Intent recognition for human-machine interactions / Hua Xu, Hanlei Zhang, Ting-En Lin.
"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 b...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Ebook |
| Language: | English |
| Published: |
Singapore :
Springer,
2023.
|
| Series: | SpringerBriefs in computer science
|
| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | "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."--Publisher's website. |
|---|---|
| Item Description: | 5.4 Conclusion. |
| Physical Description: | 1 online resource (162 pages). |
| Bibliography: | References -- Part III: Unknown Intent Detection -- Chapter 5: Unknown Intent Detection Method Based on Model Post-Processing -- 5.1 Introduction -- 5.2 A Post-Processing for New Intent Detection -- 5.2.1 Classifiers -- BiLSTM -- CNN + CNN -- 5.2.2 SofterMax -- Temperature Scaling -- Probability Calibration -- Decision Boundary -- 5.2.3 Deep Novelty Detection -- 5.2.4 SMDN -- 5.3 Experiments -- 5.3.1 Datasets -- 5.3.2 Baselines -- 5.3.3 Experiment Settings -- Evaluation -- Hyper-Parameters -- 5.3.4 Experiment Results -- Single-Turn Dialogue Datasets -- Multi-Turn Dialogue Dataset. Includes bibliographical references. |
| ISBN: | 9789819938858 9819938856 |