Learning Chinese Word Embeddings By Discovering Inherent Semantic Relevance in Sub-characters.
Wei Lu|Buzhou Tang|Pingpeng Yuan|Zhaobo Zhang|Hai Jin|Hongxin Cao|Buzhou Tang|Pingpeng Yuan|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{lu-2022-learning,
author = {Wei Lu and
Buzhou Tang and
Pingpeng Yuan and
Zhaobo Zhang and
Hai Jin and
Hongxin Cao and
Buzhou Tang and
Pingpeng Yuan 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}
}