VL-BERT+: detecting protected groups in hateful multimodal memes
Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021), 2021•aclanthology.org
This paper describes our submission (winning solution for Task A) to the Shared Task on
Hateful Meme Detection at WOAH 2021. We build our system on top of a state-of-the-art
system for binary hateful meme classification that already uses image tags such as race,
gender, and web entities. We add further metadata such as emotions and experiment with
data augmentation techniques, as hateful instances are underrepresented in the data set.
Hateful Meme Detection at WOAH 2021. We build our system on top of a state-of-the-art
system for binary hateful meme classification that already uses image tags such as race,
gender, and web entities. We add further metadata such as emotions and experiment with
data augmentation techniques, as hateful instances are underrepresented in the data set.
Abstract
This paper describes our submission (winning solution for Task A) to the Shared Task on Hateful Meme Detection at WOAH 2021. We build our system on top of a state-of-the-art system for binary hateful meme classification that already uses image tags such as race, gender, and web entities. We add further metadata such as emotions and experiment with data augmentation techniques, as hateful instances are underrepresented in the data set.
aclanthology.org
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