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020 _a9789811025853
_q(electronic bk.)
020 _a9811025851
020 _z9789811025846
020 _z9811025843
035 _a(OCoLC)967524923
_z(OCoLC)967269269
_z(OCoLC)967321168
_z(OCoLC)970389672
040 _aEBLCP
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_bspa
050 4 _aTK5102.9
_bJ655 2016 EB
100 1 _aJokinen, Kristiina.
245 1 0 _aDialogues with Social Robots :
_bEnablements, Analyses, and Evaluation.
264 1 _aSingapore
_bSpringer
_c2016
300 _a1 recurso en línea (475 páginas)
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
490 0 _aLecture Notes in Electrical Engineering
_vvolumen 999
500 _a4.1 Setting Utility Values.
500 _aSpringerLink
_bSpringer Engineering eBooks 2017 English+International
505 0 _aPreface; The IWSDS 2016 Conference; Dialogue State Tracking Challenge 4; Evaluation of Human-Robot Dialogue in Social Robotics; Sociocognitive Language Processing; Organization of IWSDS 2016; Steering Committee; Conference Chair; Local Arrangements Committee; Scientific Committee; Sponsors; Contents; Part I The Northernmost Spoken Dialogue Workshop; DigiSami and Digital Natives: Interaction Technology for the North Sami Language; 1 Introduction; 2 DigiSami and North Sami Language Resources; 2.1 The DigiSami Project; 2.2 The Sami Languages; 2.3 The North Sami Language.
505 8 _a2.1 Example-Based Dialog Managers and Their Evaluation2.2 Active Learning Framework; 3 Input Selection Strategies; 4 Experiments; 4.1 Experimental Setup; 4.2 Experimental Results and Additional Analysis; 5 Conclusion; References; Question Selection Based on Expected Utility to Acquire Information Through Dialogue; 1 Introduction; 2 Appropriate Questions for Acquiring Information; 3 Question Selection Based on Expected Utility; 3.1 Utility for Each Question Type; 3.2 Probability Representing Content of Questions; 3.3 Calculating Expected Utility; 4 Empirical Setting of Parameters.
505 8 _a2.4 Existing North Sami Language Resources2.5 Existing North Sami Speech Technology; 3 The DigiSami Corpus; 3.1 Preliminary Analysis: Engagement and Interaction; 3.2 Preliminary Analysis: Influence of Majority Language; 3.3 Preliminary Analysis: Adjectives in Spoken Language; 4 Towards SamiTalk: A Sami-Speaking Robot Application; 5 Conclusions and Future Work; References; Part II Methods and Techniques for Spoken Dialogue Systems; A Comparative Study of Text Preprocessing Techniques for Natural Language Call Routing; 1 Introduction; 2 Corpus Description; 3 Term Weighting Methods.
505 8 _a4 Dimensionality Reduction Methods5 Classification Algorithms; 6 Numerical Experiments; 7 Conclusions; References; Compact and Interpretable Dialogue State Representation with Genetic Sparse Distributed Memory; 1 Introduction; 2 Background; 2.1 The Reinforcement Learning Framework; 2.2 The Sparse Distributed Memory Model; 2.3 Genetic Sparse Distributed Memory for Classification; 3 Genetic Sparse Distributed Memory for Reinforcement Learning (GSDMRL); 3.1 Building the Set of Prototypes; 3.2 Q-Function Parametrisation; 3.3 Re-engineering the Prototypes.
505 8 _a4 Experiments with the NASTIA Dialogue System4.1 Comparing GSDMRL to a Grid-Based Representation; 4.2 Scalability and Interpretability of GSDMRL; 4.3 Results; 5 Conclusion; References; Incremental Human-Machine Dialogue Simulation; 1 Introduction; 2 Simulated Environment; 2.1 Service; 2.2 User Simulator; 2.3 ASR Output Simulator; 2.4 Scheduler; 3 Illustration; 3.1 Turn-Taking Strategy Example; 3.2 Evaluation; 4 Conclusion and Future Work; References; Active Learning for Example-Based Dialog Systems; 1 Introduction; 2 An Active Learning Framework for Example-Based Dialog Managers.
520 3 _aThis book explores novel aspects of social robotics, spoken dialogue systems, human-robot interaction, spoken language understanding, multimodal communication, and system evaluation. It offers a variety of perspectives on and solutions to the most important questions about advanced techniques for social robots and chat systems. Chapters by leading researchers address key research and development topics in the field of spoken dialogue systems, focusing in particular on three special themes: dialogue state tracking, evaluation of human-robot dialogue in social robotics, and socio-cognitive language processing. The book offers a valuable resource for researchers and practitioners in both academia and industry whose work involves advanced interaction technology and who are seeking an up-to-date overview of the key topics. It also provides supplementary educational material for courses on state-of-the-art dialogue system technologies, social robotics, and related research fields.
650 7 _aReconocimiento de formas
_2embne
_0(OCoLC)fst01055254
_0
_9152614
700 1 _aWilcock, Graham.
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-981-10-2585-3
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988 _aEBOOK, asignarmaterias, EBSPRINGER_2017B
998 _b02/2018
_dz
_e-
_zSI
999 _c95128
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