Abstract Named Entity Recognition (NER), one of the most fundamental problems in natural
language processing, seeks to identify the boundaries and types of entities with specific …

The web is being loaded daily with a huge volume of data, mainly unstructured textual data,
which increases the need for information extraction and NLP systems significantly. Named …

The vast amount of unstructured data spread on a daily basis rises the need for develo**
effective information retrieval and extraction methods. Named Entity Recognition is a …

Arabic text classification is a process to simultaneously categorize the different contextual
Arabic contents into a proper category. In this paper, a novel deep learning Arabic text …

Named entity recognition (NER) is fundamental in several natural language processing
applications. It involves finding and categorizing text into predefined categories such as a …

Hadith is a set of Islamic byelaws based on the teachings in the holy Quran. Arabic natural
language processing (ANLP) tools possess features, which are mainly used for explaining …

The past decade has witnessed construction of the background information resources to
overcome several challenges in text mining tasks. For non-English languages with poor …

Convolutional Neural Networks (CNNs) are the state-of-the-art in computer vision for
different purposes such as image and video classification, recommender systems and …