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Data-driven methods for adaptive spoken dialogue systems : computational learning for conversational interfaces

Author: Oliver Lemon; Olivier Pietquin
Publisher: New York : Springer Science+Business Media, ©2012.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
The EC FP7 project "Computational Learning in Adaptive Systems for Spoken Conversation" (CLASSiC) was a European initiative working on a fully data-driven architecture for the development of conversational interfaces, as well as new machine learning approaches for their sub-components. It developed a variety of novel statistical methods for spoken dialogue processing, for extended conversational interaction, which  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Data-driven methods for adaptive spoken dialogue systems.
New York : Springer Science+Business Media, ©2012
(DLC) 2012946737
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Oliver Lemon; Olivier Pietquin
ISBN: 9781461448037 1461448034 1461448026 9781461448020
OCLC Number: 818827916
Description: 1 online resource (ix, 177 pages)
Contents: Conversational Interfaces / Oliver Lemon --
Developing Dialogue Managers from Limited Amounts of Data / Verena Rieser, Oliver Lemon --
Data-Driven Methods for Spoken Language Understanding / James Henderson, Filip Jurčíček --
User Simulation in the Development of Statistical Spoken Dialogue Systems / Simon Keizer, Stéphane Rossignol --
Optimisation for POMDP-Based Spoken Dialogue Systems / Milica Gašić, Filip Jurčíček, Blaise Thomson --
Statistical Approaches to Adaptive Natural Language Generation / Oliver Lemon, Srini Janarthanam --
Metrics and Evaluation of Spoken Dialogue Systems / Helen Hastie --
Data-Driven Methods in Industrial Spoken Dialog Systems / Roberto Pieraccini, David Suendermann --
Conclusion and Future Research Directions / Olivier Pietquin.
Responsibility: Oliver Lemon, Olivier Pietquin, editors.

Abstract:

Based on dialogue systems freely available for academic use, this book covers state-of-the-art research in data-driven, machine-learning approaches to developing spoken conversational interfaces,  Read more...

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