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001450849 001__ 1450849
001450849 003__ OCoLC
001450849 005__ 20230310004546.0
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001450849 020__ $$a9789811955389$$q(electronic bk.)
001450849 020__ $$a9811955387$$q(electronic bk.)
001450849 020__ $$z9811955379
001450849 020__ $$z9789811955372
001450849 0247_ $$a10.1007/978-981-19-5538-9$$2doi
001450849 035__ $$aSP(OCoLC)1349562943
001450849 040__ $$aYDX$$beng$$cYDX$$dGW5XE$$dEBLCP$$dOCLCF$$dUKAHL$$dOCLCQ
001450849 049__ $$aISEA
001450849 050_4 $$aQA76.9.H85
001450849 08204 $$a004.01/9$$223/eng/20221110
001450849 1112_ $$aInternational Workshop on Spoken Dialogue Systems Technology$$n(12th :$$d2021 :$$cSingapore)
001450849 24510 $$aConversational AI for natural human-centric interaction :$$b12th International Workshop on Spoken Dialogue System Technology, IWSDS 2021, Singapore /$$cSvetlana Stoyanchev, Stefan Ultes, Haizhou Li, editors.
001450849 2463_ $$aIWSDS 2021
001450849 260__ $$aSingapore :$$bSpringer,$$c2022.
001450849 300__ $$a1 online resource
001450849 4901_ $$aLecture notes in electrical engineering,$$x1876-1119 ;$$vv. 943
001450849 5050_ $$aOut-of-Scope Domain and Intent Classification through Hierarchical Joint Modeling -- Segmentation-Based Formulation of Slot Filling Task for Better Generative Modeling -- Can we predict how challenging Spoken Language Understanding corpora are across sources, languages and domains? -- Personalized Extractive Summarization with Discourse Structure Constraints Towards Efficient and Coherent Dialog-based News Delivery -- Empathetic Dialogue Generation with Pre-trained RoBERTa-GPT2 and External Knowledge -- Towards Handling Unconstrained User Preferences -- Jurassic is (almost) All You Need: Few-Shot Meaning-to-Text Generation for Open-Domain Dialogue -- Comparison of Automatic Speech Recognition Systems -- Multimodal Dialogue Response Timing Estimation Using Dialogue Context Encoder -- Eliciting Cooperative Persuasive Dialogue by Multimodal Emotional Robot.
001450849 506__ $$aAccess limited to authorized users.
001450849 520__ $$aThis book includes peer-reviewed articles from the 12th International Workshop on Spoken Dialogue System Technology, IWSDS 2021, Singapore. Nowadays, dialogue systems or conversational agents have become one of the most important mechanisms for human-computer or human-robot interaction that has been widely adopted as new paradigm for many applications, companies, and final users. On the other hand, recent advances in natural language processing, understanding and generation, as well as a continuous increasing computational power and large number of resources and data, have brought important and consistent improvements to the capabilities of dialogue systems enabling users to have more productive and enjoyable interactions. However, on the threshold of a new decade, the current state of the art shows important areas where improvements are needed such as incorporation of ground-based knowledge, personality, emotions, and adaptability, as well as automatic mechanisms for objective, robust and fast evaluations, especially in the context of developing social and e-health applications. In this 12th edition of the International Workshop on Spoken Dialogue Systems (IWSDS), "Conversational AI for natural human-centric interaction" compiles and presents a synopsis on current global research efforts to push forward the state of the art in dialogue technologies, including advances to the classical problems of dialogue management, language generation and understanding, personalisation and generation, spokena and multimodal interaction, dialogue evaluation, dialogue modelling and applications, as well as topics related to chatbots and conversational agent technologies.
001450849 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 10, 2022).
001450849 650_0 $$aHuman-computer interaction$$vCongresses.
001450849 650_0 $$aArtificial intelligence$$vCongresses.
001450849 650_0 $$aNatural language processing (Computer science)$$vCongresses.
001450849 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001450849 655_0 $$aElectronic books.
001450849 7001_ $$aStoyanchev, Svetlana,$$eeditor.
001450849 7001_ $$aUltes, Stefan,$$eeditor.
001450849 7001_ $$aLi, Haizhou,$$eeditor.
001450849 77608 $$iPrint version: $$z9811955379$$z9789811955372$$w(OCoLC)1334884515
001450849 830_0 $$aLecture notes in electrical engineering ;$$vv. 943.$$x1876-1119
001450849 852__ $$bebk
001450849 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-5538-9$$zOnline Access$$91397441.1
001450849 909CO $$ooai:library.usi.edu:1450849$$pGLOBAL_SET
001450849 980__ $$aBIB
001450849 980__ $$aEBOOK
001450849 982__ $$aEbook
001450849 983__ $$aOnline
001450849 994__ $$a92$$bISE