A TextTiling based approach to topic boundary detection in meetings

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn 1, Issue , 2006, Pages 57-60

  Banerjee, Satanjeev ^a   Rudnicky, Alexander I ^a  

^a Carnegie Mellon University   (United States)

Author keywords

Meeting understanding; Spoken language understanding; Topic detection and segmentation

Indexed keywords

IMAGE SEGMENTATION;

BOUNDARY DETECTION; COMPUTING PRECISION; F MEASURE; MEETING UNDERSTANDING; SPOKEN LANGUAGE UNDERSTANDING; TEXTTILING; TOPIC DETECTION;

SPEECH RECOGNITION;

EID: 44949112191     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. M. Hearst, "TextTiling: Segmenting text into multi-paragraph subtopic passages," Computational Linguistics, vol. 23, no. 1, pp. 33-64, 1997.
2. D. Beeferman, A. Berger, and J. Lafferty, "Statistical models for text segmentation," Machine Learning, vol. 34, no. 1-3, pp. 177-210, 1999.
3. Regina Barzilay and Lillian Lee, "Catching the drift: Probabilistic content models, with applications to generation and summarization," in HLT-NAACL 2004: Proceedings of the Main Conference, 2004, pp. 113-120.
4. M. Galley, K. McKeown, E. Fosler-Lussier, and Hongyan Jing, "Discourse segmentation of multi-party conversation," in Proceedings of the 41st Annual Meeting on Association for Computational Linguistics, Sapporo, Japan, 2003, vol. 1, pp. 562-569.
5. S. Banerjee, C. Rose, and A. I. Rudnicky, "The necessity of a meeting recording and playback system, and the benefit of topic-level annotations to meeting browsing," in Proceedings of the Tenth International Conference on Human-Computer Interaction, Rome, Italy, September 2005.