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Volumn , Issue , 2009, Pages 145-150

Swarm Based Text Summarization

Author keywords

Particle swarm optimization; Sentence score; Similarity; Summarization; Text feature

Indexed keywords

LOW QUALITIES; MS-WORD; SELECTION PROCESS; SENTENCE SCORE; SIMILARITY; SUMMARIZATION; SWARM INTELLIGENCE; TEXT FEATURE; TEXT SUMMARIZATION;

EID: 67650012590     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IACSIT-SC.2009.61     Document Type: Conference Paper
Times cited : (51)

References (19)
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    • GA, MR, FFNN, PNN and GMM based models for automatic text summarization
    • M. A. Fattah, and F. Ren, "GA, MR, FFNN, PNN and GMM based models for automatic text summarization". Computer Speech and Language. 2008. 23(1), 126-144.
    • (2008) Computer Speech and Language , vol.23 , Issue.1 , pp. 126-144
    • Fattah, M.A.1    Ren, F.2
  • 10
    • 48349100720 scopus 로고    scopus 로고
    • Content extraction from news pages using particle swarm optimization on linguistic and structural features
    • 2-5 November. Silicon Valley, USA
    • C. Ziegler, and M. Skubacz, "Content extraction from news pages using particle swarm optimization on linguistic and structural features". IEEE/WIC/ACM International Conference on Web Intelligence. 2-5 November 2007. Silicon Valley, USA, 242-249.
    • (2007) IEEE/WIC/ACM International Conference on Web Intelligence , pp. 242-249
    • Ziegler, C.1    Skubacz, M.2
  • 12
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    • Document clustering using particle swarm optimization
    • 8-10 June. Pasadena, California
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    • Cui, X.1    Potok, T.E.2    Palathingal, P.3
  • 15
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    • Particle swarm optimization: Developments, applications and resources
    • 27-30 May 2001. Seoul, Korea: IEEE
    • R. C. Eberhart, and Y. Shi, "Particle swarm optimization: Developments, applications and resources". Proceedings of the 2001 Congress on Evolutionary Computation. 27-30 May 2001. Seoul, Korea: IEEE, PP. 81-86.
    • Proceedings of the 2001 Congress on Evolutionary Computation , pp. 81-86
    • Eberhart, R.C.1    Shi, Y.2
  • 18
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    • The Document Understanding Conference (DUC)
    • The Document Understanding Conference (DUC). http://duc.nist.gov.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.