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43

SPEECH
2008

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A Reinforcement Learning approach to evaluating state representations in spoken dialogue systems

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A Reinforcement Learning approach to evaluating state representations in spoken dialogue systems

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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 methods, such as task completion rate or user satisfaction, capture different aspects of the end-to-end human

Joel R. Tetreault, Diane J. Litman

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Added	15 Dec 2010
Updated	15 Dec 2010
Type	Journal
Year	2008
Where	SPEECH
Authors	Joel R. Tetreault, Diane J. Litman

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