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Volumn , Issue , 2007, Pages 189-194

Spoken document summarization using relevant information

Author keywords

Extractive summarization; Hidden Markov model; Probabilistic generative model; Relevance model; Relevant document; Spoken document summarization

Indexed keywords

HIDDEN MARKOV MODELS; MARKOV PROCESSES; PARAMETER ESTIMATION; PROBABILITY; SPEECH; SPEECH ANALYSIS;

EID: 44849126739     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (20)
  • 1
    • 85032751176 scopus 로고    scopus 로고
    • Spoken Document Understanding and Organization
    • L. S. Lee and B. Chen, "Spoken Document Understanding and Organization," IEEE Signal Processing Magazine, 22(5), pp. 42-60, 2005.
    • (2005) IEEE Signal Processing Magazine , vol.22 , Issue.5 , pp. 42-60
    • Lee, L.S.1    Chen, B.2
  • 2
    • 0010012348 scopus 로고
    • Machine-Made Index for Technical Literature-An Experiment
    • October
    • P. B. Baxendale, "Machine-Made Index for Technical Literature-An Experiment," IBM Journal, pp. 354-361, October 1958.
    • (1958) IBM Journal , pp. 354-361
    • Baxendale, P.B.1
  • 3
    • 33646801246 scopus 로고    scopus 로고
    • Sentence Extraction-Based Presentation Summarization Techniques and Evaluation Metrics
    • M. Hirohata, Y. Shinnaka, K. Iwano, and S. Furui, "Sentence Extraction-Based Presentation Summarization Techniques and Evaluation Metrics," in Proc. ICASSP 2005.
    • Proc. ICASSP 2005
    • Hirohata, M.1    Shinnaka, Y.2    Iwano, K.3    Furui, S.4
  • 4
    • 27144436541 scopus 로고    scopus 로고
    • An Initial Study on Automatic Summarization of Chinese Spoken Documents
    • Master Thesis, National Taiwan University, July
    • Y. Ho, "An Initial Study on Automatic Summarization of Chinese Spoken Documents", Master Thesis, National Taiwan University, July 2003.
    • (2003)
    • Ho, Y.1
  • 5
    • 0034795521 scopus 로고    scopus 로고
    • Generic Text Summarization Using Relevance Measure and Latent Semantic Analysis
    • Y. Gong and X. Liu, "Generic Text Summarization Using Relevance Measure and Latent Semantic Analysis," in Proc. ACM SIGIR 2001.
    • Proc. ACM SIGIR 2001
    • Gong, Y.1    Liu, X.2
  • 7
  • 8
    • 34547507593 scopus 로고    scopus 로고
    • Comparing Lexical, Acoustic/Prosodic, Structural and Discourse Features for Speech Summarization
    • S. Maskey and J. Hirschberg, "Comparing Lexical, Acoustic/Prosodic, Structural and Discourse Features for Speech Summarization," in Proc. Eurospeech 2005.
    • Proc. Eurospeech 2005
    • Maskey, S.1    Hirschberg, J.2
  • 9
    • 46449137177 scopus 로고    scopus 로고
    • Evaluation of Sentence Selection for Speech Summarization
    • X. Zhu and G. Penn, "Evaluation of Sentence Selection for Speech Summarization," in Proc RANLP 2005.
    • Proc RANLP 2005
    • Zhu, X.1    Penn, G.2
  • 10
    • 67649554501 scopus 로고    scopus 로고
    • Speech Summarization Without Lexical Features for Mandarin Broadcast News
    • Jian Zhang and Pascale Fung, "Speech Summarization Without Lexical Features for Mandarin Broadcast News", Proceedings of NAACL HLT 2007, Companion Volume, pages 213-216.
    • Proceedings of NAACL HLT 2007, Companion Volume , pp. 213-216
    • Zhang, J.1    Fung, P.2
  • 11
    • 56149107139 scopus 로고    scopus 로고
    • Extractive Chinese Spoken Document Summarization Using Probabilistic Ranking Models
    • Y. T. Chen, S. Yu, H. M. Wang, and B. Chen, "Extractive Chinese Spoken Document Summarization Using Probabilistic Ranking Models," in Proc. ISCSLP 2006.
    • Proc. ISCSLP 2006
    • Chen, Y.T.1    Yu, S.2    Wang, H.M.3    Chen, B.4
  • 12
    • 33947708924 scopus 로고    scopus 로고
    • Chinese Spoken Document Summarization Using Probabilistic Latent Topical Information
    • B. Chen, Y. M. Yeh, Y. M. Huang, and Y. T. Chen, "Chinese Spoken Document Summarization Using Probabilistic Latent Topical Information," in Proc. ICASSP 2006.
    • Proc. ICASSP 2006
    • Chen, B.1    Yeh, Y.M.2    Huang, Y.M.3    Chen, Y.T.4
  • 13
    • 46449134158 scopus 로고    scopus 로고
    • Word Topical Mixture Models for Extractive Spoken Document Summarization
    • B. Chen and Y. T. Chen, "Word Topical Mixture Models for Extractive Spoken Document Summarization," in Proc ICME 2007.
    • Proc ICME 2007
    • Chen, B.1    Chen, Y.T.2
  • 15
    • 0030407491 scopus 로고    scopus 로고
    • Query Expansion Using Local and Global Document Analysis
    • J. Xu, and W. B. Croft, "Query Expansion Using Local and Global Document Analysis," in Proc. SIGIR 1996.
    • Proc. SIGIR 1996
    • Xu, J.1    Croft, W.B.2
  • 16
    • 3042705201 scopus 로고    scopus 로고
    • W. B. Croft, and J. Lafferty Eds, Kluwer-Academic Publishers
    • W. B. Croft, and J. Lafferty (Eds.). Language Modeling for Information Retrieval. Kluwer-Academic Publishers (2003)
    • (2003) Language Modeling for Information Retrieval
  • 17
    • 44849102562 scopus 로고    scopus 로고
    • Dirichlet Mixtures for Query Estimation in Information Retrieval,
    • Center for Intelligent Information Retrieval, University of Massachusetts
    • M. D. Smucker, D. Kulp, and J. Allan, "Dirichlet Mixtures for Query Estimation in Information Retrieval," CIIR Technical Report, Center for Intelligent Information Retrieval, University of Massachusetts (2005)
    • (2005) CIIR Technical Report
    • Smucker, M.D.1    Kulp, D.2    Allan, J.3
  • 18
    • 10044234199 scopus 로고    scopus 로고
    • A Discriminative HMM/N-Gram-Based Retrieval Approach for Mandarin Spoken Documents
    • B. Chen, H. M. Wang, and L. S. Lee, "A Discriminative HMM/N-Gram-Based Retrieval Approach for Mandarin Spoken Documents," ACM Transactions on Asian Language Information Processing, 3(2), pp. 128-145, 2004.
    • (2004) ACM Transactions on Asian Language Information Processing , vol.3 , Issue.2 , pp. 128-145
    • Chen, B.1    Wang, H.M.2    Lee, L.S.3
  • 19
    • 44849121494 scopus 로고    scopus 로고
    • Central News Agency CNA
    • Central News Agency (CNA) http://210.69.89.224/search/hypage.cgi?HYPAGE= login.htm


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.