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2022 EMNLP EMNLP 2022

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

Abstract

AbstractThis 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, Name 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 12 teams.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Kamel Gaanoun, Imade Benelallam

Topics

Machine Learning > Core Methods > Classification Machine Learning > Application Areas > Data Augmentation Natural Language Processing > Understanding > Named Entity Recognition Natural Language Processing > Applications > Text Classification

Keywords

text classification data augmentation named entity recognition propaganda detection transformer model rule-based detection propaganda technique identification
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