As more and more Arabic textual information becomes available through the Web in homes
and businesses, via Internet and Intranet services, there is an urgent need for technologies …

This paper proposed an approach for Arabic text summarization. Text summarization is one
of the natural language processing's applications which is used for reducing the original text …

Automatic text summarization is considered as an important task in various fields in natural
language processing such as information retrieval. It is a process of automatically …

Named entity recognition (NER) is an important natural language processing (NLP) task with
many applications. We tackle the problem of Arabic NER using deep learning based on …

Text summarization has been a field of intensive research over the last 50 years, especially
for commonly-used and relatively simple-grammar languages such as English. Moreover …

Named entity recognition (NER) plays a significant role in many applications such as
information extraction, information retrieval, question answering, and even machine …

In this article, the topic of Arabic automatic text summarization (AATS) techniques is
discussed, which involves extracting significant information from lengthy texts. The vast …

The unprecedented growth in the amount of online information available in many languages
to users and businesses, including news articles and social media, has made it difficult and …

Rule-based approaches are using human-made rules to extract Named Entities (NEs), it is
one of the most famous ways to extract NE as well as Machine Learning. The term Named …

A Hadith is a report of the deeds or sayings of the prophet Muhammad. Each of these reports
were orally transmitted from one person to another till it reached a person who recorded the …