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Volumn , Issue , 2009, Pages

Multi-document summarization using clustering algorithm

Author keywords

Cluster algorithm; Multi document summarization; Sentence similarity

Indexed keywords

CLUSTER ALGORITHM; CLUSTER ALGORITHMS; MULTI-DOCUMENT SUMMARIZATION; SENTENCE SIMILARITY;

EID: 70349549920     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IWISA.2009.5072965     Document Type: Conference Paper
Times cited : (4)

References (8)
  • 4
    • 3543147086 scopus 로고
    • Recent trends in hierarchical document clustering: A critical review
    • P.Willett, Recent trends in hierarchical document clustering: a critical review, Information processing and management, 24: 577-97, 1988.
    • (1988) Information processing and management , vol.24 , pp. 577-597
    • Willett, P.1
  • 7
    • 0032270694 scopus 로고    scopus 로고
    • The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries
    • Melbourne, Australia
    • J. Carbonell and J. Goldstein.1998. The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries. In Proceedings of SIGIR'98. Melbourne, Australia, 1998.
    • (1998) Proceedings of SIGIR'98
    • Carbonell, J.1    Goldstein, J.2
  • 8
    • 70349547635 scopus 로고    scopus 로고
    • Shiren Ye, Long Qiu, Tat-Seng Chua and Min-Yen Kan.2005. NUS at DUC 2005: Understanding Documents via Concept Links. In Proceedings of DUC2005.
    • Shiren Ye, Long Qiu, Tat-Seng Chua and Min-Yen Kan.2005. NUS at DUC 2005: Understanding Documents via Concept Links. In Proceedings of DUC2005.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.