7 citations · 10 across the 10 of their papers we have counts for
11 papers
Automated Scoring of Arabic Text Using Large Language Models: A Literature Review
Khaoula Dahimi, Hadda Cherroun, Amel Belabbaci
In modern educational systems, Automatic Text Scoring (ATS) plays a central role by enabling scalable and consistent evaluation of learner responses without human intervention. Rec…
Arabic Multimodal Machine Learning: Datasets, Applications, Approaches, and Challenges
Abdelhamid Haouhat, Slimane Bellaouar, Attia Nehar +2
Multimodal Machine Learning (MML) aims to integrate and analyze information from diverse modalities, such as text, audio, and visuals, enabling machines to address complex tasks li…
VQA support to Arabic Language Learning Educational Tool
Khaled Bachir Delassi, Lakhdar Zeggane, Hadda Cherroun +2
We address the problem of scarcity of educational Arabic Language Learning tools that advocate modern pedagogical models such as active learning which ensures language proficiency.…
Modality Influence in Multimodal Machine Learning
Abdelhamid Haouhat, Slimane Bellaouar, Attia Nehar +1
Multimodal Machine Learning has emerged as a prominent research direction across various applications such as Sentiment Analysis, Emotion Recognition, Machine Translation, Hate Spe…
Towards Arabic Multimodal Dataset for Sentiment Analysis
Abdelhamid Haouhat, Slimane Bellaouar, Attia Nehar +1
Multimodal Sentiment Analysis (MSA) has recently become a centric research direction for many real-world applications. This proliferation is due to the fact that opinions are centr…
Parallel Tree Kernel Computation
Souad Taouti, Hadda Cherroun, Djelloul Ziadi
Tree kernels are fundamental tools that have been leveraged in many applications, particularly those based on machine learning for Natural Language Processing tasks. In this paper,…
Hierarchical Classification for Spoken Arabic Dialect Identification using Prosody: Case of Algerian Dialects
Soumia Bougrine, Hadda Cherroun, Djelloul Ziadi
In daily communications, Arabs use local dialects which are hard to identify automatically using conventional classification methods. The dialect identification challenging task be…
Efficient Geometric-based Computation of the String Subsequence Kernel
Slimane Bellaouar, Hadda Cherroun, Djelloul Ziadi
Kernel methods are powerful tools in machine learning. They have to be computationally efficient. In this paper, we present a novel Geometric-based approach to compute efficiently…
Rational Kernels for Arabic Stemming and Text Classification
Attia Nehar, Djelloul Ziadi, Hadda Cherroun
In this paper, we address the problems of Arabic Text Classification and stemming using Transducers and Rational Kernels. We introduce a new stemming technique based on the use of…
Mining Frequent Itemsets: a Formal Unification
Slimane Oulad-Naoui, Hadda Cherroun, Djelloul Ziadi
It is generally well agreed that developing a unifying theory is one of the most important issues in Data Mining research. In the last two decades, a great deal of work has been de…
Construction of rational expression from tree automata using a generalization of Arden's Lemma
Younes Guellouma, Ludovic Mignot, Hadda Cherroun +1
Arden's Lemma is a classical result in language theory allowing the computation of a rational expression denoting the language recognized by a finite string automaton. In this pape…