A Neural Edge-Editing Approach for Document-Level Relation Graph Extraction

Kohei Makino, Makoto Miwa, Yutaka Sasaki


Anthology ID:
2021.findings-acl.234
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:
2653–2662
Language:
URL:
https://aclanthology.org/2021.findings-acl.234
DOI:
10.18653/v1/2021.findings-acl.234
Bibkey:
Cite (ACL):
Kohei Makino, Makoto Miwa, and Yutaka Sasaki. 2021. A Neural Edge-Editing Approach for Document-Level Relation Graph Extraction. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 2653–2662, Online. Association for Computational Linguistics.
Cite (Informal):
A Neural Edge-Editing Approach for Document-Level Relation Graph Extraction (Makino et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.234.pdf
Code
 tti-coin/edge-editing