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Tarek Elshishtawy

Tarek Elshishtawy has 3 papers in our library, in 2022–2025, most of them on Semitic languages, Sentiment & emotion, Bias, fairness & safety; often with Hamada Nayel, Nsrin Ashraf, Hosahalli Lakshmaiah Shashirekha.

3 papers in our library · 2022–2025

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📄 3 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #10851

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

 Fields, topics and concepts

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

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksComputer Science · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksSocial Sciences · 1 workSociology and Political Science · 1 work

🧭 Topics 3Research subjects and languages the work is about.Semitic languages · 3 worksSentiment & emotion · 2 worksBias, fairness & safety · 1 work

 Works by year

2020s

20251 paper20241 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. 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…
  2. BFCI at AraFinNLP2024: Support Vector Machines for Arabic Financial Text Classification (2024 · 1 citation)
    This paper presents the BFCI/BFCAI team's entry to subtask 1 of the AraFinNLP 2024 shared task. The task is intent detection for Arabic banking customer queries written in multiple dialects. The team used ArBanking77, an Arabic rendering of the English Banking77 corpus with 77 intent labels, and trained only on its…
  3. BFCAI at SemEval-2022 Task 6: Multi-Layer Perceptron for Sarcasm Detection in Arabic Texts (2022 · 1 citation)
    The paper presents the BFCAI team's entry to iSarcasm (SemEval-2022 Task 6), restricted to the Arabic binary subtask of labeling tweets as sarcastic or not.

 Co-authors here

5 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 1 time (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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