---
title: "Who cites Stars at Qur'an QA 2022: Building — 4 citing papers"
description: "4 papers of the Elamur Research library cite «Stars at Qur'an QA 2022: Building Automatic Extractive Question Answering Systems for the…"
canonical: "https://research.elamur.ai/free/en/papers/sleem-2022-stars-qur-qa-2022-building/cited-by/"
---
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# Who cites «Stars at Qur'an QA 2022: Building Automatic Extractive Question Answering Systems for the Holy Qur'an with Transformer Models and Releasing a New Dataset»

4 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «Stars at Qur'an QA 2022: Building Automatic Extractive Question Answering Systems for the Holy Qur'an with Transformer Models and Releasing a New Dataset»](https://md.research.elamur.ai/free/en/papers/sleem-2022-stars-qur-qa-2022-building/)

1. **[Qur'an QA 2023 Shared Task: Overview of Passage Retrieval and Reading Comprehension Tasks over the Holy Qur'an](https://md.research.elamur.ai/free/en/papers/malhas-2023-qur-qa-2023-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Rana Malhas, Watheq Mansour, Tamer Elsayed*2023 · 33 citations*
2. **[Qur'an QA 2022: Overview of The First Shared Task on Question Answering over the Holy Qur'an](https://md.research.elamur.ai/free/en/papers/malhas-2022-qur-qa-2022-overview-first/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Rana Malhas, Watheq Mansour, Tamer Elsayed*2022 · 32 citations*
3. **[HAQA and QUQA: Constructing Two Arabic Question-Answering Corpora for the Quran and Hadith](https://md.research.elamur.ai/free/en/papers/alnefaie-2023-haqa-quqa-constructing-two-arabic/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Sarah Alnefaie, Eric Atwell, Mohammad Ammar Alsalka*2023 · 11 citations*

1 more paper of our library cites it; it has no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/sleem-2022-stars-qur-qa-2022-building/) — Stars at Qur'an QA 2022: Building Automatic Extractive Question Answering Systems for the Holy Qur'an with Transformer Models and Releasing a New Dataset