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» A Bayesian Approach for User Modeling in Dialogue Systems
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SPEECH
2008
114views more  SPEECH 2008»
14 years 10 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
LREC
2010
140views Education» more  LREC 2010»
14 years 11 months ago
Wizard of Oz Experiments for a Companion Dialogue System: Eliciting Companionable Conversation
Within the EU-funded COMPANIONS project, we are working to evaluate new collaborative conversational models of dialogue. Such an evaluation requires us to benchmark approaches to ...
Nick Webb, David Benyon, Jay Bradley, Preben Hanse...
AI
2011
Springer
14 years 1 months ago
Learning Dialogue POMDP Models from Data
In this paper, we learn the components of dialogue POMDP models from data. In particular, we learn the states, observations, as well as transition and observation functions based o...
Hamid R. Chinaei, Brahim Chaib-draa
COLING
2000
14 years 11 months ago
Automatic Optimization of Dialogue Management
Designing the dialogue strategy of a spoken dialogue system involves many nontrivial choices. This paper presents a reinforcement learning approach for automatically optimizing di...
Diane J. Litman, Michael S. Kearns, Satinder P. Si...
CSL
2010
Springer
14 years 10 months ago
Evaluation of a hierarchical reinforcement learning spoken dialogue system
We describe an evaluation of spoken dialogue strategies designed using hierarchical reinforcement learning agents. The dialogue strategies were learnt in a simulated environment a...
Heriberto Cuayáhuitl, Steve Renals, Oliver ...