Planning and acting in partially observable stochastic domains
Artificial Intelligence
Planning and Acting under Uncertainty: A New Model for Spoken Dialogue System
UAI '01 Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence
An epsilon-Optimal Grid-Based Algorithm for Partially Observable Markov Decision Processes
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
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ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
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ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Partially observable Markov decision processes for spoken dialog systems
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HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
Agenda-based user simulation for bootstrapping a POMDP dialogue system
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Training and evaluation of the HIS POMDP dialogue system in noise
SIGdial '08 Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue
Point-based value iteration: an anytime algorithm for POMDPs
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
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IEEE Transactions on Audio, Speech, and Language Processing
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SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
k-nearest neighbor Monte-Carlo control algorithm for POMDP-based dialogue systems
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
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Knowledge-Based Systems
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ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
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IUNLPBEA '10 Proceedings of the NAACL HLT 2010 Fifth Workshop on Innovative Use of NLP for Building Educational Applications
INLG '10 Proceedings of the 6th International Natural Language Generation Conference
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TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
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SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Gaussian processes for fast policy optimisation of POMDP-based dialogue managers
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Representing uncertainty about complex user goals in statistical dialogue systems
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Dialogue act modeling in a complex task-oriented domain
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Effective handling of dialogue state in the hidden information state POMDP-based dialogue manager
ACM Transactions on Speech and Language Processing (TSLP)
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ACM Transactions on Speech and Language Processing (TSLP)
ACM Transactions on Speech and Language Processing (TSLP)
Reinforcement learning for parameter estimation in statistical spoken dialogue systems
Computer Speech and Language
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SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
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EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Learning automata-based approach to learn dialogue policies in large state space
International Journal of Intelligent Information and Database Systems
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ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
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Advances in Human-Computer Interaction
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SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications
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EACL '12 Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics
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EACL '12 Proceedings of the Student Research Workshop at the 13th Conference of the European Chapter of the Association for Computational Linguistics
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SDCTD '12 NAACL-HLT Workshop on Future Directions and Needs in the Spoken Dialog Community: Tools and Data
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EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
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SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Probabilistic dialogue models with prior domain knowledge
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ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on agent communication, trust in multiagent systems, intelligent tutoring and coaching systems
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IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
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This paper explains how Partially Observable Markov Decision Processes (POMDPs) can provide a principled mathematical framework for modelling the inherent uncertainty in spoken dialogue systems. It briefly summarises the basic mathematics and explains why exact optimisation is intractable. It then describes in some detail a form of approximation called the Hidden Information State model which does scale and which can be used to build practical systems. A prototype HIS system for the tourist information domain is evaluated and compared with a baseline MDP system using both user simulations and a live user trial. The results give strong support to the central contention that the POMDP-based framework is both a tractable and powerful approach to building more robust spoken dialogue systems.