SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction

Shuang Zeng, Yuting Wu, Baobao Chang


Anthology ID:
2021.findings-acl.47
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:
524–534
Language:
URL:
https://aclanthology.org/2021.findings-acl.47
DOI:
10.18653/v1/2021.findings-acl.47
Bibkey:
Cite (ACL):
Shuang Zeng, Yuting Wu, and Baobao Chang. 2021. SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 524–534, Online. Association for Computational Linguistics.
Cite (Informal):
SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction (Zeng et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.47.pdf
Code
 DreamInvoker/SIRE
Data
DocRED