A Context-Enhanced Transformer with Abbr-Recover Policy for Chinese Abbreviation Prediction.
Kaiyan Cao|Deqing Yang|Jingping Liu|Jiaqing Liang|Yanghua Xiao|Feng Wei|Baohua Wu|Quan Lu
| Anthology ID: | DBLP:conf/cikm/CaoYLLXWWL22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2944-2953 |
| URL: | https://doi.org/10.1145/3511808.3557074 |
| DOI: | https://doi.org/10.1145/3511808.3557074 |
| DBLP: | conf/cikm/CaoYLLXWWL22 |
| BibTeX: |
@inproceedings{cao-2022-contextenhanced,
author = {Kaiyan Cao and
Deqing Yang and
Jingping Liu and
Jiaqing Liang and
Yanghua Xiao and
Feng Wei and
Baohua Wu and
Quan Lu},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{A Context-Enhanced Transformer with Abbr-Recover Policy for Chinese Abbreviation Prediction}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {2944--2953},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557074},
doi = {https://doi.org/10.1145/3511808.3557074}
}