Mining spoken dialogue corpora for system evaluation and modeling

Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing, EMNLP 2004 - A meeting of SIGDAT, a Special Interest Group of the ACL held in conjunction with ACL 2004

Volumn , Issue , 2004, Pages 134-141

  Bechet, Frederic ^a   Riccardi, Giuseppe ^b   Hakkani Tur, Dilek ^b  

^a UNIVERSITY OF AVIGNON   (France)

^b AT AND T LABS RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; COMPUTATIONAL LINGUISTICS; EQUIVALENCE CLASSES; MODELING LANGUAGES; NATURAL LANGUAGE PROCESSING SYSTEMS;

DIALOGUE SYSTEMS; HUMAN-MACHINE DIALOGUE; LANGUAGE MODEL; LANGUAGE UNDERSTANDING; MULTI-DIMENSIONAL ANALYSIS; SIMILAR PATTERN; SPOKEN DIALOGUE; SPOKEN LANGUAGES; SYSTEM EVALUATION; SYSTEM MODELS;

SPEECH RECOGNITION;

EID: 85117174215     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Frederic Bechet, Giuseppe Riccardi, and Dilek Hakkani-Tur. 2003. Multi-channel sentence classification for spoken dialogue language modeling. In Proceedings of Eurospeech'03, Geneve, Switzerland.
2. Yannick Esteve, Frederic Bechet, Alexis Nasr, and Renato De Mori. 2001. Stochastic finite state automata language model triggered by dialogue states. In Proceedings of Eurospeech'01, volume 1, pages 725-728, Aalborg, Danemark.
3. A.L. Gorin, G. Riccardi, and J.H. Wright. 1997. How May I Help You? Speech Communication, 23:113-127.
4. Helen Wright Hastie, Rashmi Prasad, and Marilyn A. Walker. 2002. What's the trouble: Automatically identifying problematic dialogs in darpa communicator dialog systems. In Proceedings of the Association of Computational Linguistics Meeting, Philadelphia, USA.
5. Candace Kamm, Marilyn A. Walker, and Diane Litman. 1999. Evaluating spoken language systems. In Proceedings of American Voice Input/Output Society AVIOS.
6. R. Kuhn and R. De Mori. 1995. The application of semantic classification trees to natural language understanding. IEEE Trans. on Pattern Analysis and Machine Intelligence, 17(449-460).