Islamic Question Answering Systems Survey and Evaluation Criteria

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

Metadata

Item Type: Article
Authors/Creators:
  • Alnefaie, S.S.M.
  • Atwell, E.
  • Alsalka, M.A.
Copyright, Publisher and Additional Information: Reproduced with permission from Design for Scientific Renaissance.
Keywords: Islamic Search Tool, Islamic Information Retrieval, Quranic NLP
Dates:
  • Published: March 2023
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

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