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Volumn , Issue , 2010, Pages 2522-2525

Semi-supervised extractive speech summarization via co-training algorithm

Author keywords

Co training; Extractive meeting summarization; Semi supervised learning

Indexed keywords

SEMI-SUPERVISED LEARNING; SPEECH; SPEECH COMMUNICATION;

EID: 79959855910     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (16)
  • 2
    • 80053378624 scopus 로고    scopus 로고
    • A skip-chain conditional random field for ranking meeting utterances by importance
    • M. Galley, "A skip-chain conditional random field for ranking meeting utterances by importance," in Proc. of EMNLP, 2006.
    • (2006) Proc. of EMNLP
    • Galley, M.1
  • 3
    • 77949382114 scopus 로고    scopus 로고
    • Automatic summarization of meeting data: A feasibility study
    • A. H. Buist, W. Kraaij, and S. Raaijmakers, "Automatic summarization of meeting data: A feasibility study," in Proc. of CLIN, 2005.
    • (2005) Proc. of CLIN
    • Buist, A.H.1    Kraaij, W.2    Raaijmakers, S.3
  • 4
    • 67649515624 scopus 로고    scopus 로고
    • Evaluating the effectiveness of features and sampling in extractive meeting summarization
    • S. Xie, Y. Liu, and H. Lin, "Evaluating the effectiveness of features and sampling in extractive meeting summarization," in Proc. of IEEE Spoken Language Technology (SLT), 2008.
    • (2008) Proc. of IEEE Spoken Language Technology (SLT)
    • Xie, S.1    Liu, Y.2    Lin, H.3
  • 5
    • 84859913704 scopus 로고    scopus 로고
    • Word sense disambiguation using labeled propagation based semi-supervised learning
    • Z.-Y. Niu, D.-H. Ji, and C.-L. Tan, "Word sense disambiguation using labeled propagation based semi-supervised learning," in Proc. of ACL, 2005.
    • (2005) Proc. of ACL
    • Niu, Z.-Y.1    Ji, D.-H.2    Tan, C.-L.3
  • 6
    • 79959814509 scopus 로고    scopus 로고
    • Using semi-supervised learning for question classification
    • N. T. Tri, N. M. Le, and A. Shimazu, "Using semi-supervised learning for question classification," in Proc. of ICCPOL, 2006.
    • (2006) Proc. of ICCPOL
    • Tri, N.T.1    Le, N.M.2    Shimazu, A.3
  • 8
    • 79959836312 scopus 로고    scopus 로고
    • Semi-supervised learning for automatic prosodic event detection using co-training algorithm
    • J. H. Jeon and Y. Liu, "Semi-supervised learning for automatic prosodic event detection using co-training algorithm," in Proc. of ACL-IJCNLP, 2009.
    • (2009) Proc. of ACL-IJCNLP
    • Jeon, J.H.1    Liu, Y.2
  • 9
    • 84859091814 scopus 로고    scopus 로고
    • Extractive summarization using supervised and semi-supervised learning
    • K.-F. Wong, M. Wu, and W. Li, "Extractive summarization using supervised and semi-supervised learning," in Proc. of ACL, 2008.
    • (2008) Proc. of ACL
    • Wong, K.-F.1    Wu, M.2    Li, W.3
  • 10
    • 84863278742 scopus 로고    scopus 로고
    • Active learning of extractive reference summaries for lecture speech summarization
    • J. J. Zhang and P. Fung, "Active learning of extractive reference summaries for lecture speech summarization," in Proc. of ACL-IJCNLP, 2009.
    • (2009) Proc. of ACL-IJCNLP
    • Zhang, J.J.1    Fung, P.2
  • 12
    • 77949404777 scopus 로고    scopus 로고
    • Integrating prosodic features in extractive meeting summarization
    • S. Xie, D. Hakkani-Tur, B. Favre, and Y. Liu, "Integrating prosodic features in extractive meeting summarization," in Proceedings of ASRU, 2009.
    • (2009) Proceedings of ASRU
    • Xie, S.1    Hakkani-Tur, D.2    Favre, B.3    Liu, Y.4
  • 16
    • 84867215267 scopus 로고    scopus 로고
    • P. Boersma and D. Weenink, "Praat: doing phonetics by computer," http://www.praat.org/, 2006.
    • (2006)
    • Boersma, P.1    Weenink, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.