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SPEECH
2008
114views more  SPEECH 2008»
13 years 4 months ago
A Reinforcement Learning approach to evaluating state representations in spoken dialogue systems
Although dialogue systems have been an area of research for decades, finding accurate ways of evaluating different systems is still a very active subfield since many leading metho...
Joel R. Tetreault, Diane J. Litman
EACL
2006
ACL Anthology
13 years 6 months ago
Using Reinforcement Learning to Build a Better Model of Dialogue State
Given the growing complexity of tasks that spoken dialogue systems are trying to handle, Reinforcement Learning (RL) has been increasingly used as a way of automatically learning ...
Joel R. Tetreault, Diane J. Litman
SIGDIAL
2010
13 years 2 months ago
Modeling Spoken Decision Making Dialogue and Optimization of its Dialogue Strategy
This paper presents a spoken dialogue framework that helps users in making decisions. Users often do not have a definite goal or criteria for selecting from a list of alternatives...
Teruhisa Misu, Komei Sugiura, Kiyonori Ohtake, Chi...
JAIR
2002
99views more  JAIR 2002»
13 years 4 months ago
Optimizing Dialogue Management with Reinforcement Learning: Experiments with the NJFun System
Designing the dialogue policy of a spoken dialogue system involves many nontrivial choices. This paper presents a reinforcement learning approach for automatically optimizing a di...
Satinder P. Singh, Diane J. Litman, Michael J. Kea...
CSL
2010
Springer
13 years 4 months ago
Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems
This paper describes a statistically motivated framework for performing real-time dialogue state updates and policy learning in a spoken dialogue system. The framework is based on...
Blaise Thomson, Steve Young