@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://preview.aclanthology.org/ingest-emnlp/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."
}