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Volumn , Issue , 2007, Pages 52-55

Word topical mixture models for extractive spoken document summarization

Author keywords

[No Author keywords available]

Indexed keywords

CO-OCCURRENCE RELATIONSHIPS; CONVENTIONAL APPROACH; EXTRACTIVE SUMMARIZATIONS; LEARNING APPROACH; MODELING STRUCTURES; PERFORMANCE GAIN; PROTOTYPE SYSTEM; TOPICAL MIXTURE MODEL;

EID: 46449134158     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icme.2007.4284584     Document Type: Conference Paper
Times cited : (5)

References (17)
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  • 2
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  • 3
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    • October
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  • 4
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  • 5
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  • 8
    • 46449135315 scopus 로고    scopus 로고
    • S. Maskey, J. Hirschberg, Comparing Lexical, Acoustic/Prosodic, Structural and Discourse Features for Speech Summarization, in Proc. Eurospeech 2005.
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  • 9
    • 46449137177 scopus 로고    scopus 로고
    • Evaluation of Sentence Selection for Speech Summarization
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  • 10
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    • Y.T. Chen et al., Extractive Chinese Spoken Document Summarization Using Probabilistic Ranking Models, in Proc. ISCSLP 2006.
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    • ICASSP 2007
    • to appear in Proc
    • H.S. Chiu, B. Chen, "Word Topical Mixture Models for Dynamic Language Model Adaptation," to appear in Proc. ICASSP 2007.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.