Using automatically transcribed dialogs to learn user models in a spoken dialog system

ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference

Volumn , Issue , 2008, Pages 121-124

  Syed, Umar ^a   Williams, Jason D ^b  

^a Princeton University   (United States)

^b AT AND T LABS RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EM ALGORITHMS; SPOKEN DIALOG SYSTEMS; TELEPHONE DIRECTORY; USER ACTION; USER MODELS; VOICE-CONTROLLED;

COMPUTATIONAL LINGUISTICS;

EID: 79959834356     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1557690.1557722     Document Type: Conference Paper

References (8)

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2. K Georgila, J Henderson, and O Lemon. 2006. User simulation for spoken dialogue systems: Learning and evaluation. In Proc ICSLP, Pittsburgh, USA.
3. E Levin, R Pieraccini, and W Eckert. 2000. A stochastic model of human-machine interaction for learning dialogue strategies. IEEE Trans on Speech and Audio Processing, 8(1):11.23.
4. O Pietquin. 2004. A framework for unsupervised learning of dialogue strategies. Ph.D. thesis, Faculty of Engineering, Mons (TCTS Lab), Belgium.
5. LR Rabiner, 1990. A tutorial on hidden Markov models and selected applications in speech recognition, pages 267-296. Morgan Kaufmann Publishers, Inc.
6. J Schatzmann, B Thomson, and SJ Young. 2007. Statistical user simulation with a hidden agenda. In Proc SIGDial, Antwerp, pages 273-282.
7. B Thomson, J Schatzmann, K Welhammer, H Ye, and SJ Young. 2007. Training a real-world POMDP-based dialog system. In Proc NAACL-HLT Workshop Bridging the Gap: Academic and Industrial Research in Dialog Technologies, Rochester, New York, USA, pages 9-17.
8. JD Williams and SJ Young. 2007. Partially observable Markov decision processes for spoken dialog systems. Computer Speech and Language, 21(2):393-422.