PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration

Minseok Choi, Hyesu Lim, Jaegul Choo


Anthology ID:
2023.findings-ijcnlp.4
Volume:
Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)
Month:
November
Year:
2023
Address:
Nusa Dua, Bali
Editors:
Jong C. Park, Yuki Arase, Baotian Hu, Wei Lu, Derry Wijaya, Ayu Purwarianti, Adila Alfa Krisnadhi
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
39–47
Language:
URL:
https://aclanthology.org/2023.findings-ijcnlp.4
DOI:
10.18653/v1/2023.findings-ijcnlp.4
Bibkey:
Cite (ACL):
Minseok Choi, Hyesu Lim, and Jaegul Choo. 2023. PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration. In Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings), pages 39–47, Nusa Dua, Bali. Association for Computational Linguistics.
Cite (Informal):
PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration (Choi et al., Findings 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.findings-ijcnlp.4.pdf