Who cites «Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from Contextualized Word Embedding»
- CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and ArabicInternational Workshop on Semantic Evaluation (SemEval)Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar, et al.2022 · 11 citations
- A Comprehensive Survey of Contemporary Arabic Sentiment Analysis: Methods, Challenges, and Future DirectionsFindings of the Association for Computational LinguisticsZhiqiang Shi, Ruchit Agrawal2025 · 9 citations
- Offensive Language Detection in ArabiziArabic Natural Language Processing Conference (ArabicNLP)Imene Bensalem, Meryem Mout, Paolo Rosso2023 · 7 citations
- Deep Multi-Task Models for Misogyny Identification and Categorization on Arabic Social MediaarXiv:2206.08407Abdelkader El Mahdaouy, Abdellah El Mekki, Ahmed Oumar, et al.2022 · 6 citations
- Arabic Text Diacritization In The Age Of Transfer Learning: Token Classification Is All You NeedarXiv:2401.04848Abderrahman Skiredj, Ismail Berrada2024 · 3 citations
This page in Markdown → https://md.research.elamur.ai/free/en/papers/mekki-2021-domain-adaptation-arabic-cross-domain/cited-by/