- Anthology ID:
- 2021.findings-acl.217
- 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:
- 2447–2460
- Language:
- URL:
- https://aclanthology.org/2021.findings-acl.217
- DOI:
- 10.18653/v1/2021.findings-acl.217
- Cite (ACL):
- Canasai Kruengkrai, Junichi Yamagishi, and Xin Wang. 2021. A Multi-Level Attention Model for Evidence-Based Fact Checking. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 2447–2460, Online. Association for Computational Linguistics.
- Cite (Informal):
- A Multi-Level Attention Model for Evidence-Based Fact Checking (Kruengkrai et al., Findings 2021)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2021.findings-acl.217.pdf
- Code
- nii-yamagishilab/mla
- Data
- FEVER