An Effective Non-Autoregressive Model for Spoken Language Understanding.
Lizhi Cheng|Vanessa Murdock|Weijia Jia|Wenmian Yang|Vanessa Murdock|Lizhi Cheng
| Anthology ID: | DBLP:conf/cikm/Cheng0Y21 |
|---|---|
| Volume: | CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 |
| Year: | 2021 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 241-250 |
| URL: | https://doi.org/10.1145/3459637.3482229 |
| DOI: | https://doi.org/10.1145/3459637.3482229 |
| DBLP: | conf/cikm/Cheng0Y21 |
| BibTeX: |
@inproceedings{cheng-2021-effective,
author = {Lizhi Cheng and
Vanessa Murdock and
Weijia Jia and
Wenmian Yang and
Vanessa Murdock and
Lizhi Cheng},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{An Effective Non-Autoregressive Model for Spoken Language Understanding}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {241--250},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3482229},
doi = {https://doi.org/10.1145/3459637.3482229}
}