---
title: "Abdelbasset Djamai · DataStrategy — author profile and papers"
description: "Abdelbasset Djamai, DataStrategy: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in…"
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# Abdelbasset Djamai

Abdelbasset Djamai has 2 papers in our library, in 2026, most of them on [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Khloud Al Jallad](https://md.research.elamur.ai/free/en/authors/khloud-al-jallad/), [Omar Elshehy](https://md.research.elamur.ai/free/en/authors/omar-elshehy/), [Omer Nacar](https://md.research.elamur.ai/free/en/authors/omer-nacar/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5119752047) · [**h-index 0**](https://openalex.org/authors/A5119752047) · [6 works](https://openalex.org/works?filter=author.id:A5119752047) · [0 citations](https://openalex.org/works?filter=author.id:A5119752047&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/abdelbasset-djamai/#papers) · [🔗 Cited 3 times in our library](https://md.research.elamur.ai/free/en/authors/abdelbasset-djamai/cited-by/) · [⭐ Paper Stars ranking: #12170](https://md.research.elamur.ai/free/en/paper-stars/page/122/#star-12170)

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=Abdelbasset+Djamai) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Abdelbasset+Djamai) · [dblp](https://dblp.org/search?q=Abdelbasset+Djamai) · [ACL Anthology](https://aclanthology.org/search/?q=Abdelbasset+Djamai)

## Affiliations

[🏢**DataStrategy** Tokyo · Japan 2026 · 3 papers*current*](https://ror.org/01h8x8p33)

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 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.[Semitic languages · 2 works](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/abdelbasset-djamai/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[AraModernBERT: Transtokenized Initialization and Long-Context Encoder Modeling for Arabic](https://md.research.elamur.ai/free/en/papers/elshehy-2026-aramodernbert-transtokenized-initialization-long-context/)** *(2026 · 2 citations)* Modern encoder designs such as ModernBERT have mostly been built and tested for English. Classic Arabic BERT models are still limited to 512 tokens and use absolute positions. The authors port ModernBERT to Arabic as AraModernBERT, a ~149M-parameter encoder that reads up to 8,192 tokens natively. It uses a new Arabic…
2. **[NAMAA at SemEval-2026 Task 9: Comparing Generative, Retrieval-Augmented, and Discriminative Methods for Arabic Online Polarization Detection and Type Classification](https://md.research.elamur.ai/free/en/papers/djamai-2026-namaa-semeval-2026-task-9/)** *(2026 · 1 citation)* The paper addresses Arabic online polarization detection in the SemEval-2026 Task 9 (POLAR) Arabic track. The task covers binary detection of "us vs. them" content (ST1) and multi-label classification into five polarization types (ST2). Dialect mixing, informal spelling and implicit framing make the task hard. The…

## Co-authors here

3 co-authors with a page, the most papers together first.

- [Khloud Al Jallad](https://md.research.elamur.ai/free/en/authors/khloud-al-jallad/) ×2
- [Omar Elshehy](https://md.research.elamur.ai/free/en/authors/omar-elshehy/)
- [Omer Nacar](https://md.research.elamur.ai/free/en/authors/omer-nacar/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/): [Workshop on NLP for Languages Using Arabic Script 2026](https://md.research.elamur.ai/free/en/venues/abjadnlp/2026/)
- [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/): [SemEval 2026](https://md.research.elamur.ai/free/en/venues/semeval/2026/)

## Cited by

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/abdelbasset-djamai/cited-by/).

Updated 31 October 2026
