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%0 Conference Proceedings
%T Detecting Harmful Memes and Their Targets
%A Pramanick, Shraman
%A Dimitrov, Dimitar
%A Mukherjee, Rituparna
%A Sharma, Shivam
%A Akhtar, Md. Shad
%A Nakov, Preslav
%A Chakraborty, Tanmoy
%Y Zong, Chengqing
%Y Xia, Fei
%Y Li, Wenjie
%Y Navigli, Roberto
%S Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F pramanick-etal-2021-detecting
%R 10.18653/v1/2021.findings-acl.246
%U https://aclanthology.org/2021.findings-acl.246
%U https://doi.org/10.18653/v1/2021.findings-acl.246
%P 2783-2796

Markdown (Informal)

[Detecting Harmful Memes and Their Targets](https://aclanthology.org/2021.findings-acl.246) (Pramanick et al., Findings 2021)

• Detecting Harmful Memes and Their Targets (Pramanick et al., Findings 2021)

ACL

• Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, and Tanmoy Chakraborty. 2021. Detecting Harmful Memes and Their Targets. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 2783–2796, Online. Association for Computational Linguistics.