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Riad Souissi

Riad Souissi has 3 papers in our library, in 2021–2024, most of them on Semitic languages, Named entity recognition, Language models & pretraining; often with Faroq Altam, Muhammad Al-qurishi, Muhammad Alqurishi.

3 papers in our library · 2021–2024

OpenAlex · ORCID · Wikidata · h-index 6 · 25 works · 485 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 32 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7494

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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksPolitical Science and International Relations · 1 workSocial Sciences · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 5Research subjects and languages the work is about.Semitic languages · 3 worksLegal AI · 1 workEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 workNamed entity recognition · 1 work

 Works by year

2020s

20241 paper20221 paper20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. AraLegal-BERT: A pretrained language model for Arabic Legal text (2022 · 37 citations)
    General-purpose Arabic BERT models are trained mostly on everyday Modern Standard Arabic, and they handle the specialised wording of legal texts poorly.
  2. CamelEval: Advancing Culturally Aligned Arabic Language Models and Benchmarks (2024 · 18 citations)
    Arabic makes up only a small share of the web text used to pre-train LLMs. As a result, many existing models answer Arabic speakers awkwardly, get regional facts wrong, or ignore local norms. The authors present Juhaina, an open Arabic-English model with 9.24B parameters built on top of Gemma 2. They post-trained it…
  3. Arabic Named Entity Recognition Using Transformer-based-CRF Model (2021 · 7 citations)
    The paper addresses named entity recognition for Arabic, where rich morphology, ambiguous spelling and limited tooling make the task hard.

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. AraLegal-BERT: A pretrained language model for Arabic Legal textNatural Legal Language Processing WorkshopMuhammad Al-qurishi, Sarah Alqaseemi, Riad Souissi2022 · 37 citations
  2. CamelEval: Advancing Culturally Aligned Arabic Language Models and BenchmarksarXiv:2409.12623Zhaozhi Qian, Faroq Altam, Muhammad Alqurishi, et al.2024 · 18 citations
  3. Arabic Named Entity Recognition Using Transformer-based-CRF ModelInternational Conference on Natural Language and Speech ProcessingMuhammad Saleh Al-Qurishi, Riad Souissi2021 · 7 citations
  4. Improving LLM Domain Certification with Pretrained Guide Models ↗Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetJiaqian Zhang et al.2026

 Co-authors here

4 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 32 times (of the 149,439 papers whose bibliographies we read); 24 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/riad-souissi/