--- title: "Niama Elkhbir — author profile and papers — Elamur Research" description: "Niama Elkhbir: 2 papers on Elamur Research (2023) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/niama-elkhbir/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/niama-elkhbir/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Niama Elkhbir # Niama Elkhbir Niama Elkhbir has 2 papers in our library, in 2023, most of them on [Named entity recognition](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/), [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/); often with [Nadi Tomeh](https://md.research.elamur.ai/free/en/authors/nadi-tomeh/), [Thierry Charnois](https://md.research.elamur.ai/free/en/authors/thierry-charnois/), [Urchade Zaratiana](https://md.research.elamur.ai/free/en/authors/urchade-zaratiana/). 2 papers in our library · 2023 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/niama-elkhbir/#papers) · [🔗 Cited 6 times in our library](https://md.research.elamur.ai/free/en/authors/niama-elkhbir/cited-by/) · [⭐ Paper Stars ranking: #10780](https://md.research.elamur.ai/free/en/paper-stars/page/108/#star-10780) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Niama+Elkhbir) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Niama+Elkhbir) · [dblp](https://dblp.org/search?q=Niama+Elkhbir) · [ACL Anthology](https://aclanthology.org/search/?q=Niama+Elkhbir) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Named entity recognition · 2 works](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Semitic languages · 2 works](https://md.research.elamur.ai/free/en/topics/semitic-languages/) ## Works by year ### 2020s [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/niama-elkhbir/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Cross-Dialectal Named Entity Recognition in Arabic](https://md.research.elamur.ai/free/en/papers/elkhbir-2023-cross-dialectal-named-entity-recognition/)** *(2023 · 7 citations)* Most annotated Arabic NER data covers Modern Standard Arabic (MSA). Dialects such as Moroccan, Egyptian and Syrian have little or no labeled data, no fixed spelling, and different morphology and syntax. The authors ask how well an MSA-trained recognizer works on dialect text with no dialect annotation. They took 500… 2. **[LIPN at WojoodNER shared task: A Span-Based Approach for Flat and Nested Arabic Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/elkhbir-2023-lipn-wojoodner-shared-task-span/)** *(2023 · 7 citations)* The paper addresses Arabic named entity recognition in both its flat and nested forms. Nested Arabic NER has seen little work because suitable annotated data was scarce. The authors entered the WojoodNER 2023 shared task, which uses the Wojood corpus: about 550k tokens covering MSA and dialects, annotated with 21… ## Co-authors here 3 co-authors with a page, the most papers together first. - [Nadi Tomeh](https://md.research.elamur.ai/free/en/authors/nadi-tomeh/) ×2 - [Thierry Charnois](https://md.research.elamur.ai/free/en/authors/thierry-charnois/) ×2 - [Urchade Zaratiana](https://md.research.elamur.ai/free/en/authors/urchade-zaratiana/) ×2 ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/) ×2: [ArabicNLP 2023](https://md.research.elamur.ai/free/en/venues/arabicnlp/2023/) ×2 ## Cited by Papers of our library cite their works 6 times (of the 149,439 papers whose bibliographies we read); [5 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/niama-elkhbir/cited-by/). Updated 31 October 2026