@inproceedings{alhuzali-etal-2025-arahealthqa,
title = "{A}ra{H}ealth{QA} 2025: The First Shared Task on {A}rabic Health Question Answering",
author = "Alhuzali, Hassan and
Al-Eisawi, Walid and
Abdul-Mageed, Muhammad and
Abouzahir, Chaimae and
Abu-Daoud, Mouath and
Alasmari, Ashwag and
Al-Monef, Renad and
Alqahtani, Ali and
Ayash, Lama and
Kharouf, Leen and
Shamout, Farah E. and
Habash, Nizar",
editor = "Darwish, Kareem and
Ali, Ahmed and
Abu Farha, Ibrahim and
Touileb, Samia and
Zitouni, Imed and
Abdelali, Ahmed and
Al-Ghamdi, Sharefah and
Alkhereyf, Sakhar and
Zaghouani, Wajdi and
Khalifa, Salam and
AlKhamissi, Badr and
Almatham, Rawan and
Hamed, Injy and
Alyafeai, Zaid and
Alowisheq, Areeb and
Inoue, Go and
Mrini, Khalil and
Alshammari, Waad",
booktitle = "Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.arabicnlp-sharedtasks.18/",
doi = "10.18653/v1/2025.arabicnlp-sharedtasks.18",
pages = "107--118",
ISBN = "979-8-89176-356-2",
abstract = "We introduce AraHealthQA 2025, the Comprehensive Arabic Health Question Answering Shared Task, held in conjunction with ArabicNLP 2025 co-located with EMNLP 2025. This shared task addresses the paucity of high-quality Arabic medical QA resources by offering two complementary tracks: MentalQA, focusing on Arabic mental health Q{\&}A (e.g., anxiety, depression, stigma reduction), and MedArabiQ, covering broader medical domains such as internal medicine, pediatrics, and clinical decision making. Each track comprises multiple subtasks, evaluation datasets, and standardized metrics, facilitating fair benchmarking. The task was structured to promote modeling under realistic, multilingual, and culturally nuanced healthcare contexts. We outline the dataset creation, task design and evaluation framework, participation statistics, baseline systems, and summarize the overall outcomes. We conclude with reflections on the performance trends observed and prospects for future iterations in Arabic health QA."
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%0 Conference Proceedings
%T AraHealthQA 2025: The First Shared Task on Arabic Health Question Answering
%A Alhuzali, Hassan
%A Al-Eisawi, Walid
%A Abdul-Mageed, Muhammad
%A Abouzahir, Chaimae
%A Abu-Daoud, Mouath
%A Alasmari, Ashwag
%A Al-Monef, Renad
%A Alqahtani, Ali
%A Ayash, Lama
%A Kharouf, Leen
%A Shamout, Farah E.
%A Habash, Nizar
%Y Darwish, Kareem
%Y Ali, Ahmed
%Y Abu Farha, Ibrahim
%Y Touileb, Samia
%Y Zitouni, Imed
%Y Abdelali, Ahmed
%Y Al-Ghamdi, Sharefah
%Y Alkhereyf, Sakhar
%Y Zaghouani, Wajdi
%Y Khalifa, Salam
%Y AlKhamissi, Badr
%Y Almatham, Rawan
%Y Hamed, Injy
%Y Alyafeai, Zaid
%Y Alowisheq, Areeb
%Y Inoue, Go
%Y Mrini, Khalil
%Y Alshammari, Waad
%S Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-356-2
%F alhuzali-etal-2025-arahealthqa
%X We introduce AraHealthQA 2025, the Comprehensive Arabic Health Question Answering Shared Task, held in conjunction with ArabicNLP 2025 co-located with EMNLP 2025. This shared task addresses the paucity of high-quality Arabic medical QA resources by offering two complementary tracks: MentalQA, focusing on Arabic mental health Q&A (e.g., anxiety, depression, stigma reduction), and MedArabiQ, covering broader medical domains such as internal medicine, pediatrics, and clinical decision making. Each track comprises multiple subtasks, evaluation datasets, and standardized metrics, facilitating fair benchmarking. The task was structured to promote modeling under realistic, multilingual, and culturally nuanced healthcare contexts. We outline the dataset creation, task design and evaluation framework, participation statistics, baseline systems, and summarize the overall outcomes. We conclude with reflections on the performance trends observed and prospects for future iterations in Arabic health QA.
%R 10.18653/v1/2025.arabicnlp-sharedtasks.18
%U https://aclanthology.org/2025.arabicnlp-sharedtasks.18/
%U https://doi.org/10.18653/v1/2025.arabicnlp-sharedtasks.18
%P 107-118
Markdown (Informal)
[AraHealthQA 2025: The First Shared Task on Arabic Health Question Answering](https://aclanthology.org/2025.arabicnlp-sharedtasks.18/) (Alhuzali et al., ArabicNLP 2025)
ACL
- Hassan Alhuzali, Walid Al-Eisawi, Muhammad Abdul-Mageed, Chaimae Abouzahir, Mouath Abu-Daoud, Ashwag Alasmari, Renad Al-Monef, Ali Alqahtani, Lama Ayash, Leen Kharouf, Farah E. Shamout, and Nizar Habash. 2025. AraHealthQA 2025: The First Shared Task on Arabic Health Question Answering. In Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks, pages 107–118, Suzhou, China. Association for Computational Linguistics.