Items where authors include "Alsalka, MA"

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Number of items: 11.

Article

Alnefaie, S, Atwell, E and Alsalka, MA (2022) Challenges in the Islamic Question Answering Corpora. International Journal on Islamic Applications in Computer Science And Technology, 10 (4). pp. 1-10. ISSN 2289-4012

Tarmom, T orcid.org/0000-0002-2834-461X, Teahan, W, Atwell, E orcid.org/0000-0001-9395-3764 et al. (1 more author) (2020) Compression versus traditional machine learning classifiers to detect code-switching in varieties and dialects: Arabic as a case study. Natural Language Engineering, 26 (6). pp. 663-676. ISSN 1351-3249

Tarmom, T orcid.org/0000-0002-2834-461X, Atwell, E orcid.org/0000-0001-9395-3764 and Alsalka, MA (2020) Non-authentic Hadith Corpus: Design and Methodology. International Journal on Islamic Applications in Computer Science And Technology, 8 (3). pp. 13-19. ISSN 2289-4012

Proceedings Paper

Althabiti, S orcid.org/0000-0002-4646-0577, Alsalka, MA and Atwell, E orcid.org/0000-0001-9395-3764 (2022) SCUoL at CheckThat! 2022: Fake News Detection Using Transformer-Based Models. In: CEUR Workshop Proceedings. CLEF 2022 - Conference and Labs of the Evaluation Forum, 05-08 Sep 2022, Bologna, Italy. CEUR Workshop Proceedings , pp. 428-433.

Alsaleh, A, Althabiti, S, Alshammari, I et al. (6 more authors) (2022) LK2022 at Qur’an QA 2022: Simple Transformers Model for Finding Answers to Questions from Qur’an. In: Proceedings of the OSACT 2022 Workshop. OSACT'2022 Open-Source Arabic Corpora and Processing Tools, 20 Jun 2022, Marseille, France. ELRA European Language Resources Association , pp. 120-125. ISBN 979-10-95546-75-7

Alshammari, IK orcid.org/0000-0002-7619-373X, Atwell, E orcid.org/0000-0001-9395-3764 and Alsalka, MA orcid.org/0000-0003-3335-1918 (2022) Automatic Mapping of Quranic Ontologies Using RML and Cellfie Plugin. In: Natural Language Processing and Information Systems. NLDB 2022: The 27th International Conference on Natural Language & Information Systems, 15-17 Jun 2022, Valencia, Spain. Springer , pp. 307-314. ISBN 978-3-031-08472-0

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) Classifying Verses of the Quran using Doc2vec. In: ACL Anthology. The 18th International Conference on Natural Language Processing (ICON2021), 16-19 Dec 2021, Online. NLP Association of India (NLPAI) , National Institute of Technology Silchar, Silchar, India , pp. 284-288.

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 .

Alshammeri, M, Atwell, E orcid.org/0000-0001-9395-3764 and Alsalka, MA (2021) Detecting Semantic-based Similarity Between Verses of The Quran with Doc2vec. In: Procedia Computer Science. Fifth International Conference On AI In Computational Linguistics, 04-05 Jun 2021, Virtual. Elsevier , pp. 351-358.

Tarmom, T orcid.org/0000-0002-2834-461X, Atwell, E orcid.org/0000-0001-9395-3764 and Alsalka, MA orcid.org/0000-0003-3335-1918 (2020) Automatic Hadith Segmentation using PPM Compression. In: Bhattacharyya, P, Sharma, DM and Sangal, R, (eds.) Proceedings of the 17th International Conference on Natural Language Processing (ICON). 17th International Conference on Natural Language Processing (ICON), 18-21 Dec 2020, Patna, India. NLP Association of India (NLPAI) , pp. 22-29.

Alshammeri, M, Atwell, E orcid.org/0000-0001-9395-3764 and Alsalka, MA orcid.org/0000-0003-3335-1918 (2020) Quranic Topic Modelling Using Paragraph Vectors. In: Advances in Intelligent Systems and Computing. 2020 Intelligent Systems Conference (IntelliSys), 03-04 Sep 2020, Online. Springer Verlag , pp. 218-230. ISBN 978-3-030-55186-5

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