LEADER 05117nam 22007095 450 001 9910624302203321 005 20251225203726.0 010 $a9789811955389 010 $a9811955387 024 7 $a10.1007/978-981-19-5538-9 035 $a(MiAaPQ)EBC7129901 035 $a(Au-PeEL)EBL7129901 035 $a(CKB)25299677700041 035 $a(PPN)265856795 035 $a(BIP)86243479 035 $a(DE-He213)978-981-19-5538-9 035 $a(EXLCZ)9925299677700041 100 $a20221031d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aConversational AI for Natural Human-Centric Interaction $e12th International Workshop on Spoken Dialogue System Technology, IWSDS 2021, Singapore /$fedited by Svetlana Stoyanchev, Stefan Ultes, Haizhou Li 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (303 pages) 225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v943 311 08$aPrint version: Stoyanchev, Svetlana Conversational AI for Natural Human-Centric Interaction Singapore : Springer,c2022 97898119553722 320 $aIncludes bibliographical references. 327 $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. 330 $aThis book includes peer-reviewed articles from the 12th International Workshop on Spoken Dialogue System Technology, IWSDS 2021, Singapore. Nowadays, dialogue systems or conversational agents have become one of the most important mechanisms for human-computer or human-robot interaction that has been widely adopted as new paradigm for many applications, companies, and final users. On the other hand, recent advances in natural language processing, understanding and generation, as well as a continuous increasing computational power and large number of resources and data, have brought important and consistent improvements to the capabilities of dialogue systems enabling users to have more productive and enjoyable interactions. However, on the threshold of a new decade, the current state of the art shows important areas where improvements are needed such as incorporation of ground-based knowledge, personality, emotions, and adaptability, as well as automatic mechanisms for objective, robustand fast evaluations, especially in the context of developing social and e-health applications. In this 12th edition of the International Workshop on Spoken Dialogue Systems (IWSDS), ?Conversational AI for natural human-centric interaction? compiles and presents a synopsis on current global research efforts to push forward the state of the art in dialogue technologies, including advances to the classical problems of dialogue management, language generation and understanding, personalisation and generation, spokena and multimodal interaction, dialogue evaluation, dialogue modelling and applications, as well as topics related to chatbots and conversational agent technologies. 410 0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v943 606 $aSpeech processing systems 606 $aSignal processing 606 $aArtificial intelligence 606 $aUser interfaces (Computer systems) 606 $aHuman-computer interaction 606 $aSpeech and Audio Processing 606 $aArtificial Intelligence 606 $aUser Interfaces and Human Computer Interaction 606 $aSignal, Speech and Image Processing 615 0$aSpeech processing systems. 615 0$aSignal processing. 615 0$aArtificial intelligence. 615 0$aUser interfaces (Computer systems) 615 0$aHuman-computer interaction. 615 14$aSpeech and Audio Processing. 615 24$aArtificial Intelligence. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aSignal, Speech and Image Processing. 676 $a006.3 702 $aLi$b Haizhou 702 $aUltes$b Stefan 702 $aStoyanchev$b Svetlana 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910624302203321 996 $aConversational AI for Natural Human-Centric Interaction$92964561 997 $aUNINA