A survey on machine reading comprehension systems
Machine Reading Comprehension (MRC) is a challenging task and hot topic in Natural
Language Processing. The goal of this field is to develop systems for answering the …
Language Processing. The goal of this field is to develop systems for answering the …
Text stemming: Approaches, applications, and challenges
Stemming is a process in which the variant word forms are mapped to their base form. It is
among the basic text pre-processing approaches used in Language Modeling, Natural …
among the basic text pre-processing approaches used in Language Modeling, Natural …
Arabicaqa: A comprehensive dataset for arabic question answering
In this paper, we address the significant gap in Arabic natural language processing (NLP)
resources by introducing ArabicaQA, the first large-scale dataset for machine reading …
resources by introducing ArabicaQA, the first large-scale dataset for machine reading …
[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 …
Neural Arabic question answering
H Mozannar, KE Hajal, E Maamary, H Hajj - ar** an Arabic question answering system
The question-answering system (QAS) aims to produce a response to a query using
information from a text corpus. Arabic is a complex language. However, it has more than 450 …
information from a text corpus. Arabic is a complex language. However, it has more than 450 …