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Building Dialogue Pomdps from Expert Dialogues (Paperback) (Hamidreza Chinaei)

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This book discusses the Partially Observable Markov Decision Process (POMDP) framework applied in dialogue systems. It presents POMDP as a formal framework to represent uncertainty explicitly while supporting automated policy solving. The authors propose and implement an end-to-end learning approach for dialogue POMDP model components. Starting from scratch, they present the state, the transition model, the observation model and then finally the reward model from unannotated and noisy dialogues. These altogether form a significant set of contributions that can potentially inspire substantial further work. This concise manuscript is written in a simple language, full of illustrative examples, figures, and tables.

Genre: Technology, Computers + Internet
Sub-Genre: User Interfaces, Electronics / General, Telecommunications
Series Title: Springerbriefs in Speech Technology
Format: Paperback
Publisher: Springer Verlag
Author: Hamidreza Chinaei
Language: English
Street Date: February 16, 2016
TCIN: 51017814
UPC: 9783319261980
Item Number (DPCI): 248-14-4535
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