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...
-д хадгалсан:
| Үндсэн зохиолчид: | , , |
|---|---|
| Байгууллагын зохиогч: | |
| Формат: | Цахим Цахим ном |
| Хэл сонгох: | англи |
| Хэвлэсэн: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2023.
|
| Хэвлэл: | 1st ed. 2023. |
| Цуврал: | SpringerBriefs in Computer Science,
|
| Нөхцлүүд: | |
| Онлайн хандалт: | https://doi.org/10.1007/978-981-99-3885-8 |
| Шошгууд: |
Шошго нэмэх
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
|
Агуулга:
- 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.