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Volumn , Issue , 2011, Pages 90-95

Weighted graph model based sentence clustering and ranking for document summarization

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DOCUMENT SUMMARIZATION; MATRIX; SENTENCE CLUSTERING; SENTENCE SIMILARITY; SPARSE NON-NEGATIVE MATRIX FACTORIZATIONS; WEIGHTED GRAPH; WEIGHTED UNDIRECTED GRAPH;

EID: 80053389376     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (29)

References (21)
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  • 3
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    • Gong, Y.1    Liu, X.2
  • 6
    • 55949125004 scopus 로고    scopus 로고
    • Automatic generic document summarization based on non-negative matrix factorization
    • J. Lee, S. Park, C. Ahn, and D. Kim, "Automatic generic document summarization based on non-negative matrix factorization," Information Processing & Management, vol. 45, no. 1, pp. 20-34, 2009.
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  • 8
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    • Lin, C.1    Hovy, E.2
  • 10
    • 47349121015 scopus 로고    scopus 로고
    • GA, MR, FFNN, PNN and GMM based models for automatic text summarization
    • M. Fattah and F. Ren, "GA, MR, FFNN, PNN and GMM based models for automatic text summarization," Computer Speech & Language, vol. 23, no. 1, pp. 126-144, 2009.
    • (2009) Computer Speech & Language , vol.23 , Issue.1 , pp. 126-144
    • Fattah, M.1    Ren, F.2
  • 11
    • 0037408703 scopus 로고    scopus 로고
    • The diversity-based approach to open-domain text summarization
    • T. Nomoto and Y. Matsumoto, "The diversity-based approach to open-domain text summarization," Information Processing & Management, vol. 39, no. 3, pp. 363-389, 2003.
    • (2003) Information Processing & Management , vol.39 , Issue.3 , pp. 363-389
    • Nomoto, T.1    Matsumoto, Y.2
  • 15
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    • Erkan, G.1    Radev, D.R.2
  • 16
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  • 17
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.