Strong and Light Baseline Models for Fact-Checking Joint Inference

Kateryna Tymoshenko, Alessandro Moschitti


Anthology ID:
2021.findings-acl.426
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Editors:
Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
4824–4830
Language:
URL:
https://aclanthology.org/2021.findings-acl.426
DOI:
10.18653/v1/2021.findings-acl.426
Bibkey:
Cite (ACL):
Kateryna Tymoshenko and Alessandro Moschitti. 2021. Strong and Light Baseline Models for Fact-Checking Joint Inference. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 4824–4830, Online. Association for Computational Linguistics.
Cite (Informal):
Strong and Light Baseline Models for Fact-Checking Joint Inference (Tymoshenko & Moschitti, Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.426.pdf
Video:
 https://aclanthology.org/2021.findings-acl.426.mp4
Code
 ikernels/reasoning-baselines
Data
MultiNLI