Abstract
The past decade has seen something of a revolution in the field of spoken dialogue systems. As in other areas of Computer Science and Artificial Intelligence, datadriven methods are being used to drive new methodologies for system development and evaluation. These methods are proving to be more robust, flexible, and adaptive than the rule-based approaches which preceded them.
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© 2011 Springer-Verlag Berlin Heidelberg
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Rieser, V., Lemon, O. (2011). Introduction. In: Reinforcement Learning for Adaptive Dialogue Systems. Theory and Applications of Natural Language Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24942-6_1
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DOI: https://doi.org/10.1007/978-3-642-24942-6_1
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Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-642-24942-6
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