---
title: "Who cites DTW at Qur'an QA 2022: Utilising — 5 citing papers"
description: "5 papers of the Elamur Research library cite «DTW at Qur'an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a…"
canonical: "https://research.elamur.ai/free/en/papers/premasiri-2022-dtw-qur-qa-2022-utilising/cited-by/"
---
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# Who cites «DTW at Qur'an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a Low-resource Domain»

5 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «DTW at Qur'an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a Low-resource Domain»](https://md.research.elamur.ai/free/en/papers/premasiri-2022-dtw-qur-qa-2022-utilising/)

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. **[DARES: Dataset for Arabic Readability Estimation of School Materials](https://md.research.elamur.ai/free/en/papers/haj-2024-dares-dataset-arabic-readability-estimation/) [Workshop on Evaluating Text Difficulty in a Multilingual Context](https://md.research.elamur.ai/free/en/venues/determit/)**Mo El-Haj, Sultan Almujaiwel, Damith Premasiri, et al.*2024 · 15 citations*
4. **[ADOR: Dataset for Arabic Dialects in Hotel Reviews: A Human Benchmark for Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/alharbi-2025-ador-dataset-arabic-dialects-hotel/) [Workshop on Advancing NLP for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/lowresnlp/)**Maram I. Alharbi, Saad Ezzini, Hansi Hettiarachchi, et al.*2025 · 6 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/premasiri-2022-dtw-qur-qa-2022-utilising/) — DTW at Qur'an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a Low-resource Domain