Abdelrahman Abdallah
Abdelrahman Abdallah has 2 papers in our library, in 2024–2026, most of them on Information retrieval & search, Question answering, Semitic languages; often with Adam Jatowt.
OpenAlex · ORCID · Wikidata · h-index 10 · 55 works · 400 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 39 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9109
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksInformation Systems · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work
🧭 Topics 3Research subjects and languages the work is about.Information retrieval & search · 2 worksQuestion answering · 1 workSemitic languages · 1 work
Works by year
2020s
Papers
- ArabicaQA: A Comprehensive Dataset for Arabic Question Answering (2024 · 47 citations)
Arabic has few large, high-quality resources for machine reading comprehension (MRC) and open-domain QA. Many existing ones are small, rule-based or machine-translated from English, such as Arabic-SQuAD. ArabicaQA fills this gap with a crowd-sourced dataset built on Arabic Wikipedia passages: - Negative Sampling Techniques in Dense Retrieval: A Survey (2026)
Dense retrievers are usually trained with contrastive objectives such as InfoNCE. Their quality depends heavily on which irrelevant passages, or negatives, the model is shown. This survey reviews 35 key papers on choosing those negatives for dense retrieval in NLP settings like RAG, question answering and dialogue.…
All works
- Exploring the State of the Art in Legal QA Systems ↗arXiv:2304.06623 · J Big Data 10, 127 (2023) · no summary yetAbdelrahman Abdallah, Bhawna Piryani, Adam Jatowt2023 · 67 citations
- ArabicaQA: A Comprehensive Dataset for Arabic Question AnsweringInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Abdelrahman Abdallah, Mahmoud Kasem, Mahmoud Abdalla, et al.2024 · 47 citations
- Negative Sampling Techniques in Dense Retrieval: A SurveyFindings of the Association for Computational LinguisticsLaurin Wischounig, Abdelrahman Abdallah, Adam Jatowt2026
Co-authors here
- Adam Jatowt ×2
Venues
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR): SIGIR 2024
Cited by
Updated
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