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%0 Conference Proceedings
%T A Multi-Level Attention Model for Evidence-Based Fact Checking
%A Kruengkrai, Canasai
%A Yamagishi, Junichi
%A Wang, Xin
%S Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
%D 2021
%8 aug
%I Association for Computational Linguistics
%C Online
%F kruengkrai-etal-2021-multi
%R 10.18653/v1/2021.findings-acl.217
%U https://aclanthology.org/2021.findings-acl.217
%U https://doi.org/10.18653/v1/2021.findings-acl.217
%P 2447-2460

Markdown (Informal)

[A Multi-Level Attention Model for Evidence-Based Fact Checking](https://aclanthology.org/2021.findings-acl.217) (Kruengkrai et al., Findings 2021)

• A Multi-Level Attention Model for Evidence-Based Fact Checking (Kruengkrai et al., Findings 2021)

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.