- Anthology ID:
- 2021.findings-acl.37
- 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:
- 421–435
- Language:
- URL:
- https://aclanthology.org/2021.findings-acl.37
- DOI:
- 10.18653/v1/2021.findings-acl.37
- Cite (ACL):
- Xinsong Zhang, Pengshuai Li, and Hang Li. 2021. AMBERT: A Pre-trained Language Model with Multi-Grained Tokenization. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 421–435, Online. Association for Computational Linguistics.
- Cite (Informal):
- AMBERT: A Pre-trained Language Model with Multi-Grained Tokenization (Zhang et al., Findings 2021)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2021.findings-acl.37.pdf
- Data
- CLUE, CMNLI, CMRC, CMRC 2018, ChID, CoLA, GLUE, MRPC, MultiNLI, QNLI, SST, SST-2