Do the Benefits of Joint Models for Relation Extraction Extend to Document-level Tasks?

Pratik Saini, Tapas Nayak, Indrajit Bhattacharya


Anthology ID:
2023.ijcnlp-short.6
Volume:
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)
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
Venues:
IJCNLP | AACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
43–51
Language:
URL:
https://aclanthology.org/2023.ijcnlp-short.6
DOI:
10.18653/v1/2023.ijcnlp-short.6
Bibkey:
Cite (ACL):
Pratik Saini, Tapas Nayak, and Indrajit Bhattacharya. 2023. Do the Benefits of Joint Models for Relation Extraction Extend to Document-level Tasks?. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 43–51, Nusa Dua, Bali. Association for Computational Linguistics.
Cite (Informal):
Do the Benefits of Joint Models for Relation Extraction Extend to Document-level Tasks? (Saini et al., IJCNLP-AACL 2023)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-2/2023.ijcnlp-short.6.pdf