PERTANIKA JOURNAL OF SOCIAL SCIENCES AND HUMANITIES

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• Howard, J., & Ruder, S. (2018). Universal language model fine-tuning for text classification. arXiv Preprint. https://doi.org/10.18653/v1/P18-1031

• Luong, M. T., Pham, H., & Manning, C. D. (2015). Effective approaches to attention-based neural machine translation. arXiv Preprint. https://doi.org/10.18653/v1/D15-1166

• Magooda, A., Sayed, A. M., Mahgoub, A. Y., Ahmed, H., Rashwan, M., Raafat, H., Kamal, E., & & Al Sallab, A. A. (2016). RDI_Team at SemEval-2016 Task 3: RDI unsupervised framework for text ranking. In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016) (pp. 822-827). ACM Publishing. https://doi.org/10.18653/v1/S16-1127

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• Rashwan, M. A., Al Sallab, A. A., Raafat, H. M., & Rafea, A. (2015). Deep learning framework with confused sub-set resolution architecture for automatic Arabic diacritization. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 23(3), 505-516. https://doi.org/10.1109/TASLP.2015.2395255

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