--- title: "Who cites UoT at NADI 2023 shared task: — 2 citing papers" description: "2 papers of the Elamur Research library cite «UoT at NADI 2023 shared task: Automatic Arabic Dialect Identification is Made Possible»…" canonical: "https://research.elamur.ai/free/en/papers/nwesri-2023-uot-nadi-2023-shared-task/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/nwesri-2023-uot-nadi-2023-shared-task/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [UoT at NADI 2023 shared task: Automatic Arabic…](https://md.research.elamur.ai/free/en/papers/nwesri-2023-uot-nadi-2023-shared-task/) / cited by # Who cites «UoT at NADI 2023 shared task: Automatic Arabic Dialect Identification is Made Possible» 2 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «UoT at NADI 2023 shared task: Automatic Arabic Dialect Identification is Made Possible»](https://md.research.elamur.ai/free/en/papers/nwesri-2023-uot-nadi-2023-shared-task/) 1. **[NADI 2023: The Fourth Nuanced Arabic Dialect Identification Shared Task](https://md.research.elamur.ai/free/en/papers/mageed-2023-nadi-2023-fourth-nuanced-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Muhammad Abdul-Mageed, AbdelRahim Elmadany, Chiyu Zhang, et al.*2023 · 82 citations* 2. **[Sentiment Analysis on Arabic Dialects: A Multi-Dialect Benchmark](https://md.research.elamur.ai/free/en/papers/nwesri-2025-sentiment-analysis-arabic-dialects-multi/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Abdusalam F. Ahmad Nwesri, Nabila Almabrouk S. Shinbir, Amani Bahlul Sharif*2025 · 4 citations* - [← back to](https://md.research.elamur.ai/free/en/papers/nwesri-2023-uot-nadi-2023-shared-task/) — UoT at NADI 2023 shared task: Automatic Arabic Dialect Identification is Made Possible