H-FND: Hierarchical False-Negative Denoising for Distant Supervision Relation Extraction

Jhih-wei Chen, Tsu-Jui Fu, Chen-Kang Lee, Wei-Yun Ma


Anthology ID:
2021.findings-acl.228
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
2579–2593
Language:
URL:
https://aclanthology.org/2021.findings-acl.228
DOI:
10.18653/v1/2021.findings-acl.228
Bibkey:
Cite (ACL):
Jhih-wei Chen, Tsu-Jui Fu, Chen-Kang Lee, and Wei-Yun Ma. 2021. H-FND: Hierarchical False-Negative Denoising for Distant Supervision Relation Extraction. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 2579–2593, Online. Association for Computational Linguistics.
Cite (Informal):
H-FND: Hierarchical False-Negative Denoising for Distant Supervision Relation Extraction (Chen et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.228.pdf
Optional supplementary material:
 2021.findings-acl.228.OptionalSupplementaryMaterial.zip
Video:
 https://aclanthology.org/2021.findings-acl.228.mp4
Code
 ckiplab/hfnd
Data
TACRED