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Volumn 20, Issue 1, 2012, Pages 55-66

Topic-Based Hierarchical Segmentation

Author keywords

Hierarchical model; natural language; text segmentation; topic model; variational Bayes

Indexed keywords


EID: 85008583707     PISSN: 15587916     EISSN: 15587924     Source Type: Journal    
DOI: 10.1109/TASL.2011.2143405     Document Type: Article
Times cited : (30)

References (20)
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  • 2
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    • Latent Dirichlet allocation
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    • Blei, D.M.1    Ng, A.Y.2    Jordan, M.I.3
  • 4
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    • Topic-based document segmentation with probabilistic latent semantic analysis
    • T. Brants, F. Chen, and I. Tsochantaridis, “Topic-based document segmentation with probabilistic latent semantic analysis,” in Proc. Int. Conf. Inf. Knowl. Manage., 2002, pp. 211–218.
    • (2002) Proc. Int. Conf. Inf. Knowl. Manage. , pp. 211-218
    • Brants, T.1    Chen, F.2    Tsochantaridis, I.3
  • 5
    • 85009062638 scopus 로고    scopus 로고
    • Improved spoken document retrieval by exploring acoustic and linguistic cues
    • B. Chen, H. -M. Wang, and L. -S. Lee, “Improved spoken document retrieval by exploring acoustic and linguistic cues,” in Proc. Eur. Conf. Speech Commun. Technol., 2001, pp. 299–302.
    • (2001) Proc. Eur. Conf. Speech Commun. Technol. , pp. 299-302
    • Chen, B.1    Wang, H.-M.2    Lee, L.-S.3
  • 6
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    • Dirichlet class language models for speech recognition
    • Mar.
    • J. -T. Chien and C. -H. Chueh, “Dirichlet class language models for speech recognition,” IEEE Trans. Audio, Speech, Lang. Process., vol. 19, no. 3, pp. 482–495, Mar. 2011.
    • (2011) IEEE Trans. Audio, Speech, Lang. Process. , vol.19 , Issue.3 , pp. 482-495
    • Chien, J.-T.1    Chueh, C.-H.2
  • 8
    • 79851476812 scopus 로고    scopus 로고
    • Segmented topic model for text classification and speech recognition
    • [Online]. Available: http://umiacs.umd.edu/∼jbg/nips_tm_workshop77.pdf
    • C. -H. Chueh and J. -T. Chien, “Segmented topic model for text classification and speech recognition,” in Proc. NIPS Workshop Applications for Topic Models: Text and Beyond, 2009 [Online]. Available: http://umiacs.umd.edu/∼jbg/nips_tm_workshop77.pdf.
    • (2009) Proc. NIPS Workshop Applications for Topic Models: Text and Beyond
    • Chueh, C.-H.1    Chien, J.-T.2
  • 12
    • 0001819680 scopus 로고    scopus 로고
    • TextTiling: Segmenting text into multi-paragraph subtopicpassages
    • M. A. Hearst, “TextTiling: Segmenting text into multi-paragraph subtopicpassages,” Comput. Linguist., vol. 23, no. 1, pp. 33–64, 1997.
    • (1997) Comput. Linguist. , vol.23 , Issue.1 , pp. 33-64
    • Hearst, M.A.1
  • 13
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    • Probabilistic latent semantic indexing
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  • 15
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    • An HMM-based segmentation method using variational Bayes approach and its application to LVCSRforbroadcast news
    • T. Koshinaka, K. Iso, and A. Okumura, “An HMM-based segmentation method using variational Bayes approach and its application to LVCSRforbroadcast news,” in Proc. Int. Conf. Acoust., Speech, Signal Process., 2005, pp. 485–488.
    • (2005) Proc. Int. Conf. Acoust., Speech, Signal Process. , pp. 485-488
    • Koshinaka, T.1    Iso, K.2    Okumura, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.