Cited by 73Natural Language Processing TechniquesTopic ModelingInformation Retrieval and Search Behavior

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Al-Bayan: An Arabic Question Answering System for the Holy Quran

Abdelnasser, Heba, Ragab, Maha, Mohamed, Reham, Mohamed, Alaa, Farouk, Bassant, El-Makky, Nagwa, Torki, Marwan·2014·Proceedings of the EMNLP 2014 Workshop on Arabic Natural Language Processing (ANLP)

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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Crossref · 10.3115/v1/w14-3607

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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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