Paraphrase detection allows determining how original and suspect documents convey the
same meaning. It has attracted attention from researchers in many Natural Language …

Advances in communication technologies have enabled peoples to deliver more. Due to this
phenomenon, an increasing amount of data are easily disseminated and published on the …

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 …

Ordering events with temporal relations in texts remains a challenge in natural language
processing. In this paper, we introduce a new combined neural network architecture that is …

In the context of the rapid development of computer technology, communication between
various languages has become increasingly important. Among the research methods of …

The continuous developments in information technologies have resulted in a significant rise
in security concerns, including cybercrimes, unauthorized access, and cyberattacks …

Abstract Arabic Named Entity Recognition (ANER) is a crucial task in natural language
processing that aims to identify and classify named entities in text into predefined categories …

Events and temporal expressions are crucial elements in the construction of the text. In this
article, we present the first free Arabic corpus for events and temporal expressions by …

Automatic speaker identification is the problem of identifying speakers by their real identities.
Previous approaches use textual information as a source of naming, try to associate names …

Named Entity Recognition plays an important role in locating and classifying atomic
elements into predefined categories such as person names, locations, organizations …