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Volumn , Issue , 2012, Pages 553-557

How text segmentation algorithms gain from topic models

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

EID: 84923303927     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (25)

References (16)
  • 1
    • 0032674505 scopus 로고    scopus 로고
    • Statistical models for text segmentation
    • Doug Beeferman, Adam Berger, and John Lafferty. 1999. Statistical models for text segmentation. Machine learning, 34(1):177-210.
    • (1999) Machine Learning , vol.34 , Issue.1 , pp. 177-210
    • Beeferman, D.1    Berger, A.2    Lafferty, J.3
  • 10
    • 85174477390 scopus 로고    scopus 로고
    • Automatic segmentation of multiparty dialogue
    • P.-Y. Hsueh, J. D. Moore, and S. Renals. 2006. Automatic segmentation of multiparty dialogue. AMI-156.
    • (2006) AMI-156
    • Hsueh, P.-Y.1    Moore, J.D.2    Renals, S.3
  • 12
    • 0037870455 scopus 로고    scopus 로고
    • A critique and improvement of an evaluation metric for text segmentation
    • Lev Pevzner and Marti A. Hearst. 2002. A critique and improvement of an evaluation metric for text segmentation. Computational Linguistic, 28(1):19-36.
    • (2002) Computational Linguistic , vol.28 , Issue.1 , pp. 19-36
    • Pevzner, L.1    Hearst, M.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.