Mariam Labib
Mariam Labib has 5 papers in our library, in 2025–2026, most of them on Semitic languages, Sentiment & emotion, Morphology; often with Hamada Nayel, Nsrin Ashraf, Ahmed M. Fetouh.
OpenAlex · ORCID · h-index 3 · 13 works · 58 citations OpenAlex, 2026-10-14
📄 5 works in our library · 🔗 Cited 4 times in our library · ⭐ Paper Stars ranking: #10473
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 5 worksComputer Science · 5 worksArts and Humanities · 4 worksLanguage and Linguistics · 4 worksSocial Sciences · 1 workSociology and Political Science · 1 workComputer Vision and Pattern Recognition · 1 work
🧭 Topics 4Research subjects and languages the work is about.Semitic languages · 5 worksMorphology · 1 workBias, fairness & safety · 1 workSentiment & emotion · 1 work
Works by year
2020s
Papers
- REGLAT at AraGenEval shared task: Morphology-Aware AraBERT for Detecting Arabic AI-Generated Text (2025 · 3 citations)
The paper describes the REGLAT team's entry to the AraGenEval 2025 shared task. The task is a binary decision: was a piece of Arabic text written by a person or produced by a large language model? The organizers supplied a roughly balanced dataset with 4,798 training examples, 500 development examples and 500 test… - REGLAT at SemEval-2026 Task 9: Enhancing Arabic Online Polarization Detection Using AraBERT and Synonym Replacement Augmentation (2026 · 1 citation)
The paper describes REGLAT's entry to SemEval-2026 Task 9, Subtask 1. The task is binary detection of polarized posts in Arabic social media, a setting made hard by dialect diversity, rich morphology and limited labeled data. - REGLAT at MAHED Shared Task: A Hybrid Ensemble-Based System for Arabic Hate Speech Detection (2025 · 1 citation)
The REGLAT team built a system for subtask 1 of the MAHED shared task at ArabicNLP 2025. The subtask asks for social media posts in Arabic dialects and MSA to be sorted into three classes: Hate, Hope, or Not Applicable. The organizers supplied manually annotated data, already divided into training, validation, and… - REGLAT at AbjadGenEval: Multi-Model Ensemble Approach for Arabic AI-Generated Text Detection (2026)
The authors tackle the AbjadGenEval shared task, a binary classification problem that asks whether an Arabic text was written by a person or produced by a language model. - REGLAT at AbjadMed: Handling Imbalanced Arabic Medical Text Classification via Hierarchical KNN-MLP Architecture (2026)
This paper describes the REGLAT team's entry to the AbjadMed shared task: assigning one of 82 medical categories to Arabic healthcare question–answer texts, where some categories have many examples and others very few.
Co-authors here
Venues
- Workshop on NLP for Languages Using Arabic Script ×2: Workshop on NLP for Languages Using Arabic Script 2026 ×2
- Arabic Natural Language Processing Conference (ArabicNLP) ×2: ArabicNLP 2025 ×2
- International Workshop on Semantic Evaluation (SemEval): SemEval 2026
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