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Volumn 1, Issue , 2006, Pages 17-24

Unsupervised topic modelling for multi-party spoken discourse

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; COMPUTATIONAL LINGUISTICS; IMAGE SEGMENTATION; INFERENCE ENGINES; INFORMATION RETRIEVAL SYSTEMS; SPEECH RECOGNITION;

EID: 84860524978     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1220175.1220178     Document Type: Conference Paper
Times cited : (117)

References (19)
  • 3
    • 85029434098 scopus 로고    scopus 로고
    • Catching the drift: Probabilistic content models, with applications to generation and summarization
    • Regina Barzilay and Lillian Lee. 2004. Catching the drift: Probabilistic content models, with applications to generation and summarization. In HLT-NAACL 2004: Proceedings of the Main Conference, pages 113-120.
    • (2004) HLT-NAACL 2004: Proceedings of the Main Conference , pp. 113-120
    • Barzilay, R.1    Lee, L.2
  • 4
    • 0032674505 scopus 로고    scopus 로고
    • Statistical models for text segmentation
    • Doug Beeferman, Adam Berger, and John D. Lafferty. 1999. Statistical models for text segmentation. Machine Learning, 34(1-3):177-210.
    • (1999) Machine Learning , vol.34 , Issue.1-3 , pp. 177-210
    • Beeferman, D.1    Berger, A.2    Lafferty, J.D.3
  • 16
    • 79951784751 scopus 로고    scopus 로고
    • Automatic summarization of broadcast news using structural features
    • Geneva, Switzerland
    • Sameer R. Maskey and Julia Hirschberg. 2003. Automatic summarization of broadcast news using structural features. In Eurospeech 2003, Geneva, Switzerland.
    • (2003) Eurospeech 2003
    • Maskey, S.R.1    Hirschberg, J.2
  • 17
    • 0037870455 scopus 로고    scopus 로고
    • A critique and improvement of an evaluation metric for text segmentation
    • Lev Pevzner and Marti Hearst. 2002. A critique and improvement of an evaluation metric for text segmentation. Computational Linguistics, 28(1):19-36.
    • (2002) Computational Linguistics , vol.28 , Issue.1 , pp. 19-36
    • Pevzner, L.1    Hearst, M.2
  • 18


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.