R Malhas, T Elsayed - Information Processing & Management, 2022 - Elsevier
In this work, we tackle the problem of machine reading comprehension (MRC) on the Holy Qur'an to address the lack of Arabic datasets and systems for this important task. We …
Motivated by the need for intelligent question answering (QA) systems on the Holy Qur'an and the success of the first Qur'an Question Answering shared task (Qur'an QA 2022 at …
A Sleem, EM lotfy Elrefai, MM Matar… - … Tasks on Qur'an QA and …, 2022 - aclanthology.org
Abstract The Holy Qur'an is the most sacred book for more than 1.9 billion Muslims worldwide, and it provides a guide for their behaviours and daily interactions. Its miraculous …
E Aftab, MK Malik - Proceedinsg of the 5th Workshop on Open …, 2022 - aclanthology.org
Question Answering (QA) has enticed the interest of NLP community in recent years. NLP enthusiasts are engineering new Models and fine-tuning the existing ones that can give out …
E Aftab, MK Malik - Journal of King Saud University-Computer and …, 2024 - Elsevier
Question Answering (QA) is a prominent task in the field of Natural Language Processing (NLP) with extensive applications. Recently, there has been a notable surge in research …
Nowadays, Question Answering (QA) tasks receive significant research focus, particularly with the development of Large Language Model (LLM) such as Chat GPT [1]. LLM can be …
M Aloui, H Chouikhi, G Chaabane, H Kchaou… - researchgate.net
The impressive progress in natural language processing (NLP) wouldn't be possible without the equally crucial datasets fueling these massive deep learning models. These datasets …
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 …