Sean, Benhur and Kanchana, Sivanraju (2022) Transformers at SemEval-2022 Task 5: A Feature Extraction based Approach for Misogynous Meme Detection. Proceedings of the 16th International Workshop on Semantic Evaluation. pp. 550-554.

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Abstract

Social media is an idea created to make the
world smaller and more connected. Recently,
it has become a hub of fake news and sexist
memes that target women. Social Media should
ensure proper women’s safety and equality. Filtering such information from social media is of
paramount importance to achieving this goal.
In this paper, we describe the system developed
by our team for SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification. We
propose a multimodal training methodology
that achieves good performance on both the subtasks, ranking 4th for Subtask A (0.718 macro
F1-score) and 9th for Subtask B (0.695 macro
F1-score) while exceeding the baseline results
by good margins. The code will be available
here1

Item Type: Article
Depositing User: Mr Team Mosys
Date Deposited: 20 Oct 2022 05:56
Last Modified: 20 Oct 2022 05:56
URI: http://ir.psgcas.ac.in/id/eprint/1599

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