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Hala Mulki

Hala Mulki has 6 papers in our library, in 2017–2021, most of them on Sentiment & emotion, Semitic languages, Evaluation & benchmarks; often with Hatem Haddad, Ismail Babaoglu, Mourad Gridach.

6 papers in our library · 2017–2021

OpenAlex · ORCID · h-index 10 · 21 works · 452 citations OpenAlex, 2026-10-14

📄 6 works in our library · 🔗 Cited 103 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #4669

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. 1 more institution on single bylines are not listed.

 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. L-HSAB: A Levantine Twitter Dataset for Hate Speech and Abusive Language (2019 · 256 citations)
    Arabic dialects have few public resources for detecting abusive language and hate speech, and Levantine dialects have almost none.
  2. Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic Language (2021 · 33 citations)
    Arabic has had no benchmark for detecting online misogyny, and Levantine Arabic is poorly covered in NLP resources generally.
  3. Tw-StAR at SemEval-2017 Task 4: Sentiment Classification of Arabic Tweets (2017 · 25 citations)
    The paper describes the Tw-StAR team's entry to SemEval-2017 subtask 4A-Arabic, which asks systems to label each Arabic tweet as positive, negative or neutral.
  4. Syntax-Ignorant N-gram Embeddings for Sentiment Analysis of Arabic Dialects (2019 · 13 citations)
    Arabic dialects vary in syntax and allow free word order. A sentiment classifier that relies on ordered, syntax-aware sentence composition, such as a CNN or RecNN, may therefore work well for one dialect and poorly for another. Mulki et al. address this with Tw-StAR, a shallow feed-forward network that learns n-gram…
  5. Modern Trends in Arabic Sentiment Analysis: A Survey (2017 · 12 citations)
    After the 2010 uprisings, Arabic opinion content on social media grew sharply, and demand for automatic opinion mining grew with it.
  6. Empirical Evaluation of Leveraging Named Entities for Arabic Sentiment Analysis (2019 · 6 citations)
    The paper asks whether named entities (people, places, organizations) can serve as sentiment signals in Arabic social-media sentiment analysis, rather than being ignored or stripped out.

All works

8 works of theirs in our library, the most cited first; 6 with a page here, the others link their original until we summarise them.

  1. L-HSAB: A Levantine Twitter Dataset for Hate Speech and Abusive LanguageWorkshop on Abusive Language OnlineHala Mulki, Hatem Haddad, Chedi Bechikh Ali, et al.2019 · 256 citations
  2. Tw-StAR at SemEval-2018 Task 1: Preprocessing Impact on Multi-label Emotion Classification ↗Proceedings of the 12th International Workshop on Semantic Evaluation · no summary yetHala Mulki et al.2018 · 43 citations
  3. Modern Trends in Arabic Sentiment Analysis: A SurveyTraitement Automatique des LanguesHala Mulki, Hatem Haddad, Ismail Babaoğlu2017 · 12 citations
  4. Impact du Prétraitement Linguistique sur l'Analyse de Sentiment du Dialecte Tunisien () ↗Actes de la Conférence TALN. Volume 1 - Articles longs, articles courts de TALN · no summary yetChedi Bechikh Ali, Hala Mulki, Hatem Haddad2018

 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 103 times (of the 149,439 papers whose bibliographies we read); 48 citing papers with a page here →.

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