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
- Editors:
- Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
- Venue:
- 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
- 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)
- PDF:
- https://preview.aclanthology.org/ingest-bitext-workshop/2021.findings-acl.246.pdf
- Data
- HarMeme, Hateful Memes, Hateful Memes Challenge, MS COCO