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Volumn 2, Issue , 2007, Pages 448-455

Extraction-based single-document summarization using random indexing

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CYBERNETICS; INDEXING (OF INFORMATION); INFORMATION THEORY; RANDOM PROCESSES; RAPID THERMAL ANNEALING; SEMANTICS;

EID: 48649097741     PISSN: 10823409     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICTAI.2007.28     Document Type: Conference Paper
Times cited : (34)

References (27)
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  • 2
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    • Summarizing text documents:sentence selection and evaluation metrics
    • Jade Goldstein, Mark Kantrowitz, Vibhu Mittal, and Jaime Carbonell, "Summarizing text documents:sentence selection and evaluation metrics", ACM SIGIR, 1999, pp 121-128.
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  • 4
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    • The use of MMR, diversity-based reranking for reordering documents and producing summaries
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    • Zha Hongyuan, "Generic Summarization and Key phrase Extraction Using Mutual Reinforcement Principle and Sentence Clustering", ACM, 2002.
  • 6
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    • Conroy, J.1    Dianne, L.2
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    • Pollock, J.1    Zamora, A.2
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    • M.Tech Thesis, Indian Institute of Technology Delhi
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    • (2007)
    • Yadav, N.1
  • 11
    • 0034795521 scopus 로고    scopus 로고
    • Generic text summarization using relevance measure and latent semantic analysis
    • Yihong Gong and Xin Liu, "Generic text summarization using relevance measure and latent semantic analysis", SIGIR,ACM, 2001, pp 19-25.
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  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.