An empirical evaluation of a statistical dialog system in public use

Proceedings of the SIGDIAL 2011 Conference: 12th Annual Meeting of the Special Interest Group on Discourse and Dialogue

Volumn , Issue , 2011, Pages 130-141

  Williams, Jason D ^a  

^a AT AND T LABS RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BUS ROUTE; CONVENTIONAL SYSTEMS; DIALOG SYSTEMS; EMPIRICAL EVALUATIONS; INTRINSIC PROPERTY; N-BEST LIST; PARAMETER SETTING; ROOT CAUSE; SINGLE-VALUE; SPEECH RECOGNIZER; STATISTICAL MODELS; STATISTICAL SYSTEMS; STATISTICAL TECHNIQUES;

SPEECH RECOGNITION;

STATISTICS;

EID: 84863260147     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

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3. J Henderson and O Lemon. 2008. Mixture model POMDPs for efficient handling of uncertainty in dialogue management. In Proc ACL-HLT, Columbus, Ohio.
4. G Parent and M Eskenazi. 2010. Toward better crowd-sourced transcription: Transcription of a year of the let's go bus information system data. In Proc SLT, Berkeley, CA.
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7. JD Williams and S Balakrishnan. 2009. Estimating probability of correctness for ASR N-best lists. In Proc SIGdial, London, UK.
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9. JD Williams, I Arizmendi, and A Conkie. 2010. Demonstration of AT&T "Let's Go": A production-grade statistical spoken dialog system. In Proc SLT, Berkeley, CA.
10. JD Williams. 2007. Using particle filters to track dialogue state. In Proc IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), Kyoto, Japan.
11. JD Williams, 2010a. AT&T Statistical Dialog Toolkit. http://www.research.att.com/people/Williams-Jason-D.
12. JD Williams. 2010b. Incremental partition recombination for efficient tracking of multiple dialog states. In Proc Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Dallas, USA.
13. SJ Young, M Gašić, S Keizer, F Mairesse, J Schatzmann, B Thomson, and K Yu. 2010. The hidden information state model: a practical framework for POMDP-based spoken dialogue management. Computer Speech and Language, 24(2):150-174, April.