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VIDEO DOI: https://doi.org/10.48448/6ftv-9v23

workshop paper

ACL 2024

August 16, 2024

Bangkok, Thailand

CLTL at ArAIEval Shared Task: Multimodal Propagandistic Memes Classification Using Transformer Models

keywords:

multimodal memes classification

We present the CLTL system designed for the ArAIEval Shared Task 2024 on multimodal propagandistic memes classification in Arabic. The challenge was divided into three subtasks: identifying propagandistic content from textual modality of memes (subtask 2A), from visual modality of memes (subtask 2B), and in a multimodal scenario when both modalities are combined (subtask 2C). We explored various unimodal transformer models for Arabic language processing (subtask 2A), visual models for image processing (subtask 2B), and concatenated text and image embeddings using the Multilayer Perceptron fusion module for multimodal propagandistic memes classification (subtask 2C). Our system achieved 77.96% for subtask 2A, 71.04% for subtask 2B, and 79.80% for subtask 2C, ranking 2nd, 1st, and 3rd on the leaderboard.

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Transcript English (automatic)

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Momtazul Labib and 3 other authors

16 August 2024

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