Expression of Concern: Ontology Features-Based Arabic Text Augmentation Using Word2Vec

Authors

• Enas Tariq Khudair, REGIM-Lab.: REsearch Groups in Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENETCOM), Sfax, 3038, Tunisia
• Onsa Lazzez, REGIM-Lab.: REsearch Groups in Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENETCOM), Sfax, 3038, Tunisia
• Mourad Zaied, RTM-LAB, University of Gabes
• Tarek M. Hamdani, REGIM-Lab.: REsearch Groups in Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENETCOM), Sfax, 3038, Tunisia AND Higher Institute of Computer Science Mahdia (ISIMa), University of Monastir, Tunisia, City, 10587, Country
• Ahmed T. Sadiq, Department of Computer Science, College of Science, University of Technology-Iraq, Baghdad, Iraq
• Habib Chabchoub, College of Bu
• Adel M. Alimi, REGIM-Lab.: REsearch Groups in Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENETCOM), Sfax, 3038, Tunisia AND Department of Electrical and Electronic Engineering Science, Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg 2006, South Africa

Abstract

EXPRESSION OF CONCERN FOR: E. T. Khudair, O. Lazzez, M. Zaied, T. M. Hamdani, A. T. Sadiq, H. Chabchoub, and A. M. Alimi, “Ontology Features-Based Arabic Text Augmentation Using Word2Vec,” Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 3, 2025, Article 40. DOI: https://doi.org/10.52866/2788-7421. 1302 Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/40

Editor's Note: The Expression of Concern (DOI: https://doi.org/10.52866/2788-7421.1386) regarding the Original Article (DOI: https://doi.org/10.52866/2788-7421.1302) has been resolved. The publication timeline is as follows: Original Article → Expression of Concern → Resolution.

Recommended Citation

Khudair, Enas Tariq; Lazzez, Onsa; Zaied, Mourad; Hamdani, Tarek M.; Sadiq, Ahmed T.; Chabchoub, Habib; and Alimi, Adel M. (2026) "Expression of Concern: Ontology Features-Based Arabic Text Augmentation Using Word2Vec," Iraqi Journal for Computer Science and Mathematics: Vol. 7: Iss. 1, Article 40.
DOI: https://doi.org/10.52866/2788-7421.1386
Available at: https://ijcsm.researchcommons.org/ijcsm/vol7/iss1/40