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Al-Bayan: An Arabic Question Answering System for the Holy Quran
Abstract
Recently, Question Answering (QA) has been one of the main focus of natural lan-guage processing research. However, Ara-bic Question Answering is still not in the mainstream. The challenges of the Arabic language and the lack of resources have made it difficult to provide Arabic QA sys-tems with high accuracy. While low accu-racies may be accepted for general purpose systems, it is critical in some fields such as religious affairs. Therefore, there is a need for specialized accurate systems that target these critical fields. In this paper, we pro-pose Al-Bayan, a new Arabic QA system specialized for the Holy Quran. The sys-tem accepts an Arabic question about the Quran, retrieves the most relevant Quran verses, then extracts the passage that con-tains the answer from the Quran and its interpretation books (Tafseer). Evaluation results on a collected dataset show that the overall system can achieve 85 % accuracy using the top-3 results. 1
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Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious Questions
Atif, F., Askarbekuly, N., Darwish, K., & Choudhury, M. (2025) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society · doi:10.1609/aies.v8i1.36543 · Cited by 2
Metadata
- Authors
- Abdelnasser, H., Ragab, M., Mohamed, R., Mohamed, A., Farouk, B., El-Makky, N., & Torki, M.
- Venue
- Proceedings of the EMNLP 2014 Workshop on Arabic Natural Language Processing (ANLP)
- Published
- 2014
- Pages
- 57-64
- OpenAlex
- W2251102620
- Cited by
- 73
- References
- 0
- Citations by year
- 2026: 5 · 2025: 2 · 2024: 5 · 2023: 7 · 2022: 4 · 2021: 9 · 2020: 9 · 2019: 5 · 2018: 7 · 2017: 7 · 2016: 8 · 2015: 5
- FWCI
- 3.84
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Arabic Natural Language Processing Workshop (WANLP) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Keywords
- Arabic question answering, Quran, Quranic exegesis, Arabic language processing
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