Hamidreza Chinaei,
Brahim Chaib-draa
Building Dialogue POMDPs from Expert Dialogues
An end-to-end approach
Paperback Engels 2016 9783319261980Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
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.
Specificaties
ISBN13:9783319261980
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing
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Inhoudsopgave
<p>1 Introduction.- 2 A few words on topic modeling.- 3 Sequential decision making in spoken dialog management.- 4 Learning the dialog POMDP model components.- 5 Learning the reward function.- 6 Application on healthcare dialog management.- 7 Conclusions and future work.</p>
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