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Nouf AlShenaifi

Nouf AlShenaifi has 5 papers in our library, in 2015–2025, most of them on Semitic languages, Sentiment & emotion, Reasoning; often with Aqil Azmi, Nourah Alangari, Hend Al-Khalifa.

5 papers in our library · 2015–2025

OpenAlex · ORCID · h-index 5 · 15 works · 89 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 12 times in our library · ⭐ Paper Stars ranking: #7988

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

🎓King Saud UniversityRiyadh · Saudi Arabia2015–2026 · 11 papersEmploymentcurrent

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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 5 worksComputer Science · 5 worksArtificial Intelligence · 5 worksLanguage and Linguistics · 5 worksEducation · 1 workSocial Sciences · 1 workInformation Systems · 1 work

🧭 Topics 4Research subjects and languages the work is about.Semitic languages · 5 worksSentiment & emotion · 1 workInformation retrieval & search · 1 workReasoning · 1 work

 Works by year

2020s

20251 paper20241 paper20221 paper20201 paper

2010s

20151 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Arabic dialect identification using machine learning and transformer-based models: Submission to the NADI 2022 Shared Task (2022 · 15 citations)
    The paper describes a submission to Subtask 1 of the third NADI shared task (NADI 2022), which asks systems to assign each tweet to one of the Arab countries whose dialect it represents.
  2. Arib@QALB-2015 Shared Task: A Hybrid Cascade Model for Arabic Spelling Error Detection and Correction (2015 · 15 citations)
    Arib is a system for detecting and correcting Arabic spelling errors, built for the QALB-2015 shared task.
  3. Faheem at NADI shared task: Identifying the dialect of Arabic tweet (2020 · 9 citations)
    This paper presents Faheem, a system entered in subtask 1 of the NADI 2020 shared task, which asks which of 21 Arab countries a tweet's dialect comes from.
  4. Rasid at StanceEval: Fine-tuning MARBERT for Arabic Stance Detection (2024 · 3 citations)
    This paper describes a team's entry to the StanceEval shared task on Arabic stance detection. The task is to decide whether a tweet's author is for, against, or neutral toward one of three topics: the COVID-19 vaccine, digital transformation, and women empowerment. The data comes from the MAWQIF Twitter corpus. It is…
  5. N&N at QIAS 2025: Chain-of-Thought Ensembles with Retrieval-Augmented framework for Classical Arabic Islamic (2025 · 1 citation)
    The authors address QIAS 2025 Subtask 2, a shared task in which systems answer Arabic multiple-choice questions drawn from classical Islamic literature.

 Co-authors here

4 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 12 times (of the 149,439 papers whose bibliographies we read); 12 citing papers with a page here →.

Updated

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