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Conversational AI for Natural Human-Centric Interaction : 12th International Workshop on Spoken Dialogue System Technology, IWSDS 2021, Singapore / edited by Svetlana Stoyanchev, Stefan Ultes, Haizhou Li.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Stoyanchev, Svetlana., Editor.
Ultes, Stefan, Editor.
Li, Haizhou, Editor.
SpringerLink (Online service)
Series:
Lecture notes in electrical engineering 1876-1119 ; 943
Lecture Notes in Electrical Engineering, 1876-1119 ; 943
Language:
English
Subjects (All):
Speech processing systems.
Signal processing.
Artificial intelligence.
User interfaces (Computer systems).
Human-computer interaction.
Speech and Audio Processing.
Artificial Intelligence.
User Interfaces and Human Computer Interaction.
Signal, Speech and Image Processing .
Local Subjects:
Speech and Audio Processing.
Artificial Intelligence.
User Interfaces and Human Computer Interaction.
Signal, Speech and Image Processing .
Physical Description:
1 online resource (XV, 306 pages) : 77 illustrations, 47 illustrations in color.
Edition:
1st edition 2022.
Contained In:
Springer Nature eBook
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
System Details:
text file PDF
Summary:
This 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.
Contents:
Out-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.
Other Format:
Printed edition:
ISBN:
9789811955389

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