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VIDEO DOI: https://doi.org/10.48448/5sbn-1p06

workshop paper

ACL 2024

August 16, 2024

Bangkok, Thailand

Nullpointer at ArAIEval Shared Task: Arabic Propagandist Technique Detection with Token-to-Word Mapping in Sequence Tagging

keywords:

arabicnlp

propaganda detection

sequence tagging

This paper investigates the optimization of propaganda technique detection in Arabic text, including tweets & news paragraphs, from ArAIEval shared task 1. Our approach involves fine-tuning the AraBERT v2 model with a neural network classifier for sequence tagging. Experimental results show relying on the first token of the word for technique prediction produces the best performance. In addition, incorporating genre information as a feature further enhances the model's performance. Our system achieved a score of 25.41, placing us 4th on the leaderboard. Subsequent post-submission improvements further raised our score to 26.68.

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Md. Rafiul Biswas and 2 other authors

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