🔗 Who cites «GOF at Qur'an QA 2022: Towards an Efficient Question Answering For The Holy Qu'ran In The Arabic Language Using Deep Learning-Based Approach»

4 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 «GOF at Qur'an QA 2022: Towards an Efficient Question Answering For The Holy Qu'ran In The Arabic Language Using Deep Learning-Based Approach»

1. Qur'an QA 2023 Shared Task: Overview of Passage Retrieval and Reading Comprehension Tasks over the Holy Qur'anArabic Natural Language Processing Conference (ArabicNLP)Rana Malhas, Watheq Mansour, Tamer Elsayed2023 · 33 citations
2. Qur'an QA 2022: Overview of The First Shared Task on Question Answering over the Holy Qur'anWorkshop on Open-Source Arabic Corpora and Processing Tools with Shared TasksRana Malhas, Watheq Mansour, Tamer Elsayed2022 · 32 citations
3. TCE at Qur'an QA 2023 Shared Task: Low Resource Enhanced Transformer-based Ensemble Approach for Qur'anic QAArabic Natural Language Processing Conference (ArabicNLP)Mohammed Elkomy, Amany Sarhan2023 · 11 citations
4. ADAPT–MTU HAI at PalmX 2025: Leveraging Full and Parameter-Efficient LLM Fine-Tuning for Arabic Cultural QAArabic Natural Language Processing Conference (ArabicNLP)Shehenaz Hossain, Haithem Afli2025 · 1 citation

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