The Hateful Memes Challenge: Competition Report

Open Access
Authors
  • D. Kiela
  • H. Firooz
  • A. Mohan
  • A. Singh
  • V. Goswami
  • C.A. Fitzpatrick
  • P. Bull
  • G. Lipstein
  • T. Nelli
  • R. Zhu
  • N. Muennighoff
  • R. Velioglu
  • J. Rose
  • P. Lippe ORCID logo
  • N. Holla
  • S. Chandra
  • S. Rajamanickam
  • G. Antoniou
  • E. Shutova
  • H. Yannakoudakis
  • V. Sandulescu
  • U. Ozertem
  • P. Pantel
  • L. Specia
  • D. Parikh
Publication date 2021
Journal Proceedings of Machine Learning Research
Event 34th Conference on Neural Information Processing Systems, NeurIPS 2020
Volume | Issue number 133
Pages (from-to) 344-360
Number of pages 17
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract Machine learning and artificial intelligence play an ever more crucial role in mitigating important societal problems, such as the prevalence of hate speech. We describe the Hateful Memes Challenge competition, held at NeurIPS 2020, focusing on multimodal hate speech. The aim of the challenge is to facilitate further research into multimodal reasoning and understanding.
Document type Article
Note Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 6-12 December 2020, Virtual
Language English
Published at http://proceedings.mlr.press/v133/kiela21a.html
Downloads
kiela21a (Final published version)
Permalink to this page
Back