Hossam Elkordi
Hossam Elkordi has 3 papers in our library, in 2024–2025, most of them on Semitic languages, Sentiment & emotion, Information retrieval & search; often with Ahmed Sakr, Ahmed Mahmoud Salem, Mohamed Zaytoon.
OpenAlex · h-index 1 · 6 works · 2 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 5 times in our library · ⭐ Paper Stars ranking: #10353
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Fields, topics and concepts
📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksSocial Sciences · 1 workSociology and Political Science · 1 workMedicine · 1 workHealth Informatics · 1 workInformation Systems · 1 work
🧭 Topics 5Research subjects and languages the work is about.Semitic languages · 3 worksInformation retrieval & search · 1 workBias, fairness & safety · 1 workSentiment & emotion · 1 workVision & language · 1 work
Works by year
2020s
Papers
- AlexuNLP24 at AraFinNLP2024: Multi-Dialect Arabic Intent Detection with Contrastive Learning in Banking Domain (2024 · 3 citations)
The paper tackles intent detection for Arabic banking queries when the evaluation data contains dialects absent from training. - AraMinds at MAHED 2025: Leveraging Vision-Language Models and Contrastive Multi-task Learning for Multimodal Hate Speech Detection (2025 · 2 citations)
The paper describes the AraMinds team's entry for subtask 3 of the MAHED 2025 shared task. The task is a binary hate / no-hate decision on Arabic memes. Memes are difficult because irony and humour can hide hostile intent, Arabic dialects vary widely, topics range across politics, religion and gender, and non-hateful… - AraMinds at AraHealthQA 2025: A Retrieval-Augmented Generation System for Fine-Grained Classification and Answer Generation of Arabic Mental Health Q&A (2025 · 1 citation)
The paper describes the AraMinds entry to the AraHealthQA 2025 shared task on Arabic mental health Q&A. The task had three parts: multi-label tagging of patient questions (seven intent classes), multi-label tagging of doctor answers (three style classes), and generating replies to new questions. The data is MentalQA…
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