Alnefaie, S.S.M., Atwell, E. and Alsalka, M.A. (2023) Islamic Question Answering Systems Survey and Evaluation Criteria. International Journal on Islamic Applications in Computer Science And Technology, 11 (1). pp. 9-18. ISSN 2289-4012
Abstract
Many researchers built Islamic question-answering systems which find the answer to the question from the Quran, Hadith, or Fatwa text using only efficient retrieval techniques. However, it is challenging to answer all kinds of questions due to the current shortcomings in natural language processing tools. Therefore, in this paper, we review the Islamic questionanswering systems that can answer all kinds of questions by building a questions and answers corpus and then using the retrieval technique or pre-training model to answer the user's question. After that, we use thirteen evaluation criteria, such as the search approaches and the system scope, to evaluate these systems. We can conclude from this survey that there are flaws in the existing systems, such as all these systems being unavailable and can answer a limited number of questions.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Reproduced with permission from Design for Scientific Renaissance. |
Keywords: | Islamic Search Tool, Islamic Information Retrieval, Quranic NLP |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 19 Dec 2023 11:52 |
Last Modified: | 28 Feb 2024 14:56 |
Published Version: | http://www.sign-ific-ance.co.uk/index.php/IJASAT/a... |
Status: | Published |
Publisher: | Design For Scientific Renaissance |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:206757 |