NADI 2022: The Third Nuanced Arabic Dialect Identification Shared Task

Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany, Houda Bouamor, Nizar Habash

Abstract
We describe the findings of the third Nuanced Arabic Dialect Identification Shared Task (NADI 2022). NADI aims at advancing state-of-the-art Arabic NLP, including Arabic dialects. It does so by affording diverse datasets and modeling opportunities in a standardized context where meaningful comparisons between models and approaches are possible. NADI 2022 targeted both dialect identification (Subtask 1) and dialectal sentiment analysis (Subtask 2) at the country level. A total of 41 unique teams registered for the shared task, of whom 21 teams have participated (with 105 valid submissions). Among these, 19 teams participated in Subtask 1, and 10 participated in Subtask 2. The winning team achieved F1=27.06 on Subtask 1 and F1=75.16 on Subtask 2, reflecting that both subtasks remain challenging and motivating future work in this area. We describe the methods employed by the participating teams and offer an outlook for NADI.
Anthology ID:
2022.wanlp-1.9
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:
85–97
Language:
URL:
https://aclanthology.org/2022.wanlp-1.9
DOI:
10.18653/v1/2022.wanlp-1.9
Bibkey:
Cite (ACL):
Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany, Houda Bouamor, and Nizar Habash. 2022. NADI 2022: The Third Nuanced Arabic Dialect Identification Shared Task. In Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP), pages 85–97, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.
Cite (Informal):
NADI 2022: The Third Nuanced Arabic Dialect Identification Shared Task (Abdul-Mageed et al., WANLP 2022)
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PDF:
https://preview.aclanthology.org/ingest-2024-clasp/2022.wanlp-1.9.pdf
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