Learning Chinese Word Embeddings By Discovering Inherent Semantic Relevance in Sub-characters.
Buzhou Tang|Pingpeng Yuan|Wei Lu|Zhaobo Zhang|Hai Jin|Hongxin Cao|Pingpeng Yuan|Buzhou Tang|Hai Jin|Hongxin Cao|Qiang-Sheng Hua
| Anthology ID: | DBLP:conf/cikm/LuZY0H22 |
|---|---|
| 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: | 1369-1378 |
| URL: | https://doi.org/10.1145/3511808.3557376 |
| DOI: | https://doi.org/10.1145/3511808.3557376 |
| DBLP: | conf/cikm/LuZY0H22 |
| BibTeX: |
@inproceedings{tang-2022-learning,
author = {Buzhou Tang and
Pingpeng Yuan and
Wei Lu and
Zhaobo Zhang and
Hai Jin and
Hongxin Cao and
Pingpeng Yuan and
Buzhou Tang and
Hai Jin and
Hongxin Cao and
Qiang-Sheng Hua},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{Learning Chinese Word Embeddings By Discovering Inherent Semantic Relevance in Sub-characters}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {1369--1378},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557376},
doi = {https://doi.org/10.1145/3511808.3557376}
}