Abstract
Arabic propaganda detection in Arabic was carried out using transformers pre-trained models ARBERT, MARBERT. They were fine-tuned for the down-stream task in hand ‘subtask 1’, multilabel classification of Arabic tweets. Submitted model was MARBERT the got 0.597 micro F1 score and got the fifth rank.- Anthology ID:
- 2022.wanlp-1.59
- Volume:
- Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)
- Month:
- December
- Year:
- 2022
- Address:
- Abu Dhabi, United Arab Emirates (Hybrid)
- Editors:
- Houda Bouamor, Hend Al-Khalifa, Kareem Darwish, Owen Rambow, Fethi Bougares, Ahmed Abdelali, Nadi Tomeh, Salam Khalifa, Wajdi Zaghouani
- Venue:
- WANLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 511–514
- Language:
- URL:
- https://aclanthology.org/2022.wanlp-1.59
- DOI:
- 10.18653/v1/2022.wanlp-1.59
- Cite (ACL):
- Bilel - Taboubi, Bechir Brahem, and Hatem Haddad. 2022. iCompass at WANLP 2022 Shared Task: ARBERT and MARBERT for Multilabel Propaganda Classification of Arabic Tweets. In Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP), pages 511–514, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.
- Cite (Informal):
- iCompass at WANLP 2022 Shared Task: ARBERT and MARBERT for Multilabel Propaganda Classification of Arabic Tweets (Taboubi et al., WANLP 2022)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2022.wanlp-1.59.pdf