---
title: "Who cites Domain Adaptation for Arabic — 10 citing papers"
description: "10 papers of the Elamur Research library cite «Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from…"
canonical: "https://research.elamur.ai/free/en/papers/mekki-2021-domain-adaptation-arabic-cross-domain/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Domain Adaptation for Arabic Cross-Domain and…](https://md.research.elamur.ai/free/en/papers/mekki-2021-domain-adaptation-arabic-cross-domain/) / cited by

# Who cites «Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from Contextualized Word Embedding»

10 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from Contextualized Word Embedding»](https://md.research.elamur.ai/free/en/papers/mekki-2021-domain-adaptation-arabic-cross-domain/)

1. **[CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabic](https://md.research.elamur.ai/free/en/papers/mahdaouy-2022-cs-um6p-semeval-2022-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar, et al.*2022 · 11 citations*
2. **[A Comprehensive Survey of Contemporary Arabic Sentiment Analysis: Methods, Challenges, and Future Directions](https://md.research.elamur.ai/free/en/papers/shi-2025-comprehensive-survey-contemporary-arabic-sentiment/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhiqiang Shi, Ruchit Agrawal*2025 · 9 citations*
3. **[Offensive Language Detection in Arabizi](https://md.research.elamur.ai/free/en/papers/bensalem-2023-offensive-language-detection-arabizi/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Imene Bensalem, Meryem Mout, Paolo Rosso*2023 · 7 citations*
4. [**Deep Multi-Task Models for Misogyny Identification and Categorization on Arabic Social Media arXiv:2206.08407**Abdelkader El Mahdaouy, Abdellah El Mekki, Ahmed Oumar, et al.*2022 · 6 citations*](https://md.research.elamur.ai/free/en/papers/mahdaouy-2022-deep-multi-task-models-misogyny/)
5. [**Arabic Text Diacritization In The Age Of Transfer Learning: Token Classification Is All You Need arXiv:2401.04848**Abderrahman Skiredj, Ismail Berrada*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/skiredj-2024-arabic-text-diacritization-age-transfer/)

5 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/mekki-2021-domain-adaptation-arabic-cross-domain/) — Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from Contextualized Word Embedding