"Transformer-based Models for Long-Form Document Matching: Challenges and ..."

Akshita Jha et al. (2023)

> Home

Details and statistics

DOI: 10.18653/V1/2023.FINDINGS-EACL.178

access: open

type: Conference or Workshop Paper

metadata version: 2023-10-05

- view
  - electronic edition via DOI (open access)
  - electronic edition @ aclanthology.org (open access)
  authority control:
- export record
  dblp key:
  - conf/eacl/JhaSRCR23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/eacl/JhaSRCR23
Akshita Jha, Adithya Samavedhi, Vineeth Rakesh, Jaideep Chandrashekar, Chandan K. Reddy:
Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis. EACL (Findings) 2023: 2300-2310

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.