Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics

Luyang Kong, Christopher Winestock, Parminder Bhatia


Anthology ID:
2021.findings-acl.212
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:
2401–2405
Language:
URL:
https://aclanthology.org/2021.findings-acl.212
DOI:
10.18653/v1/2021.findings-acl.212
Bibkey:
Cite (ACL):
Luyang Kong, Christopher Winestock, and Parminder Bhatia. 2021. Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 2401–2405, Online. Association for Computational Linguistics.
Cite (Informal):
Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics (Kong et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.212.pdf
Video:
 https://aclanthology.org/2021.findings-acl.212.mp4
Data
COMETA