🔗 Who cites «Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling»

9 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling»

1. ARBERT & MARBERT: Deep Bidirectional Transformers for ArabicarXiv:2101.01785 · ACL-2021 camera ready versionMuhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi2021 · 478 citations
2. Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its DialectsFindings of the Association for Computational LinguisticsGo Inoue, Salam Khalifa, Nizar Habash2022 · 58 citations
3. Ar-Spider: Text-to-SQL in ArabicACM/SIGAPP Symposium on Applied Computing (SAC)Saleh Almohaimeed, Saad Almohaimeed, Mansour Al Ghanim, et al.2024 · 13 citations
4. Advancing Dialectal Arabic to Modern Standard Arabic Machine TranslationarXiv:2507.20301Abdullah Alabdullah, Lifeng Han, Chenghua Lin2025 · 8 citations
5. Investigating Zero-shot Cross-lingual Language Understanding for ArabicArabic Natural Language Processing Conference (ArabicNLP)Zaid Alyafeai, Moataz Ahmed2023 · 1 citation
6. Modeling North African Dialects from Standard LanguagesArabic Natural Language Processing Conference (ArabicNLP)Yassine Toughrai, Kamel Smaïli, David Langlois2025

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

This page in Markdown → https://md.research.elamur.ai/free/en/papers/khalifa-2021-self-training-pre-trained-language/cited-by/