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...

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Bibliographic Details
Main Authors: Xu, Hua, Zhang, Hanlei (Author), Lin, Ting-En (Author)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2023, 2023
Edition:1st ed. 2023
Series:SpringerBriefs in Computer Science
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