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Arabic natural language processing for Qur'anic research: a systematic review
The Qur'an is a fourteen centuries old divine book in Arabic language that is read and
followed by almost two billion Muslims globally as their sacred religious text. With the rise of …
followed by almost two billion Muslims globally as their sacred religious text. With the rise of …
[HTML][HTML] Arabic machine reading comprehension on the Holy Qur'an using CL-AraBERT
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 …
Qur'an to address the lack of Arabic datasets and systems for this important task. We …
Qur'an QA 2023 Shared Task: Overview of Passage Retrieval and Reading Comprehension Tasks over the Holy Qur'an
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 …
and the success of the first Qur'an Question Answering shared task (Qur'an QA 2022 at …
Gof at qur'an qa 2022: Towards an efficient question answering for the holy qu'ran in the arabic language using deep learning-based approach
Recently, significant advancements were achieved in Question Answering (QA) systems in
several languages. However, QA systems in the Arabic language require further research …
several languages. However, QA systems in the Arabic language require further research …
TCE at Qur'an QA 2023 Shared Task: Low Resource Enhanced Transformer-based Ensemble Approach for Qur'anic QA
In this paper, we present our approach to tackle Qur'an QA 2023 shared tasks A and B. To
address the challenge of low-resourced training data, we rely on transfer learning together …
address the challenge of low-resourced training data, we rely on transfer learning together …
DTW at Qur'an QA 2022: Utilising transfer learning with transformers for question answering in a low-resource domain
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 …
natural language understanding of machines. It has gained popularity in the natural …
Stars at qur'an qa 2022: Building automatic extractive question answering systems for the holy qur'an with transformer models and releasing a new dataset
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 …
worldwide, and it provides a guide for their behaviours and daily interactions. Its miraculous …
Qasina: Religious domain question answering using sirah nabawiyah
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 …
with the development of Large Language Model (LLM) such as Chat GPT [1]. LLM can be …
Decoding Queries: An In-Depth Survey of Quality Techniques for Question Analysis in Arabic Question Answering Systems
In the field of natural language processing (NLP), natural language understanding (NLU)
plays a critical role in transforming human languages into machine-interpretable formats …
plays a critical role in transforming human languages into machine-interpretable formats …
ARABIC QUESTION ANSWERING ON THE HOLY QUR'AN
RR Malhas - 2023 - qspace.qu.edu.qa
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 …
Question Answering (QA) system on the Holy Qur'an, given the permanent interest of …