In recent years, the volume of textual data has rapidly increased, which has generated a
valuable resource for extracting and analysing information. To retrieve useful knowledge …

Recently, the number of online documents witness huge increase in volume. Thus, these
documents need to be summarized in order to be effective. This paper reviews the most …

In this paper, an abstractive Arabic text summarization model that is based on sequence-to-
sequence recurrent neural networks is proposed. It consists of a multilayer encoder and …

In recent years, the utilization of natural language processing (NLP) and Machine Learning
(ML) techniques in clinical decision support systems have shown their ability in improving …

Abstractive text summarisation is essential to producing natural language summaries with
main ideas from large text documents. Despite the success of English language-based …

This study proposes a novel semantic graph embedding-based abstractive text
summarization technique for the Arabic language, namely SemG-TS. SemG-TS employs a …

Arabic Natural language processing (ANLP) is a subfield of artificial intelligence (AI) that
tries to build various applications in the Arabic language like Arabic sentiment analysis …

As the evolution of wireless communications advances rapidly, the next-generation (NextG)
networks have undeniably become integral components of modern society. However, given …

The airline industry faces with significant competition due to the rise of technology
innovation and diversified customer needs. Therefore, continuous quality management is …

Healthcare organizations rely on patients' feedback and experiences to evaluate their
performance and services, thereby allowing such organizations to improve inadequate …