The paper is a comprehensive review of the current research trends in the area of Arabic
language especially state-of-the-art approaches to highlight the current status of diverse …

In communication, textual data are a vital attribute. In all languages, ambiguous or
polysemous words' meaning changes depending on the context in which they are used. The …

In recent years, convolutional neural network (CNN) has attracted considerable attention
since its impressive performance in various applications, such as Arabic sentence …

Deep neural networks (DNNs) have made remarkable achievements in acoustic modeling
for speech recognition. In this paper, we compare the performance of two proposed models …

In the context of using semantic resources for information retrieval, the relationship and
distance between concepts are considered important for word sense disambiguation. In this …

Internet revolution has given readers access to vast and inexpensive resources with little
effort. To deal with the proliferation of the exchanged data, textual documents …

As part of information retrieval systems (IRS) and in the context of the use of ontologies for
documents and queries indexing, we propose and evaluate in this paper the contribution of …

Author profiling is an important statistical and semantic processing task Author profiling is an
important statistical and semantic processing task in the field of natural language processing …

We present in this paper, a semantic indexing approach based on the meanings of words, or
concepts, in the representation of documents. These concepts are identified by the word …

The continuous increasing in the amount of the published and stored information requires a
special Information Retrieval (IR) frameworks to search and get information accurately and …