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SIGDIAL
2010
14 years 7 months ago
Sparse Approximate Dynamic Programming for Dialog Management
Spoken dialogue management strategy optimization by means of Reinforcement Learning (RL) is now part of the state of the art. Yet, there is still a clear mismatch between the comp...
Senthilkumar Chandramohan, Matthieu Geist, Olivier...
73
Voted
ICASSP
2008
IEEE
15 years 4 months ago
Using dialogue acts to learn better repair strategies for spoken dialogue systems
Repair or error-recovery strategies are an important design issue in Spoken Dialogue Systems (SDSs) - how to conduct the dialogue when there is no progress (e.g. due to repeated A...
Matthew Frampton, Oliver Lemon
ACL
2003
14 years 11 months ago
A Machine Learning Approach to Pronoun Resolution in Spoken Dialogue
We apply a decision tree based approach to pronoun resolution in spoken dialogue. Our system deals with pronouns with NPand non-NP-antecedents. We present a set of features design...
Michael Strube, Christoph Müller
CSL
2010
Springer
14 years 9 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
91
Voted
CHI
1998
ACM
15 years 1 months ago
What can I say? Evaluating a Spoken Language Interface to Email
This paper presents experimental results comparing two different designs for a spoken language interface to email. We compare a mixed-initiative dialogue style, in which users can...
Marilyn A. Walker, Jeanne Fromer, Giuseppe Di Fabb...