@inproceedings{malhas-etal-2023-quran,
title = "Qur{'}an {QA} 2023 Shared Task: Overview of Passage Retrieval and Reading Comprehension Tasks over the Holy Qur{'}an",
author = "Malhas, Rana and
Mansour, Watheq and
Elsayed, Tamer",
editor = "Sawaf, Hassan and
El-Beltagy, Samhaa and
Zaghouani, Wajdi and
Magdy, Walid and
Abdelali, Ahmed and
Tomeh, Nadi and
Abu Farha, Ibrahim and
Habash, Nizar and
Khalifa, Salam and
Keleg, Amr and
Haddad, Hatem and
Zitouni, Imed and
Mrini, Khalil and
Almatham, Rawan",
booktitle = "Proceedings of ArabicNLP 2023",
month = dec,
year = "2023",
address = "Singapore (Hybrid)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.arabicnlp-1.76",
doi = "10.18653/v1/2023.arabicnlp-1.76",
pages = "690--701",
abstract = "Motivated by the need for intelligent question answering (QA) systems on the Holy Qur{'}an and the success of the first Qur{'}an Question Answering shared task (Qur{'}an QA 2022 at OSACT 2022), we have organized the second version at ArabicNLP 2023. The Qur{'}an QA 2023 is composed of two sub-tasks: the passage retrieval (PR) task and the machine reading comprehension (MRC) task. The main aim of the shared task is to encourage state-of-the-art research on Arabic PR and MRC on the Holy Qur{'}an. Our shared task has attracted 9 teams to submit 22 runs for the PR task, and 6 teams to submit 17 runs for the MRC task. In this paper, we present an overview of the task and provide an outline of the approaches employed by the participating teams in both sub-tasks.",
}
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<abstract>Motivated by the need for intelligent question answering (QA) systems on the Holy Qur’an and the success of the first Qur’an Question Answering shared task (Qur’an QA 2022 at OSACT 2022), we have organized the second version at ArabicNLP 2023. The Qur’an QA 2023 is composed of two sub-tasks: the passage retrieval (PR) task and the machine reading comprehension (MRC) task. The main aim of the shared task is to encourage state-of-the-art research on Arabic PR and MRC on the Holy Qur’an. Our shared task has attracted 9 teams to submit 22 runs for the PR task, and 6 teams to submit 17 runs for the MRC task. In this paper, we present an overview of the task and provide an outline of the approaches employed by the participating teams in both sub-tasks.</abstract>
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%0 Conference Proceedings
%T Qur’an QA 2023 Shared Task: Overview of Passage Retrieval and Reading Comprehension Tasks over the Holy Qur’an
%A Malhas, Rana
%A Mansour, Watheq
%A Elsayed, Tamer
%Y Sawaf, Hassan
%Y El-Beltagy, Samhaa
%Y Zaghouani, Wajdi
%Y Magdy, Walid
%Y Abdelali, Ahmed
%Y Tomeh, Nadi
%Y Abu Farha, Ibrahim
%Y Habash, Nizar
%Y Khalifa, Salam
%Y Keleg, Amr
%Y Haddad, Hatem
%Y Zitouni, Imed
%Y Mrini, Khalil
%Y Almatham, Rawan
%S Proceedings of ArabicNLP 2023
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore (Hybrid)
%F malhas-etal-2023-quran
%X Motivated by the need for intelligent question answering (QA) systems on the Holy Qur’an and the success of the first Qur’an Question Answering shared task (Qur’an QA 2022 at OSACT 2022), we have organized the second version at ArabicNLP 2023. The Qur’an QA 2023 is composed of two sub-tasks: the passage retrieval (PR) task and the machine reading comprehension (MRC) task. The main aim of the shared task is to encourage state-of-the-art research on Arabic PR and MRC on the Holy Qur’an. Our shared task has attracted 9 teams to submit 22 runs for the PR task, and 6 teams to submit 17 runs for the MRC task. In this paper, we present an overview of the task and provide an outline of the approaches employed by the participating teams in both sub-tasks.
%R 10.18653/v1/2023.arabicnlp-1.76
%U https://aclanthology.org/2023.arabicnlp-1.76
%U https://doi.org/10.18653/v1/2023.arabicnlp-1.76
%P 690-701
Markdown (Informal)
[Qur’an QA 2023 Shared Task: Overview of Passage Retrieval and Reading Comprehension Tasks over the Holy Qur’an](https://aclanthology.org/2023.arabicnlp-1.76) (Malhas et al., ArabicNLP-WS 2023)
ACL