NGU CNLP atWANLP 2022 Shared Task: Propaganda Detection in Arabic

Ahmed Samir Hussein, Abu Bakr Soliman Mohammad, Mohamed Ibrahim, Laila Hesham Afify, Samhaa R. El-Beltagy

Abstract
This paper presents the system developed by the NGU_CNLP team for addressing the shared task on Propaganda Detection in Arabic at WANLP 2022. The team participated in the shared tasks’ two sub-tasks which are: 1) Propaganda technique identification in text and 2) Propaganda technique span identification. In the first sub-task, the goal is to detect all employed propaganda techniques in some given piece of text out of a possible 17 different techniques or to detect that no propaganda technique is being used in that piece of text. As such, this first sub-task is a multi-label classification problem with a pool of 18 possible labels. Subtask 2 extends sub-task 1, by requiring the identification of the exact text span in which a propaganda technique was employed, making it a sequence labeling problem. For task 1, a combination of a data augmentation strategy coupled with an enabled transformer-based model comprised our classification model. This classification model ranked first amongst the 14 systems participating in this subtask. For sub-task two, a transfer learning model was adopted. The system ranked third among the 3 different models that participated in this subtask.
Anthology ID:
2022.wanlp-1.66
Volume:
Proceedings of the The Seventh Arabic Natural Language Processing Workshop (WANLP)
Month:
December
Year:
2022
Address:
Abu Dhabi, United Arab Emirates (Hybrid)
Venue:
WANLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
545–550
Language:
URL:
https://aclanthology.org/2022.wanlp-1.66
DOI:
10.18653/v1/2022.wanlp-1.66
Bibkey:
Cite (ACL):
Ahmed Samir Hussein, Abu Bakr Soliman Mohammad, Mohamed Ibrahim, Laila Hesham Afify, and Samhaa R. El-Beltagy. 2022. NGU CNLP atWANLP 2022 Shared Task: Propaganda Detection in Arabic. In Proceedings of the The Seventh Arabic Natural Language Processing Workshop (WANLP), pages 545–550, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.
Cite (Informal):
NGU CNLP atWANLP 2022 Shared Task: Propaganda Detection in Arabic (Hussein et al., WANLP 2022)
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