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Building Dialogue POMDPs from Expert Dialogues: An end-to-end approach
Kategorie	Beschreibung
036a	XA-DE
037b	eng
087q	978-3-319-26198-0
100	Chinaei, Hamidreza
104b	Chaib-draa, Brahim
331	Building Dialogue POMDPs from Expert Dialogues
335	An end-to-end approach
403	1st ed. 2016
410	Cham
412	Springer
425	2016
425a	2016
433	Online-Ressource (VII, 119 p. 22 illus., 21 illus. in color, online resource)
451b	SpringerBriefs in Electrical and Computer Engineering
527	Druckausg.ISBN: 978-3-319-26198-0
540a	ISBN 978-3-319-26200-0
700	\|UYS
700	\|COM073000
700	\|*68-02
700	\|68Q87
700	\|68T35
700	\|68T50
700	\|TTBM
700	\|TEC008000
700b	\|621.382
700c	\|TK5102.9
700c	\|TA1637-1638
700c	\|TK7882.S65
750	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. Provides insights on building dialogue systems to be applied in real domain Illustrates learning dialogue POMDP model components from unannotated dialogues in a concise format Introduces an end-to-end approach that makes use of unannotated and noisy dialogue for learning each component of dialogue POMDPs
753	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
012	461147890
081	Chinaei, Hamidreza: Building Dialogue POMDPs from Expert Dialogues
100	Springer E-Book
125a	Elektronischer Volltext - Campuslizenz
655e	$uhttp://dx.doi.org/10.1007/978-3-319-26200-0