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245 1 0 _aConversational AI for Natural Human-Centric Interaction
_h[electronic resource] :
_b12th International Workshop on Spoken Dialogue System Technology, IWSDS 2021, Singapore /
_cedited by Svetlana Stoyanchev, Stefan Ultes, Haizhou Li.
250 _a1st ed. 2022.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2022.
300 _aXV, 306 p. 77 illus., 47 illus. in color.
_bonline resource.
336 _atext
_btxt
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337 _acomputer
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338 _aonline resource
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490 1 _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, robustand 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.
650 0 _aSpeech processing systems.
650 0 _aSignal processing.
650 0 _aArtificial intelligence.
650 0 _aUser interfaces (Computer systems).
650 0 _aHuman-computer interaction.
650 1 4 _aSpeech and Audio Processing.
650 2 4 _aArtificial Intelligence.
650 2 4 _aUser Interfaces and Human Computer Interaction.
650 2 4 _aSignal, Speech and Image Processing.
700 1 _aStoyanchev, Svetlana.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aUltes, Stefan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLi, Haizhou.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9789811955402
830 0 _aLecture Notes in Electrical Engineering,
_x1876-1119 ;
_v943
856 4 0 _uhttps://doi.org/10.1007/978-981-19-5538-9
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