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portada Building Dialogue Pomdps From Expert Dialogues: An End-To-End Approach (Springerbriefs in Speech Technology)
Type
Physical Book
Publisher
Year
2016
Language
English
Pages
128
Format
Paperback
ISBN13
9783319261980
Edition No.
1

Building Dialogue Pomdps From Expert Dialogues: An End-To-End Approach (Springerbriefs in Speech Technology)

Hamidreza Chinaei; Brahim Chaib-Draa (Author) · Springer · Paperback

Building Dialogue Pomdps From Expert Dialogues: An End-To-End Approach (Springerbriefs in Speech Technology) - Hamidreza Chinaei; Brahim Chaib-Draa

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Synopsis "Building Dialogue Pomdps From Expert Dialogues: An End-To-End Approach (Springerbriefs in Speech Technology) "

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.

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