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Volumn , Issue , 2008, Pages 185-188

Using hidden markov models for topic segmentation of transcripts

Author keywords

Hidden markov model; LCSeg; Meeting transcript; Topic segmentation

Indexed keywords

BOUNDARY INFORMATION; HIDDEN STATE; LANGUAGE MODEL; LCSEG; LEXICAL CHAIN; MEETING TRANSCRIPT; SEGMENTATION PERFORMANCE; STOP WORD; TEXT SEGMENTS; TOPIC SEGMENTATION;

EID: 67649537443     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SLT.2008.4777871     Document Type: Conference Paper
Times cited : (23)

References (15)
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  • 2
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    • Integrating prosodic and lexical cues for automatic topic segmentation
    • DOI 10.1162/089120101300346796
    • Hakkani-Tur, D., Stolcke, A., Shriberg, E., and Tur, G., "Integrating Prosodic and Lexical Cues for Automatic Topic Segmentation", Computational Linguistics, 27, 31-57, 2001. (Pubitemid 33597441)
    • (2001) Computational Linguistics , vol.27 , Issue.1 , pp. 31-57
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  • 9
    • 84891308106 scopus 로고    scopus 로고
    • SRILM - An extensible language modeling toolkit
    • Stolcke, A., "SRILM - An Extensible Language Modeling Toolkit", In Proceedings of ICSLP, 2002.
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    • Stolcke, A.1
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    • A critique and improvement of an evaluation metric for text segmentation
    • Hearst, M.A. and Pevzner, L., "A Critique and Improvement of An Evaluation Metric for Text Segmentation", Computational Linguistics. 28, 19-36, 2002.
    • (2002) Computational Linguistics , vol.28 , pp. 19-36
    • Hearst, M.A.1    Pevzner, L.2
  • 14
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    • Statistical models of text segmentation
    • February
    • Beeferman, D., Berger, A. and Lafferty, J. "Statistical Models of Text Segmentation", Machine Learning, 34 (1-3), February 1999.
    • (1999) Machine Learning , vol.34 , Issue.1-3
    • Beeferman, D.1    Berger, A.2    Lafferty, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.