CTMSN-EHI: A Context-Aware Time-Decay Multi-Head Self-Attention Network with Enhanced History Information for Multi- Turn Spoken Language Understanding
Author:
Affiliation:
1. College of Computer Science Sichuan University,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10074610/10074618/10074935.pdf?arnumber=10074935
Reference26 articles.
1. End-to-End Memory Networks with Knowledge Carryover for Multi-Turn Spoken Language Understanding
2. Simple, Fast, Accurate Intent Classification and Slot Labeling for Goal-Oriented Dialogue Systems
3. How Time Matters: Learning Time-Decay Attention for Contextual Spoken Language Understanding in Dialogues
4. Sequential Dialogue Context Modeling for Spoken Language Understanding
5. Slot-Gated Modeling for Joint Slot Filling and Intent Prediction
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