A Siamese Transformer-based Architecture for Detecting Semantic Similarity in the Quran

Alshammeri, M orcid.org/0000-0002-4645-3991, Atwell, E orcid.org/0000-0001-9395-3764 and Alsalka, MA orcid.org/0000-0003-3335-1918 (2021) A Siamese Transformer-based Architecture for Detecting Semantic Similarity in the Quran. In: The International Journal on Islamic Applications in Computer Science And Technology - IJASAT. 9th International Conference on Islamic Applications in Computer Science and Technologies (IMAN 2021), 04-05 Dec 2021, Online. Design For Scientific Renaissance .

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Copyright, Publisher and Additional Information: This is protected by copyright. All rights reserved. This is an author produced version of an article published in The International Journal on Islamic Applications in Computer Science And Technology. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: The Quran, Semantic Similarity, Transformer, Pre-trained Contextual Representations, Siamese Transformer-Networks, AraBERT, SBERT
Dates:
  • Accepted: 30 October 2021
  • Published: December 2021
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: 04 Jan 2022 14:50
Last Modified: 12 May 2022 15:40
Published Version: http://www.sign-ific-ance.co.uk/index.php/IJASAT/i...
Status: Published
Publisher: Design For Scientific Renaissance

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