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Volumn 3408, Issue , 2005, Pages 142-156

Automatic text summarization based on word-clusters and ranking algorithms

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATION THEORY; COMPUTER SCIENCE; DATABASE SYSTEMS; INFORMATION RETRIEVAL; INFORMATION TECHNOLOGY; LEARNING ALGORITHMS; LEARNING SYSTEMS; VECTORS; WORD PROCESSING;

EID: 24644461564     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-31865-1_11     Document Type: Conference Paper
Times cited : (33)

References (29)
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    • Knaus, D.1    Mittendorf, E.2    Shauble, P.3    Sheridan, P.4
  • 14
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    • Automatic creation of litterature abstracts
    • Luhn PH.: Automatic creation of litterature abstracts. IBM Journal, pp. 159-165 (1958).
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    • Sparck-Jones K.: Discourse modeling for automatic summarizing. Technical Report 29D, Computer Laboratory, university of Cambridge, (1993).
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    • Ranking and reranking with perceptron
    • Special Issue on Learning in Speech and Language Technologies
    • Shen, L., Joshi, A.K.: Ranking and Reranking with Perceptron. Machine Learning, Special Issue on Learning in Speech and Language Technologies (2004)
    • (2004) Machine Learning
    • Shen, L.1    Joshi, A.K.2
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    • http://www.itl.nist.gov/iaui/894.02/related_projects/tipster_summac/ cmp_lg.html
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    • Clustering criteria and multivariate normal mixture
    • Symons M.J.: Clustering Criteria and Multivariate Normal Mixture. Biometrics Vol. 37. 35-43 (1981).
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.