Unsupervised topic discovery applied to segmentation of news transcriptions

EUROSPEECH 2003 - 8th European Conference on Speech Communication and Technology

Volumn , Issue , 2003, Pages 2833-2836

  Sista, Sreenivasa ^a   Srivastava, Amit ^a   Kubala, Francis ^a   Schwartz, Richard ^a  

^a BBN TECHNOLOGIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO SYSTEMS; SPEECH COMMUNICATION; SPEECH RECOGNITION; TRANSCRIPTION;

AUTOMATIC SPEECH RECOGNITION SYSTEM; BROADCAST NEWS; LARGE CORPORA; NEWS TRANSCRIPTIONS; STORY SEGMENTATION; TOPIC DISCOVERY;

DATA MINING;

EID: 85009225107     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. S. Sista, R. Schwartz, T. R. Leek, and J. Makhoul, "An Algorithm for Unsupervised Topic Discovery from Broadcast News Stories," Human Language Technology Conference, pp. 99-103, 2002.
2. R. Schwartz, T. Imai, F. Kubala, L. Nguyen, and J. Makhoul, "A Maximum Likelihood Model for Topic Classification of Broadcast News," Eurospeech-97, Greece, 1997.
3. A. Srivastava, Story Segmentation in Audio Indexing, M.S. Thesis, Northeastern University, Boston, 1999.
4. M. A. Hearst, "Multi-paragraph Segmentation of Expository Text," Proceedings of the ACL, 1994.
5. Jonathan P. Yamron, "Topic Detection and Tracking Segmentation Task," Proceedings of the Topic Detection and Tracking Workshop, 1997.