🧑‍🔬 Motaz Saad

🏛️ Affiliations

🎓University of SalentoLecce · Italy2024–2026 · 8 papersEmployment 2024–2025 · Collaboratori, DIPARTIMENTO DI INGEGNERIA DELL'INNOVAZIONEEmployment 2025–2026 · Assegnisti, DIPARTIMENTO DI MATEMATICA E FISICA "ENNIO DE GIORGI"current🏢Innovation EngineeringRome · Italy2026 · 1 papercurrent🎓Islamic University of GazaGaza · Palestine2006–2025 · 16 papersEmployment 2006–2010 · Teaching Assistant, Computer ScienceEmployment 2010–2011 · Lecturer, Computer ScienceEmployment 2015–2024 · Assistant Professor, Computer Science🔬Laboratoire Lorrain de Recherche en Informatique et ses ApplicationsNancy · France2014–2015 · 3 papers🎓Université de LorraineNancy · France2011–2016 · 2 papersEducation 2011–2015 · PhD, computer ScienceEmployment 2014–2016 · Researcher, Computer Science

🏛️Inria Centre de Recherche Nancy Grand EstVillers-les-Nancy · France2011–2014Employment 2011–2014 · Researcher

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Shami: A Corpus of Levantine Arabic Dialects (2018 · 95 citations)
   Arabic NLP tools are built mostly for Modern Standard Arabic (MSA), but everyday online writing uses regional dialects that differ from MSA in vocabulary and usage.
2. An Arabic Tweets Sentiment Analysis Dataset (ATSAD) using Distant Supervision and Self Training (2020 · 38 citations)
   Arabic sentiment analysis lacks social-media resources that are both large and reliably labelled. Existing corpora are often small, limited to one dialect, unbalanced, or labelled in ways that distort the original text. The authors build ATSAD, a Twitter corpus of 36K Arabic tweets marked as positive or negative.…
3. ArbDialectID at MADAR Shared Task 1: Language Modelling and Ensemble Learning for Fine Grained Arabic Dialect Identification (2019 · 22 citations)
   The paper addresses Arabic Dialect Identification at the city level. Telling 26 varieties apart (25 Arab cities plus MSA) is difficult because neighbouring dialects have no fixed spelling and often look nearly identical in writing. The authors built ArbDialectID for Task 1 of the MADAR shared task, using the…
4. AraBEM at WANLP 2022 Shared Task: Propaganda Detection in Arabic Tweets (2022 · 4 citations)
   This paper describes team AraBEM's entry to the WANLP 2022 shared task on detecting propaganda in Arabic tweets.
5. QQATeam at Qur'an QA 2022: Fine-Tunning Arabic QA Models for Qur'an QA Task (2022 · 3 citations)
   This paper reports one team's entry in the Qur'an QA 2022 shared task. The task is extractive question answering: given a question in Modern Standard Arabic and a passage of Qur'anic verses in Classical Arabic, the system must return answer spans. Instead of building a QA model from scratch, the authors took two…
6. Arabic Hate Speech Identification and Masking in Social Media using Deep Learning Models and Pre-trained Models Fine-tuning (2025)
   The paper tackles two tasks for Arabic social media text: recognising hateful or offensive posts, and "cleaning" them by hiding the offending words.

🤝 Co-authors here

6 co-authors with a page, the most papers together first.

• Kathrein Abu Kwaik ×3
• Basem Ahmed ×2
• Simon Dobnik ×2
• Stergios Chatzikyriakidis ×2
• Eshrag Refaee
• Richard Johansson

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks ×2: Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks 2022, Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks 2020
• Arabic Natural Language Processing Workshop (WANLP) ×2: WANLP 2022, WANLP 2019
• Language Resources and Evaluation Conference (LREC): LREC 2018

🔗 Cited by

Papers of our library cite their works 59 times (of the 149,439 papers whose bibliographies we read); 46 citing papers with a page here →.

Updated 1 November 2026

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