- Anthology ID:
- 2021.findings-acl.426
- Volume:
- Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Month:
- August
- Year:
- 2021
- Address:
- Online
- 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
- 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)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2021.findings-acl.426.pdf
- Code
- ikernels/reasoning-baselines
- Data
- MultiNLI