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LKAU23 at Qur'an QA 2023: Using Transformer Models for Retrieving Passages and Finding Answers to Questions from the Qur'an.

, , , , and . ArabicNLP, page 720-727. Association for Computational Linguistics, (2023)

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WEKA in Forensic Authorship Analysis: A corpus-based approach of Saudi Authors., and . ICON, page 257-260. NLP Association of India (NLPAI), (2020)Automatic Hadith Segmentation using PPM Compression., , and . ICON, page 22-29. NLP Association of India (NLPAI), (2020)The Semantic Annotation of the Quran Corpus Based on Hierarchical Network of Concepts Theory., , and . IALP, page 318-321. IEEE, (2018)HAQA and QUQA: Constructing Two Arabic Question-Answering Corpora for the Quran and Hadith., , and . RANLP, page 90-97. INCOMA Ltd., Shoumen, Bulgaria, (2023)Le Regroupement de Types de Mots et l'Unification d'Occurrences de Mots dans des Catégories grammaticales de mots (Clustering of Word Types and Unification of Word Tokens into Grammatical Word-Classes).. TALN (Posters), page 7-12. ATALA, (2004)Generative AI for Explainable Automated Fact Checking on the FactEx: A New Benchmark Dataset., , and . MISDOOM, volume 14397 of Lecture Notes in Computer Science, page 1-13. Springer, (2023)Deep Learning vs Compression-Based vs Traditional Machine Learning Classifiers to Detect Hadith Authenticity., , and . SIMBig, volume 1577 of Communications in Computer and Information Science, page 206-222. Springer, (2021)Constructing a Bilingual Hadith Corpus Using a Segmentation Tool., , and . LREC, page 3390-3398. European Language Resources Association, (2020)The Automated Evaluation of Inferred Word Classifications., and . ECAI, page 535-539. John Wiley and Sons, Chichester, (1994)SCUoL at CheckThat!-2022: Fake News Detection Using Transformer-Based Models., , and . CLEF (Working Notes), volume 3180 of CEUR Workshop Proceedings, page 428-433. CEUR-WS.org, (2022)