An Arabic question generation system based on a shared BERT-base encoder-decoder architecture
A Question Generation System (QGS) is a sophisticated piece of AI technology designed to automatically generate questions from a given text, document, or context. Recently, this technology has gained significant attention in various fields, including education, and content creation. As AI continues to evolve, these systems are likely to become even more advanced and viewed as an inherent part of any modern e-learning or knowledge assessment system. In this research paper, we showcase the effectiveness of leveraging pre-trained checkpoints for Arabic questions generat