The role of frame-based representation in reasoning
Communications of the ACM
Stochastically-Based Semantic Analysis
Stochastically-Based Semantic Analysis
Conversation as Action Under Uncertainty
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Usability issues in spoken dialogue systems
Natural Language Engineering
Spoken dialogue management using probabilistic reasoning
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Comparing several aspects of human-computer and human-human dialogues
SIGDIAL '01 Proceedings of the Second SIGdial Workshop on Discourse and Dialogue - Volume 16
The Knowledge Engineering Review
Partially observable Markov decision processes for spoken dialog systems
Computer Speech and Language
Probabilistic simulation of human-machine dialogues
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Automatic learning of dialogue strategy using dialogue simulation and reinforcement learning
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Agenda-based user simulation for bootstrapping a POMDP dialogue system
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
A probabilistic framework for dialog simulation and optimal strategy learning
IEEE Transactions on Audio, Speech, and Language Processing
An Online Algorithm for Applying Reinforcement Learning to Handle Ambiguity in Spoken Dialogues
TAMC '09 Proceedings of the 6th Annual Conference on Theory and Applications of Models of Computation
Context-Aware Approach for Orally Accessible Web Services
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
A comparison between dialog corpora acquired with real and simulated users
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Hybrid approach to robust dialog management using agenda and dialog examples
Computer Speech and Language
A methodology for learning optimal dialog strategies
TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
Statistical dialog management methodologies for real applications
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Human-machine corpus analysis for generation and interaction with spoken dialog systems
KI'11 Proceedings of the 34th Annual German conference on Advances in artificial intelligence
Modeling internet as a user-adapted speech service
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Journal of Ambient Intelligence and Smart Environments - A software engineering perspective on smart applications for AmI
Modeling spoken dialog systems under the interactive pattern recognition framework
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Bringing context-aware access to the web through spoken interaction
Applied Intelligence
A domain-independent statistical methodology for dialog management in spoken dialog systems
Computer Speech and Language
Providing personalized Internet services by means of context-aware spoken dialogue systems
Journal of Ambient Intelligence and Smart Environments - Context Awareness
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In this paper, we present a statistical approach for the development of a dialog manager and for learning optimal dialog strategies. This methodology is based on a classification procedure that considers all of the previous history of the dialog to select the next system answer. To evaluate the performance of the dialog system, the statistical approach for dialog management has been extended to model the user behavior. The statistical user simulator has been used for the evaluation and improvement of the dialog strategy. Both the user model and the system model are automatically learned from a training corpus that is labeled in terms of dialog acts. New measures have been defined to evaluate the performance of the dialog system. Using these measures, we evaluate both the quality of the simulated dialogs and the improvement of the new dialog strategy that is obtained with the interaction of the two modules. This methodology has been applied to develop a dialog manager within the framework of the DIHANA project, whose goal is the design and development of a dialog system to access a railway information system using spontaneous speech in Spanish. We propose the use of corpus-based methodologies to develop the main modules in the dialog system.