Deep neural network approach for the dialog state tracking challenge

SIGDIAL 2013 - 14th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Proceedings of the Conference

Volumn , Issue , 2013, Pages 467-471

  Henderson, Matthew ^a   Thomson, Blaise ^a   Young, Steve ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DEEP NEURAL NETWORKS; DIALOG SYSTEMS; MODEL PARAMETERS; SPEECH RESEARCH; STATE TRACKING; TRACKING APPROACHES; TRACKING TECHNIQUES; TRAINING DATA;

EID: 84987895197     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

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2. Dan Bohus and Alex Rudnicky. 2006. A Khypotheses+ Other Belief Updating Model. Proc. of the AAAI Workshop on Statistical and Empirical Methods in Spoken Dialogue Systems.
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7. Tim Paek and Eric Horvitz. 2000. Conversation as action under uncertainty. In The Sixteenth Conference on Uncertainty in Artificial Intelligence. Morgan Kaufmann.
8. Blaise Thomson and Steve Young. 2010. Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems. Computer Speech & Language.
9. Jason D. Williams, Antoine Raux, Deepak Ramachandran, and Alan W. Black. 2013. The Dialogue State Tracking Challenge. In SigDIAL.
10. Jason D. Williams. 2012a. A belief tracking challenge task for spoken dialog systems. In NAACL HLT 2012 Workshop on Future directions and needs in the Spoken Dialog Community: Tools and Data. Association for Computational Linguistics.
11. Jason D. Williams. 2012b. Challenges and opportunities for state tracking in statistical spoken dialog systems: Results from two public deployments. J. Sel. Topics Signal Processing, 6(8):959-970.
12. Steve Young, Milica Gašić, Simon Keizer, François Mairesse, Jost Schatzmann, Blaise Thomson, and Kai Yu. 2009. The Hidden Information State model: A practical framework for POMDP-based spoken dialogue management. Computer Speech & Language.