Fine-tuning Arabic BERT variants on an expanded, rephrased Qur'an QA dataset improves passage retrieval scores, with AraBERT-base reaching MAP@10 0.36 and MRR 0.59.
In: Proceedings of the Sixth Arabic Natural Language Processing Workshop, pp
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Optimized Quran Passage Retrieval Using an Expanded QA Dataset and Fine-Tuned Language Models
Fine-tuning Arabic BERT variants on an expanded, rephrased Qur'an QA dataset improves passage retrieval scores, with AraBERT-base reaching MAP@10 0.36 and MRR 0.59.