Intent Recognition for Human-Machine Interactions [E-Book] / by 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 based o...
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Full text |
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Personal Name(s): | Xu, Hua, author |
Lin, Ting-En, author / Zhang, Hanlei, author | |
Edition: |
1st edition 2023. |
Imprint: |
Singapore :
Springer,
2023
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Physical Description: |
XVIII, 152 pages 1 illustration (online resource) |
Note: |
englisch |
ISBN: |
9789819938858 |
DOI: |
10.1007/978-981-99-3885-8 |
Series Title: |
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SpringerBriefs in Computer Science
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Subject (LOC): |
- Part I: Overview
- Chapter 1. Dialogue System
- Chapter 2. Intent Recognition
- Part II: Intent Classification
- Chapter 3. Intent Classification Based on Single Model
- Chapter 4. A Dual RNN Semantic Analysis Framework for Intent Classification and Slot
- Part III: Unknown Intent Detection
- Chapter 5. Unknown Intent Detection Method Based on Model Post-processing
- Chapter 6. Unknown Intent Detection Based on Large-Margin Cosine Loss
- Chapter 7. Unknown Intention Detection Method based on Dynamic Constraint Boundary
- Part IV: Discovery of Unknown Intents
- Chapter 8. Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement
- Chapter 9. Discovering New Intents with Deep Aligned Clustering
- Part V: Dialogue Intent Recognition Platform
- Chapter 10. Experiment Platform for Dialogue Intent Recognition based on Deep Learning
- Part VI: Summary and Future Work
- Chapter 11. Summary
- Appendix.