Mohamed Elaraby
Mohamed Elaraby has 4 papers in our library, in 2018–2023, most of them on Semitic languages, Language models & pretraining; often with Muhammad Abdul-Mageed, Hassan Alhuzali, Yu Wang.
OpenAlex · ORCID · h-index 10 · 24 works · 264 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 143 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #5268
Affiliations
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 4 worksArts and Humanities · 4 worksComputer Science · 4 worksLanguage and Linguistics · 4 works
🧭 Topics 2Research subjects and languages the work is about.Semitic languages · 3 worksLanguage models & pretraining · 1 work
Works by year
2020s
2010s
Papers
- You Tweet What You Speak: A City-Level Dataset of Arabic Dialects (2018 · 112 citations)
Arabic is a family of varieties, and most of its dialects have little or no data that computational models can use. - Deep Models for Arabic Dialect Identification on Benchmarked Data (2018 · 85 citations)
The authors look at automatic identification of Arabic varieties in user comments. Their starting point is the Arabic Online Commentary (AOC) corpus, a large collection of comments from news sites in which a crowd-labeled portion carries one of four tags: MSA, Egyptian (EGY), Gulf (GLF) or Levantine (LEV). Earlier… - Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models (2023 · 43 citations)
Smaller open-source LLMs invent facts far more often than models above 100B parameters, yet most hallucination research targets the large ones. - A Character Level Convolutional BiLSTM for Arabic Dialect Identification (2019 · 14 citations)
The paper addresses fine-grained Arabic dialect identification at the level of Twitter users. Each user must be assigned one of 21 countries, which is harder than separating a few broad dialect groups because neighbouring dialects look very similar in writing. The CU-RAISA team built this system for MADAR shared task…
All works
- You Tweet What You Speak: A City-Level Dataset of Arabic DialectsLanguage Resources and Evaluation Conference (LREC)Muhammad Abdul-Mageed, Hassan Alhuzali, Mohamed Elaraby2018 · 112 citations
- Deep Models for Arabic Dialect Identification on Benchmarked DataInternational Conference on Computational Linguistics (COLING)Mohamed Elaraby, Muhammad Abdul-Mageed2018 · 85 citations
- Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language ModelsarXiv:2308.11764Mohamed Elaraby, Mengyin Lu, Jacob Dunn, et al.2023 · 43 citations
- Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetMohamed Elaraby, Yang Zhong, Diane Litman2023 · 27 citations
- ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining ↗Proceedings of the 29th International Conference on Computational Linguistics · no summary yetMohamed Elaraby, Diane Litman2022 · 23 citations
- A Character Level Convolutional BiLSTM for Arabic Dialect IdentificationArabic Natural Language Processing Workshop (WANLP)Mohamed Elaraby, Ahmed Zahran2019 · 14 citations
Co-authors here
Venues
- International Conference on Computational Linguistics (COLING) ×2: COLING 2018
- Language Resources and Evaluation Conference (LREC): LREC 2018
- Arabic Natural Language Processing Workshop (WANLP): WANLP 2019
- Findings of the Association for Computational Linguistics: ACL 2023
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