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} }