Capture Salient Historical Information: A Fast and Accurate Non-autoregressive Model for Multi-turn Spoken Language Understanding.
Lizhi Cheng|Weijia Jia|Wenmian Yang
| Anthology ID: | DBLP:journals/tois/ChengJY23 |
|---|---|
| Year: | 2023 |
| Venue: | ACM Transactions on Information Systems (TOIS) |
| Pages: | 41:1-41:32 |
| URL: | https://doi.org/10.1145/3545800 |
| DOI: | https://doi.org/10.1145/3545800 |
| DBLP: | journals/tois/ChengJY23 |
| BibTeX: |
@article{cheng-2023-capture,
author = {Lizhi Cheng and
Weijia Jia and
Wenmian Yang},
title = {{Capture Salient Historical Information: A Fast and Accurate Non-autoregressive Model for Multi-turn Spoken Language Understanding}},
journal = {ACM Transactions on Information Systems (TOIS)},
volume = {41},
number = {2},
pages = {41:1--41:32},
year = {2023},
url = {https://doi.org/10.1145/3545800},
doi = {https://doi.org/10.1145/3545800}
}