id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
hij-846	Ait Talghalit, Ismail; Alami, Hamza; El Alaoui, Said Ouatik	Contextual Semantic Embeddings Based on Transformer Models for Arabic Biomedical Questions Classification	2024	14	.pdf	application/pdf	7809	486	48	The results confirm that transformer-based models are better for Arabic biomedical question classification because of their capacity to collect complex contextual data of text. However, mBERT, XLM-RoBERTa, and multilingual DistilBERT provided equally promising results for Arabic biomedical question classification.	cache/hij-846.pdf	txt/hij-846.txt