An Effective Non-Autoregressive Model for Spoken Language Understanding
Author:
Affiliation:
1. Shanghai JiaojinTong University, Shanghai, China
2. Beijing Normal University (BNU Zhuhai) & BNU-HKBU United International College, Zhuhai, China
Funder
Chinese National Research Fund
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3459637.3482229
Reference33 articles.
1. Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference
2. Syntax or semantics? knowledge-guided joint semantic frame parsing
3. A Result Based Portable Framework for Spoken Language Understanding
4. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
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