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001			85173
003			ES-MaUEC
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007			cr nn 008mamaa
008			160208s2016 gw a s 0|1 0 eng d
020			_a9783319262000
024	7		_a10.1007/978-3-319-26200-0 _2doi
040			_aES-MaUEC
050		4	_aQA76.9.N38 _bC45 2016 EB
082	0	4	_a621.382
100	1		_aChinaei, Hamidreza _997918 _0Local
245	1	0	_aBuilding Dialogue POMDPs from Expert Dialogues : _bAn end-to-end approach _cby Hamidreza Chinaei, Brahim Chaib-draa
250			_a1st ed.
260			_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (VII, 119 p.) _b22 ilustraciones, 21 ilustraciones en color
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	1		_aSpringerBriefs in Electrical and Computer Engineering _x2191-8112
505	0		_a1 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.
520			_aThis 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.
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
988			_aEBOOK, EBSPRINGER
650		7	_aProceso en lenguaje natural (Informática) _0comprobar BNE20012033390 _2embne _9158738
650	0	7	_aInterfaces de usuario _0LocalX _2embne _9149839
650		7	_aInteligencia artificial _0comprobar BNE19900997218 _2embne _9413115
700	1		_aChaib-draa, Brahim _997919 _0Local
830		0	_aSpringerBriefs in Electrical and Computer Engineering _x2191-8112 _9134065
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-26200-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319262000
907			_a.b12944518 _b10-10-17 _c21-11-16
998			_am _a_alco _a_vill _b09-09-17 _cm _dz _ei _feng _ggw _h0
945			_aQA76.9.N38 C45 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11588548 _z06-04-17
999			_c85173 _d85173 _x1