Topic segmentation using Markov models on section level

2003 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2003

Volumn , Issue , 2003, Pages 471-476

  Matusov, Evgeny ^a,b   Peters, Jochen ^a   Meyer, Carsten ^a   Ney, Hermann ^b  

^a PHILIPS RESEARCH LABORATORIES   (Germany)

^b RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

MARKOV PROCESSES;

ADDITIONAL KNOWLEDGE; DOCUMENT SEGMENTATION; DOCUMENT STRUCTURE; INDIVIDUAL SECTIONS; STATE-OF-THE-ART APPROACH; THEORETICAL POINTS; TOPIC IDENTIFICATION; TOPIC SEGMENTATIONS;

SPEECH RECOGNITION;

EID: 84859893542     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASRU.2003.1318486     Document Type: Conference Paper

References (5)

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2. D.Beeferman, A. Berger, and J. Lafferty, "Statistical Models for Text Segmentation," Machine Learning, vol. 34, pp. 1-34, 1999.
3. S. Dharanipragada, M. Franz, J. S. McCarley, S. Roukos, and T. Ward, "Story Segmentation and Topic Detection in The Broadcast News Domain," in Proc. of the DARPA Broadcast News Workshop, 1999.
4. G. Tür, D. Hakkani-Tür, A. Stolcke, and E. Shriberg, "Integrating Prosodic and Lexical Cues for Automatic Topic Segmentation," Computational Linguistics, vol. 27(1), pp. 31-57, 2001.
5. J. P.Yamron, I. Carp., L. Gillick, S. Lowe, and P. van Mulbregt, "A Hidden Markov Model Approach to Text Segmentation and Event Tracking," in Proc. ICASSP-98 Seattle, WA, USA, Vol. I, pp. 333-336, 1998.