Like most natural language understanding and generation tasks, state-of-the-art models for
summarization are transformer-based sequence-to-sequence architectures that are …

Text summarization is essential in this fast-growing world to read the information because a
vast amount of information holds various definitions among related contents. Due to this …

Music plays a vital role in human culture and society, serving as a universal form of
expression. However, accurately classifying music emotions remains challenging due to the …

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

Long unpunctuated texts containing complex linguistic sentences are a stumbling block to
processing any low-resource languages. Thus, approaches that attempt to segment lengthy …

This paper explores the risks prevalent in the poultry farming industry, drawing upon an
extensive examination conducted by researchers over the past decade. Employing a …

Research on graph-based automatic text summarization for Arabic, the official language of
26 nations with over 200 million speakers, as well as other prevalent languages, has …

Automated text summarisation is challenging for the Arabic language due to the
performance limitations of existing systems. Hence, our paper focuses on extractive Arabic …

Text simplification is a fundamental unsolved problem for Natural Language Understanding
(NLU) models, which is deemed a hard-to-solve task. Recently, this hard task has aimed to …

Question answering (QA) tasks in natural language processing (NLP) are tricky, particularly
when used with Arabic private documents. This is due to the complexity of Arabic language …