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Intent Recognition for Human-Machine Interactions (eBook)

Artikelnummer: 978-981-9938-85-8
Einband: PDF
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Natural interaction is one of the hottest research issues in human-computer interaction. At present, there is an urgent need for intelligent devices (service robots, virtual humans, etc.) to be able to understand intentions in an interactive dialogue. Focusing on human-computer understanding based on deep learning methods, the book systematically introduces readers to intention recognition, unknown intention detection, and new intention discovery in human-computer dialogue. This book is the first to present interactive dialogue intention analysis in the context of natural interaction. In addition to helping readers master the key technologies and concepts of human-machine dialogue intention analysis and catch up on the latest advances, it includes valuable references for further research.


accessibilitysupport@springernature.com

Natural interaction is one of the hottest research issues in human-computer interaction. At present, there is an urgent need for intelligent devices (service robots, virtual humans, etc.) to be able to understand intentions in an interactive dialogue. Focusing on human-computer understanding based on deep learning methods, the book systematically introduces readers to intention recognition, unknown intention detection, and new intention discovery in human-computer dialogue. This book is the first to present interactive dialogue intention analysis in the context of natural interaction. In addition to helping readers master the key technologies and concepts of human-machine dialogue intention analysis and catch up on the latest advances, it includes valuable references for further research.


accessibilitysupport@springernature.com
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VerlagSpringer Nature Singapore
EinbandPDF
Erscheinungsjahr2023
Seitenangabe152 S.
AusgabekennzeichenEnglisch
AbbildungenXVIII, 152 p. 1 illus.
Masse5'918 KB
PlattformPDF
ReiheSpringerBriefs in Computer Science; Computer Science; Computer Science
AutorXu, Hua / Zhang, Hanlei / Lin, Ting-En

Alle Bände der Reihe "SpringerBriefs in Computer Science; Computer Science; Computer Science (R0)"

Über den Autor Hua Xu

Hua Xu is a leading expert on Intelligent Natural Interaction and service robots. He is currently a Tenured Associate Professor at Tsinghua University, Editor-in-Chief of the journal, Intelligent Systems with Applications and Associate Editor of Expert Systems with Application. Prof. Xu has authored the books Data Mining: Methodology and Applications (2014), Data Mining: Methods and Applications-Application Cases (2017), Evolutionary Machine Learning (2021), Data Mining: Methodology and Applications (2nd edition) (2022), Natural Interaction for Tri-Co Robots, Volume 1: Human-machine Dialogue Intention Understanding (2022) and Natural Interaction for Tri-Co Robots, Volume 2: Sentiment Analysis of Multimodal Interaction Information (2023), and published more than 140 papers in top-tier international journals and conferences. He is a Core Expert of the No.03 National Science and Technology Major Project of the Ministry of Industry and Information Technology of China, Senior Member of the (CCF), member of CAAI and ACM, Vice Chairman of Tsinghua Collaborative Innovation Alliance of Robotics and Industry, and recipient of numerous awards, including the Second Prize of National Award for Progress in Science and Technology, First Prize for Technological Invention of CFLP and First Prize for Science and Technology Progress of CFLP, etc.

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