LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization - ACL Anthology

LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization

Weidong Guo, Mingjun Zhao, Lusheng Zhang, Di Niu, Jinwen Luo, Zhenhua Liu, Zhenyang Li, Jianbo Tang


Anthology ID:
2021.findings-acl.119
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Editors:
Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1383–1392
Language:
URL:
https://aclanthology.org/2021.findings-acl.119
DOI:
10.18653/v1/2021.findings-acl.119
Bibkey:
Cite (ACL):
Weidong Guo, Mingjun Zhao, Lusheng Zhang, Di Niu, Jinwen Luo, Zhenhua Liu, Zhenyang Li, and Jianbo Tang. 2021. LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 1383–1392, Online. Association for Computational Linguistics.
Cite (Informal):
LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization (Guo et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.119.pdf
Video:
 https://aclanthology.org/2021.findings-acl.119.mp4
Data
CLUEGLUESuperGLUE