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%0 Conference Proceedings
%T P-Stance: A Large Dataset for Stance Detection in Political Domain
%A Li, Yingjie
%A Sosea, Tiberiu
%A Sawant, Aditya
%A Nair, Ajith Jayaraman
%A Inkpen, Diana
%A Caragea, Cornelia
%S Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
%D 2021
%8 aug
%I Association for Computational Linguistics
%C Online
%F li-etal-2021-p
%R 10.18653/v1/2021.findings-acl.208
%U https://aclanthology.org/2021.findings-acl.208
%U https://doi.org/10.18653/v1/2021.findings-acl.208
%P 2355-2365

Markdown (Informal)

[P-Stance: A Large Dataset for Stance Detection in Political Domain](https://aclanthology.org/2021.findings-acl.208) (Li et al., Findings 2021)

• P-Stance: A Large Dataset for Stance Detection in Political Domain (Li et al., Findings 2021)

ACL

• Yingjie Li, Tiberiu Sosea, Aditya Sawant, Ajith Jayaraman Nair, Diana Inkpen, and Cornelia Caragea. 2021. P-Stance: A Large Dataset for Stance Detection in Political Domain. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 2355–2365, Online. Association for Computational Linguistics.