DTW at Qur'an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a Low-resource Domain. (arXiv:2205.06025v1 [cs.CL])

The task of machine reading comprehension (MRC) is a useful benchmark to
evaluate the natural language understanding of machines. It has gained
popularity in the natural language processing (NLP) field mainly due to the
large number of datasets released for many languages. However, the research in
MRC has been understudied in several domains, including religious texts. The
goal of the Qur'an QA 2022 shared task is to fill this gap by producing
state-of-the-art question answering and reading comprehension research on …

arxiv learning qa question answering transfer transfer learning transformers