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SI2M & AIOX Labs at WANLP 2022 Shared Task: Propaganda Detection in Arabic, A Data Augmentation and Name Entity Recognition Approach

Article scientifique 2022 Anglais

Résumé

This paper presents SI2M & AIOX Labs work among the propaganda detection in Arabic text shared task.The objective of this challenge is to identify the propaganda techniques used in specific propaganda fragments.We use a combination of data augmentation, Named Entity Recognition, rule-based repetition detection, and ARBERT prediction to develop our system.The model we provide scored 0.585 micro F1-Score and ranked 6th out of 14 teams.

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Gaanoun, K., Benelallam, I. (2022). SI2M & AIOX Labs at WANLP 2022 Shared Task: Propaganda Detection in Arabic, A Data Augmentation and Name Entity Recognition Approach. https://doi.org/10.18653/v1/2022.wanlp-1.58

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Auteur(s)

Kamel Gaanoun Imade Benelallam

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