As Arabic digital data has been increasing in abundance; the need for processing this information is growing. Named entity recognition (NER) is an information extraction technique that is vital to the processes of natural ...

hildren with hearing impairments (HI) often face many educational, communicational and societal challenges. Arabic Natural Language Processing can be used to develop several key technologies that may alleviate cognitive ...

In this dissertation,we address the need for an intelligent machine reading at scale (MRS) Question Answering (QA) system on the Holy Qur'an, given the permanent interest of inquisitors and knowledge seekers in this sacred ...

In this paper, the design of a speech-controlled wheelchair is presented. The main motivation for this design came through the feedback from personal experiences of several colleagues as well as rehabilitation centers of ...

Internet-enabled Mobile devices are increasingly used for enhancing the learning experience particularly for language learning. They can be exploited to allow learners to access and interact with multimedia learning resources ...

The importance of bone scaffolds has increased many folds in the last few years; however, during bone implantation, bacterial infections compromise the implantation and tissue regeneration. This work is focused on this ...

We introduce AraFacts, the first large Arabic dataset of naturally-occurring claims collected from 5 Arabic fact-checking websites, e.g., Fatabyyano and Misbar, covering claims since 2016. Our dataset consists of 6,222 ...

In this paper we describe the current state of the ARAP project on Arabic Author Profiling for Cyber-Security funded by the Qatar National Research Fund via the Carnegie Mellon University in Qatar. The project focuses on ...

The potential productivity of calcareous soils is high when adequate nutrients can be available. However, these soils are frequently deficient in nitrogen (N) and phosphorus (P) and cannot meet plant nutrient requirements. ...