As more and more Arabic texts emerged on the Internet, extracting important information
from these Arabic texts is especially useful. As a fundamental technology, Named entity …

The rapid progress in deep learning has propelled transformer-based models to the
forefront, establishing them as leading solutions for a multiple NLP tasks. These tasks span …

Large language models (LLMs) have demonstrated impressive performance on various
downstream tasks without requiring fine-tuning, including ChatGPT, a chat-based model …

Chatbots are programs with the ability to understand and respond to natural language in a
way that is both informative and engaging. This study explored the current trends of using …

Pretrained language models have achieved great success in various natural language
understanding (NLU) tasks due to their capacity to capture deep contextualized information …

Developing monolingual large Pre-trained Language Models (PLMs) is shown to be very
successful in handling different tasks in Natural Language Processing (NLP). In this work …

Large Language Models (LLMs) have shown impressive results in multiple domains of
natural language processing (NLP) but are mainly focused on the English language …

With the growing prevalence of Arabic texts, extracting relevant information from these
sources has become increasingly vital. Consequently, there is a pressing demand for …

Automatic readability assessment is relevant to building NLP applications for education,
content analysis, and accessibility. However, Arabic readability assessment is a challenging …

Leveraging Twitter data for crisis management necessitates the accurate, fine-grained
geolocation of tweets, which unfortunately is often lacking, with only 1–3% of tweets being …