Prof. Mounir Zrigui
Research Laboratory in Algebra, Numbers Theory and Intelligent Systems RLANTIS
University of Monastir, Tunisia
E-mail: mounir.zrigui@fsm.rnu.tn


Dr. Sadek Mansouri
Research Laboratory in Algebra, Numbers Theory and Intelligent Systems RLANTIS
University of Monastir, Tunisia,
University og Le Havre, France
E-mail: mansouri_sadek@hotmail.fr


Dr. Nafaa Haffar
Research Laboratory in Algebra, Numbers Theory and Intelligent Systems RLANTIS
University of Monastir, Tunisia
E-mail: nafaa.haffar.5@gmail.com


Dr. Dhaou Berchech
DB Consulting, Paris, France
E-mail: dhaou.b@db-consulting-group.com

Arabic Natural Language Processing (Arabic NLP) is a crucial challenge in the field of computational linguistics. This is due to rich grammatical structure, complex morphology and orthographic ambiguity of Arabic. Moreover, there are many dialects of Arabic and there are big differences between them. These different characteristics of the Arabic language make the NLP tasks more complex and require effective methods. In the last decade, deep learning approaches have obtained very high performance across in many different NLP tasks and has gained significant interest in the Arabic community. The DLANLP 2023 Special Session at the 15 th International Conference on Computational Collective Intelligence (DLISADA 2023) aims to bring together the recent research and applications progress on Deep Learning architectures and Intelligent Systems focusing in Arabic NLP applications (text, audio, image, and video).

The main topics of this invited session include, but are not limited to, the following:

• Knowledge-Based Systems and Expert systems
• machine learning for natural language processing
• Big data with Deep Neural Networks
• Information extraction
• Image and video processing using NLP Techniques
• Sentiment analysis and opinion mining
• Named entity recognition and disambiguation
• Text classification and summarization
• Social media analytics
• Optical character recognition
• Speech synthesis
• Arabic dialect modeling
• Machine translation
• Pattern recognition
• E-Learning and Intelligent Web-based Systems
• Information Processing and Computational Applications