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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.

5 papers in our library · 2025–2026

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

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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…
  2. 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.
  3. 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…
  4. 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.
  5. 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

6 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

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