000			04444nam a22003975i 4500
001			394323
003			ES-MaUEC
005			20230102123119.0
007			cr nn 008mamaa
008			221031s2022 si | s |||| 0|eng d
020			_a9789811955389
024	7		_a10.1007/978-981-19-5538-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aConversational AI for Natural Human-Centric Interaction _b12th International Workshop on Spoken Dialogue System Technology, IWSDS 2021, Singapore _cedited by Svetlana Stoyanchev, Stefan Ultes, Haizhou Li
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XV, 306 páginas) _b77 ilustraciones, 47 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aLecture Notes in Electrical Engineering _x1876-1119 _v943
505	0		_aOut-of-Scope Domain and Intent Classification through Hierarchical Joint Modeling -- Segmentation-Based Formulation of Slot Filling Task for Better Generative Modeling -- Can we predict how challenging Spoken Language Understanding corpora are across sources, languages and domains? -- Personalized Extractive Summarization with Discourse Structure Constraints Towards Efficient and Coherent Dialog-based News Delivery -- Empathetic Dialogue Generation with Pre-trained RoBERTa-GPT2 and External Knowledge -- Towards Handling Unconstrained User Preferences -- Jurassic is (almost) All You Need: Few-Shot Meaning-to-Text Generation for Open-Domain Dialogue -- Comparison of Automatic Speech Recognition Systems -- Multimodal Dialogue Response Timing Estimation Using Dialogue Context Encoder -- Eliciting Cooperative Persuasive Dialogue by Multimodal Emotional Robot.
520			_aThis book includes peer-reviewed articles from the 12th International Workshop on Spoken Dialogue System Technology, IWSDS 2021, Singapore. Nowadays, dialogue systems or conversational agents have become one of the most important mechanisms for human-computer or human-robot interaction that has been widely adopted as new paradigm for many applications, companies, and final users. On the other hand, recent advances in natural language processing, understanding and generation, as well as a continuous increasing computational power and large number of resources and data, have brought important and consistent improvements to the capabilities of dialogue systems enabling users to have more productive and enjoyable interactions. However, on the threshold of a new decade, the current state of the art shows important areas where improvements are needed such as incorporation of ground-based knowledge, personality, emotions, and adaptability, as well as automatic mechanisms for objective, robust and fast evaluations, especially in the context of developing social and e-health applications. In this 12th edition of the International Workshop on Spoken Dialogue Systems (IWSDS), "Conversational AI for natural human-centric interaction" compiles and presents a synopsis on current global research efforts to push forward the state of the art in dialogue technologies, including advances to the classical problems of dialogue management, language generation and understanding, personalisation and generation, spokena and multimodal interaction, dialogue evaluation, dialogue modelling and applications, as well as topics related to chatbots and conversational agent technologies.
700	1		_aStoyanchev, Svetlana _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aUltes, Stefan _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aLi, Haizhou _eeditor literario _0(orcid)0000-0001-9158-9401 _1https://orcid.org/0000-0001-9158-9401 _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9789811955372
776	0	8	_iPrinted edition: _z9789811955396
776	0	8	_iPrinted edition: _z9789811955402
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-5538-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Computer_2022
999			_c394323 _d394323