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Ahmed Alami

Ahmed Alami has 3 papers in our library, in 2020–2022, most of them on Sentiment & emotion, Semitic languages, English; often with Hamza Alami, Abdessamad Benlahbib, Abdellah El Mekki.

3 papers in our library · 2020–2022

OpenAlex · h-index 2 · 4 works · 22 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 16 times in our library · ⭐ Paper Stars ranking: #8262

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 Ibn-TofailKenitra · Morocco2021–2022 · 4 paperscurrent

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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 3Research subjects and languages the work is about.Semitic languages · 2 worksSentiment & emotion · 2 worksEnglish · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.N-gram · 1 work

 Works by year

2020s

20222 papers20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Weighted combination of BERT and N-GRAM features for Nuanced Arabic Dialect Identification (2020 · 32 citations)
    The paper tackles fine-grained Arabic dialect identification on tweets for the NADI shared task. It has two subtasks: predicting one of 21 countries and predicting one of 100 provinces. The authors combine two very different classifiers. The first, M_NGRAM, is a linear model: TF-IDF features from word unigrams and…
  2. High Tech team at SemEval-2022 Task 6: Intended Sarcasm Detection for Arabic texts (2022 · 2 citations)
    The authors join iSarcasmEval (SemEval-2022 Task 6) for Arabic only. They take part in subtask A, which asks whether a tweet is sarcastic, and subtask C, which asks which of two texts with the same meaning is the sarcastic one. Both systems fine-tune Arabic BERT models (AraBERTv02-twitter and CAMEL-Mix) with a…
  3. LISACTeam at SemEval-2022 Task 6: A Transformer based Approach for Intended Sarcasm Detection in English Tweets (2022 · 1 citation)
    This paper describes the LISACTeam entry for SemEval-2022 Task 6 (iSarcasmEval), which targets intended sarcasm in English tweets.

 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 16 times (of the 149,439 papers whose bibliographies we read); 14 citing papers with a page here →.

Updated

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