MSGIM: A Multi-grained Syntactic Graph Interaction Model for Multi-intent Spoken Language Understanding
Author:
Affiliation:
1. Guangdong University of Technology,School of Computer Science and Technology,Guangzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651106.pdf?arnumber=10651106
Reference20 articles.
1. Spoken Language Understanding
2. POMDP-Based Statistical Spoken Dialog Systems: A Review
3. Slot-Gated Modeling for Joint Slot Filling and Intent Prediction
4. A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling
5. A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding
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