Intent Recognition for Human-Machine Interactions / SpringerBriefs in Computer Science (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.
Hanlei Zhang obtained his BS degree from the Department of Computer Science and Technology at Beijing Jiaotong University in 2020. He is currently pursuing a PhD in the Department of Computer Science and Technology at Tsinghua University. His research goal focuses on analyzing human intentions in real-world scenarios. Hanlei has published five first-authored peer-reviewed papers in top-tier international conferences and journals, including AAAI, ACM MM, ACL, and IEEE/ACM TASLP. His research interests encompass various areas such as intent analysis, open world classification,
Ting-En Lin stands at the forefront of Conversational AI as a senior researcher at Alibaba's prestigious DAMO Academy. With an unwavering commitment to advancing the field of natural language processing, Tony has made significant strides in multimodal understanding, shaping the future of human-computer interaction. Educated at renowned institutions, Tony earned his Bachelor's degree in Electrical and Computer Engineering from National Chiao Tung University (NCTU) before pursuing his MPhil in Computer Science and Technology at Tsinghua University (THU). Under the guidance of Prof. Hua Xu, Tony honed his expertise and embarked on a fruitful research career. As a prolific contributor to the AI community, Tony has published numerous papers in leading conferences such as ACL, EMNLP, KDD, SIGIR, and AAAI. He is also a dedicated member of the program committee, ensuring the growth and development of the field.
- Autoren: Hua Xu , Hanlei Zhang , Ting-En Lin
- 2023, 1st ed. 2023, 152 Seiten, Englisch
- Verlag: Springer Nature Singapore
- ISBN-10: 9819938856
- ISBN-13: 9789819938858
- Erscheinungsdatum: 29.08.2023
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