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Osama Rakan Al Mraikhat

Osama Rakan Al Mraikhat has 4 papers in our library, in 2024–2026, most of them on Semitic languages, Language models & pretraining, Named entity recognition; often with Fadi Zaraket, Hadi Hamoud, Chadi Abou Chakra.

4 papers in our library · 2024–2026

OpenAlex · h-index 1 · 6 works · 1 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 2 times in our library · ⭐ Paper Stars ranking: #12111

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

 Affiliations

🔬Arab Center for Research and Policy StudiesDoha · Qatar2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 5Research subjects and languages the work is about.Semitic languages · 4 worksLanguage models & pretraining · 2 worksInformation extraction · 1 workNamed entity recognition · 1 workTokenization & segmentation · 1 work

 Works by year

2020s

20261 paper20243 papers

 Papers

The most cited first (OpenAlex and our library).

  1. NeoAraBERT: A Modern Foundation Model for Arabic Embeddings with Diacritics-Aware Tokenization and POS-Targeted Masking (2026 · 1 citation)
    Arabic text encoders such as AraBERT, ARBERT and MARBERT still use older BERT-era designs. They lack rotary positions, SwiGLU and Pre-RMSNorm, and they largely ignore diacritics. The authors port the NeoBERT architecture to Arabic and pre-train it on a deduplicated corpus that mixes MSA, Classical Arabic and…
  2. AREEj: Arabic Relation Extraction with Evidence (2024 · 1 citation)
    The paper extends Arabic relation extraction so that each predicted link between two entities also comes with a short text span that justifies it.
  3. DRU at WojoodNER 2024: ICL LLM for Arabic NER (2024 · 1 citation)
    The paper describes a system for the open track of the WojoodNER 2024 shared task, specifically flat fine-grained Arabic NER (Subtask 3A).
  4. DRU at WojoodNER 2024: A Multi-level Method Approach (2024)
    The paper describes the DRU team's entry to the WojoodNER 2024 shared task on fine-grained Arabic named entity recognition.

 Co-authors here

6 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 2 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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