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Said Ouatik El Alaoui

Said Ouatik El Alaoui has 3 papers in our library, in 2017–2025, most of them on Semitic languages, Language models & pretraining, Sentiment & emotion; often with Abdessamad Benlahbib, Christoph Schommer, Hamza Alami.

3 papers in our library · 2017–2025

OpenAlex · ORCID · h-index 21 · 131 works · 1,400 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 11 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #9409

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

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.

 Works by year

2020s

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. LISAC FSDM-USMBA Team at SemEval-2020 Task 12: Overcoming AraBERT's pretrain-finetune discrepancy for Arabic offensive language identification (2020 · 30 citations)
    This paper presents the winning system for the Arabic track of OffensEval 2020 (SemEval-2020 Task 12, sub-task A). The task is a binary decision: is a tweet offensive (OFF) or not (NOT)? The authors fine-tune AraBERT, a BERT BASE-sized model pretrained on Arabic text. Their main contribution is how they treat emojis.
  2. UPC-USMBA at SemEval-2017 Task 3: Combining multiple approaches for CQA for Arabic (2017 · 6 citations)
    The UPC-USMBA team took part in SemEval-2017 Task 3, subtask D (Arabic community question answering). In this subtask, a system receives a new medical question together with 30 question–answer pairs taken from forum threads, and must reorder those pairs by how relevant they are to the new question. The previous…
  3. Empirical Evaluation of Pre-trained Language Models for Summarizing Moroccan Darija News Articles (2025 · 1 citation)
    Moroccan Darija (MD) is the main spoken Arabic variety in Morocco, yet it has few NLP resources, particularly for summarization.

All works

5 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. Contextual semantic embeddings based on fine-tuned AraBERT model for Arabic text multi-class categorization ↗Journal of King Saud University - Computer and Information Sciences · no summary yetFatima-Zahra El-Alami, Saïd Ouatik El Alaoui, Noureddine En-Nahnahi2021 · 68 citations
  2. Résumé automatique guidé de textes: État de l'art et perspectives (Guided Summarization : State-of-the-art and perspectives ) ↗Actes de la Conférence TALN. Volume 2 - Démonstrations, articles des Rencontres Jeunes Chercheurs, ateliers DeFT · no summary yetSalima Lamsiyah, Said Ouatik El Alaoui, Bernard Espinasse2018

 Co-authors here

5 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 11 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

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