[PDF][PDF] Semantic similarity analysis for corpus development and paraphrase detection in Arabic.
A Mahmoud, M Zrigui - Int. Arab J. Inf. Technol., 2021 - ccis2k.org
Paraphrase detection allows determining how original and suspect documents convey the
same meaning. It has attracted attention from researchers in many Natural Language …
same meaning. It has attracted attention from researchers in many Natural Language …
BLSTM-API: Bi-LSTM recurrent neural network-based approach for Arabic paraphrase identification
A Mahmoud, M Zrigui - Arabian Journal for Science and Engineering, 2021 - Springer
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 …
phenomenon, an increasing amount of data are easily disseminated and published on the …
Deep convolutional neural network for Arabic speech recognition
R Amari, Z Noubigh, S Zrigui, D Berchech… - International Conference …, 2022 - Springer
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 …
for speech recognition. In this paper, we compare the performance of two proposed models …
Temporal ordering of events via deep neural networks
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 …
processing. In this paper, we introduce a new combined neural network architecture that is …
Named entity translation method based on machine translation lexicon
P Li, M Wang, J Wang - Neural Computing and Applications, 2021 - Springer
In the context of the rapid development of computer technology, communication between
various languages has become increasingly important. Among the research methods of …
various languages has become increasingly important. Among the research methods of …
[HTML][HTML] CybAttT: A Dataset of Cyberattack News Tweets for Enhanced Threat Intelligence
The continuous developments in information technologies have resulted in a significant rise
in security concerns, including cybercrimes, unauthorized access, and cyberattacks …
in security concerns, including cybercrimes, unauthorized access, and cyberattacks …
Active learning with aragpt2 for arabic named entity recognition
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 …
processing that aims to identify and classify named entities in text into predefined categories …
TimeML annotation of events and temporal expressions in Arabic texts
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 …
article, we present the first free Arabic corpus for events and temporal expressions by …
[PDF][PDF] Speaker naming in arabic TV programs.
ML Bellagha, M Zrigui - Int. Arab J. Inf. Technol., 2022 - iajit.org
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 …
Previous approaches use textual information as a source of naming, try to associate names …
Integrating bilingual named entities lexicon with conditional random fields model for Arabic named entities recognition
E Hkiri, S Mallat, M Zrigui - 2017 14th IAPR International …, 2017 - ieeexplore.ieee.org
Named Entity Recognition plays an important role in locating and classifying atomic
elements into predefined categories such as person names, locations, organizations …
elements into predefined categories such as person names, locations, organizations …