Conference Paper2025

Banmime: Misogyny detection with metaphor explanation on bangla memes

Md Ayon Mia, Akm Moshiur Rahman Mazumder, Khadiza Sultana Sayma, Md Fahim, Md Tahmid Hasan Fuad, Muhammad Ibrahim Khan, Akmmahbubur Rahman

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

Association for Computational Linguistics, pp. 17824-17850

  • Gender Equality — Relevance: 83%
  • Reduced Inequalities — Relevance: 70%
  • Peace, Justice and Strong Institutions — Relevance: 71%
DOI: 10.18653/v1/2025.emnlp-main.900Open AccessURL

Abstract

Md Ayon Mia, Akm Moshiur Rahman Mazumder, Khadiza Sultana Sayma, Md Fahim, Md Tahmid Hasan Fuad, Muhammad Ibrahim Khan, Akmmahbubur Rahman. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. 2025.

Keywords

  • misogyny detection
  • hate speech
  • social media text
  • metaphorical language

CCDS Authors

MD Md Fahim
Md Fahim

MD Md Fahim

  • Alumni, CCDS

  • PhD Student

    University of Texas at Dallas, USA

  • BSc

    University of Dhaka, Bangladesh

Published at

ACL, EMNLP, ECAI, WACV, LREC, ICPR, BEA, BLP, Pattern Recognition, Information Sciences, Smart Agricultural Technology

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