In this dissertation, we address the need for an intelligent machine reading at scale (MRS)
Question Answering (QA) system on the Holy Qur'an, given the permanent interest of …

The Qur'an QA 2023 shared task has two sub tasks: Passage Retrieval (PR) task and
Machine Reading Comprehension (MRC) task. Our participation in the PR task was to …

Passage ranking is arguably one of the most important natural text-processing tasks. It is
based on retrieving a passage from a larger corpus that contains an answer to a specific …

Studies have shown the promising performance of transformer-based models in machine
reading comprehension task. However, the performance of these models has not been …

In this research, we investigated GPT-4 as a question-answering model for the Holy Quran.
As a first step, we built the Quran question–answer pair (QUQA) dataset, comprising 2,189 …

Question-and-answer datasets are essential in many fields, including questions related to
the Quran, but there is still a lack of a Quran question-and-answer corpus. Therefore, this …

In the past, researchers in Islamic question-answering systems created their datasets to
evaluate their systems due to the lack of the dataset, making it difficult to compare the …

It is neither possible nor fair to compare the performance of question-answering systems for
the Holy Quran and Hadith Sharif in Arabic due to both the absence of a golden test dataset …

In recent years, Artificial Intelligence (AI) has witnessed a breakthrough that has
revolutionized our lives with the advent of smart assistants and cutting-edge search engines …

Quran is the holy book of Muslims that was reviled on the last Prophet Muhammad (PBUH).
It contains the complete code of life not only for Muslims but also for mankind. Quran is also …