A Multi-Task Approach for Improving Biomedical Named Entity Recognition by Incorporating Multi-Granularity information

Yiqi Tong, Yidong Chen, Xiaodong Shi


Anthology ID:
2021.findings-acl.424
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Venues:
ACL | Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
4804–4813
Language:
URL:
https://aclanthology.org/2021.findings-acl.424
DOI:
10.18653/v1/2021.findings-acl.424
Bibkey:
Cite (ACL):
Yiqi Tong, Yidong Chen, and Xiaodong Shi. 2021. A Multi-Task Approach for Improving Biomedical Named Entity Recognition by Incorporating Multi-Granularity information. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 4804–4813, Online. Association for Computational Linguistics.
Cite (Informal):
A Multi-Task Approach for Improving Biomedical Named Entity Recognition by Incorporating Multi-Granularity information (Tong et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.424.pdf
Code
 zgzjdx/mt-bioner
Data
BC5CDRNCBI Disease