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Reem Abdel-Salam

Reem Abdel-Salam has 6 papers in our library, in 2021–2025, most of them on Semitic languages, Language models & pretraining, Sentiment & emotion; often with Abdellah El Mekki, AbdelRahim Elmadany, Abdulfattah Mohammed Yahya.

6 papers in our library · 2021–2025

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📄 6 works in our library · 🔗 Cited 47 times in our library · ⭐ Paper Stars ranking: #7541

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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 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 5 worksLanguage and Linguistics · 5 worksComputer Science · 5 worksArtificial Intelligence · 5 worksSocial Sciences · 2 worksEducation · 1 workInformation Systems · 1 workSociology and Political Science · 1 work

🧭 Topics 5Research subjects and languages the work is about.Semitic languages · 6 worksLanguage models & pretraining · 2 worksSentiment & emotion · 2 worksMachine translation · 1 workWord sense disambiguation · 1 work

 Works by year

2020s

20251 paper20241 paper20232 papers20221 paper20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Palm: A Culturally Inclusive and Linguistically Diverse Dataset for Arabic LLMs (2025 · 37 citations)
    Arabic LLMs often reflect Western cultural assumptions, largely because their instruction data is machine-generated or translated from English.
  2. Dialect & Sentiment Identification in Nuanced Arabic Tweets Using an Ensemble of Prompt-based, Fine-tuned, and Multitask BERT-Based Models (2022 · 8 citations)
    This paper describes a first-place system for the NADI 2022 shared task, which covers two problems in Arabic tweets.
  3. WANLP 2021 Shared-Task: Towards Irony and Sentiment Detection in Arabic Tweets using Multi-headed-LSTM-CNN-GRU and MaRBERT (2021 · 5 citations)
    This paper presents one team's system for the two WANLP 2021 shared tasks on Arabic tweets. Task one is binary sarcasm detection, and task two is three-way sentiment classification (positive, negative, neutral). Both tasks use the ArSarcasm-v2 dataset, which is mostly MSA and Egyptian and has a strong label imbalance.
  4. rematchka at ArabicNLU2024: Evaluating Large Language Models for Arabic Word Sense and Location Sense Disambiguation (2024 · 4 citations)
    The paper describes a submission to the ArabicNLU 2024 shared task, which had two subtasks. The first is Arabic word sense disambiguation (WSD): choose the right gloss for a target word in context. The second is location mention disambiguation (LMD): link place names in tweets to toponyms from a geo-database.
  5. rematchka at ArAIEval Shared Task: Prefix-Tuning & Prompt-tuning for Improved Detection of Propaganda and Disinformation in Arabic Social Media Content (2023 · 3 citations)
    The paper describes the "rematchka" entry to the ArAIEval shared task at ArabicNLP 2023. The task covers two problems in Arabic tweets and texts. Task 1 asks whether a text uses persuasion (1A) and, if so, which of 24 propaganda techniques appear (1B, multi-label). Task 2 asks whether a text is disinformation (2A)…
  6. rematchka at NADI 2023 shared task: Parameter Efficient tuning for Dialect Identification and Dialect Machine Translation (2023 · 3 citations)
    The paper describes one team's entry to NADI 2023, which had three subtasks. The first was country-level Arabic dialect identification over 18 countries. The second and third were sentence-level translation from four dialects into MSA. For identification, the author compared several BERT-based Arabic encoders…

 Co-authors here

11 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 47 times (of the 149,439 papers whose bibliographies we read); 29 citing papers with a page here →.

Updated

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