Predicting student academic performance accurately is essential and allows for timely interventions and datasupported educational decision-making. However, the black-box nature of state-of-the-art machine learning modelshinders their use in policy-sensitive educational settings, where interpretability and accountabilit...
M. Nasar, M. A. Kausar· International Journal of Mod...· 0 citations
ArabCulture-Dialogue is introduced, a culturally grounded conversational dataset covering 13 Arabic-speaking countries, in both MSA and each country’s respective dialect, spanning 12 daily-life topics and 54 fine-grained subtopics, to address the performance gap between MSA and Arabic dialects.
M. Dehan, Aldry Kautsar, SaeedAlmheiri et al.· 0 citations
The main contribution of the proposed model is therefore not absolute superiority over large transformer models, but an improved balance between accuracy, interpretability, and computational efficiency for resource-constrained ABSA applications.
M. A. Kausar, M. Nasar, Sallam O. F. Khairy et al.· Journal of Computers, Mechan...· 0 citations
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