Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis

Akshita Jha, Adithya Samavedhi, Vineeth Rakesh, Jaideep Chandrashekar, Chandan K. Reddy. Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis. In Andreas Vlachos 0001, Isabelle Augenstein, editors, Findings of the Association for Computational Linguistics: EACL 2023, Dubrovnik, Croatia, May 2-6, 2023. pages 2300-2310, Association for Computational Linguistics, 2023. [doi]

@inproceedings{JhaSRCR23,
  title = {Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis},
  author = {Akshita Jha and Adithya Samavedhi and Vineeth Rakesh and Jaideep Chandrashekar and Chandan K. Reddy},
  year = {2023},
  url = {https://aclanthology.org/2023.findings-eacl.178},
  researchr = {https://researchr.org/publication/JhaSRCR23},
  cites = {0},
  citedby = {0},
  pages = {2300-2310},
  booktitle = {Findings of the Association for Computational Linguistics: EACL 2023, Dubrovnik, Croatia, May 2-6, 2023},
  editor = {Andreas Vlachos 0001 and Isabelle Augenstein},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-959429-47-0},
}