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Imene Bensalem

Imene Bensalem has 4 papers in our library, in 2022–2023, most of them on Semitic languages, Sentiment & emotion, Bias, fairness & safety; often with Paolo Rosso, Angel Felipe Magnossao de Paula, Wajdi Zaghouani.

4 papers in our library · 2022–2023

OpenAlex · ORCID · h-index 5 · 18 works · 129 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 13 times in our library · ⭐ Paper Stars ranking: #8907

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

🎓Université Constantine 2Constantine · Algeria2013–2026 · 8 paperscurrent🎓Aix-Marseille UniversitéMarseille · France2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 4 worksComputer Science · 4 worksCommunication · 1 workSocial Sciences · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Semitic languages · 4 worksSentiment & emotion · 3 worksBias, fairness & safety · 3 works

 Works by year

2020s

20233 papers20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Offensive Language Detection in Arabizi (2023 · 7 citations)
    The paper addresses offensive language detection in Arabizi, the informal practice of writing Arabic dialects in Latin letters and digits.
  2. Transformers and Ensemble methods: A solution for Hate Speech Detection in Arabic languages (2023 · 6 citations)
    The paper describes a submission to the hate speech subtask (task 1.d) of the CERIST NLP Challenge 2022. The task asks a system to label Arabic tweets as Hateful or Not Hateful. Arabic social media text is largely dialectal and has relatively few resources, which makes the problem hard. The data are COVID-19…
  3. UPV at the Arabic Hate Speech 2022 Shared Task: Offensive Language and Hate Speech Detection using Transformers and Ensemble Models (2022 · 5 citations)
    The authors tackle automatic detection of abusive content in Arabic tweets, many of which are written in dialect, as part of an OSACT 2022 competition focused on identifying hate speech at a fine-grained level.
  4. Toxic language detection: a systematic review of Arabic datasets (2023 · 4 citations)
    Research on detecting harmful Arabic online language has grown quickly, but beyond a handful of well-known corpora and shared-task releases, little is documented about which datasets exist, how they were labelled, and whether they can actually be reused.

 Co-authors here

3 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 13 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

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