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Building Dialogue Pomdps from Expert Dialogues: An End-To-End Approach 2016 Edition
Contributor(s): Chinaei, Hamidreza (Author), Chaib-Draa, Brahim (Author)
ISBN: 3319261983     ISBN-13: 9783319261980
Publisher: Springer
OUR PRICE:   $52.24  
Product Type: Paperback
Published: February 2016
Qty:
Additional Information
BISAC Categories:
- Technology & Engineering | Electronics - General
- Computers | User Interfaces
- Technology & Engineering | Telecommunications
Dewey: 005.437
Series: Springerbriefs in Speech Technology
Physical Information: 0.27" H x 6.14" W x 9.21" (0.42 lbs) 119 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

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.