@inproceedings{saini-etal-2023-benefits,
title = "Do the Benefits of Joint Models for Relation Extraction Extend to Document-level Tasks?",
author = "Saini, Pratik and
Nayak, Tapas and
Bhattacharya, Indrajit",
editor = "Park, Jong C. and
Arase, Yuki and
Hu, Baotian and
Lu, Wei and
Wijaya, Derry and
Purwarianti, Ayu and
Krisnadhi, Adila Alfa",
booktitle = "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 = nov,
year = "2023",
address = "Nusa Dua, Bali",
publisher = "Association for Computational Linguistics",
url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2023.ijcnlp-short.6/",
doi = "10.18653/v1/2023.ijcnlp-short.6",
pages = "43--51"
}
Markdown (Informal)
[Do the Benefits of Joint Models for Relation Extraction Extend to Document-level Tasks?](https://preview.aclanthology.org/add-emnlp-2024-awards/2023.ijcnlp-short.6/) (Saini et al., IJCNLP-AACL 2023)
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.