarization by Maximizing Informative Content-Words", Proc. IJCAI, 2007, pp1776-1782.
    • (2007) Proc. IJCAI , pp. 1776-1782
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  • 12
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    • Automatic Evaluation of Summaries Using N-gram Co-occurrence Statistics
    • C. Y. Lin and E. Hovy, "Automatic Evaluation of Summaries Using N-gram Co-occurrence Statistics", Proc. HLT-NAACL, pp71-78.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.