Intent Recognition for Human-Machine Interactions
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...
Main Authors: | , , |
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Format: | eBook |
Language: | English |
Published: |
Singapore
Springer Nature Singapore
2023, 2023
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Edition: | 1st ed. 2023 |
Series: | SpringerBriefs in Computer Science
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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