Detecting Harmful Memes and Their Targets

Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty


Anthology ID:
2021.findings-acl.246
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Venues:
ACL | Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
2783–2796
Language:
URL:
https://aclanthology.org/2021.findings-acl.246
DOI:
10.18653/v1/2021.findings-acl.246
Bibkey:
Cite (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.
Cite (Informal):
Detecting Harmful Memes and Their Targets (Pramanick et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.246.pdf
Optional supplementary material:
 2021.findings-acl.246.OptionalSupplementaryMaterial.zip
Data
COCOHateful MemesHateful Memes Challenge