COLLAGEN: A Collaboration Manager for Software Interface Agents
User Modeling and User-Adapted Interaction
Conversation as Action Under Uncertainty
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Corpus-based discourse understanding in spoken dialogue systems
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Machine Learning
Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems
Computer Speech and Language
Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
SPOOK: a system for probabilistic object-oriented knowledge representation
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Efficient enumeration of instantiations in Bayesian networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
A belief tracking challenge task for spoken dialog systems
SDCTD '12 NAACL-HLT Workshop on Future Directions and Needs in the Spoken Dialog Community: Tools and Data
Landmark-based location belief tracking in a spoken dialog system
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
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We introduce a novel approach for robust belief tracking of user intention within a spoken dialog system. The space of user intentions is modeled by a probabilistic extension of the underlying domain ontology called a probabilistic ontology tree (POT). POTs embody a principled approach to leverage the dependencies among domain concepts and incorporate corroborating or conflicting dialog observations in the form of interpreted user utterances across dialog turns. We tailor standard inference algorithms to the POT framework to efficiently compute the user intentions in terms of m-best most probable explanations. We empirically validate the efficacy of our POT and compare it to a hierarchical frame-based approach in experiments with users of a tourism information system.