--- title: "Who cites Benchmarking transfer learning — 2 citing papers" description: "2 papers of the Elamur Research library cite «Benchmarking transfer learning approaches for sentiment analysis of Arabic dialect», found in their…" canonical: "https://research.elamur.ai/free/en/papers/fsih-2022-benchmarking-transfer-learning-approaches-sentiment/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/fsih-2022-benchmarking-transfer-learning-approaches-sentiment/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Benchmarking transfer learning approaches for…](https://md.research.elamur.ai/free/en/papers/fsih-2022-benchmarking-transfer-learning-approaches-sentiment/) / cited by # Who cites «Benchmarking transfer learning approaches for sentiment analysis of Arabic dialect» 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 «Benchmarking transfer learning approaches for sentiment analysis of Arabic dialect»](https://md.research.elamur.ai/free/en/papers/fsih-2022-benchmarking-transfer-learning-approaches-sentiment/) 1. **[NADI 2022: The Third Nuanced Arabic Dialect Identification Shared Task](https://md.research.elamur.ai/free/en/papers/mageed-2022-nadi-2022-third-nuanced-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany, et al.*2022 · 106 citations* 2. **[Foul at SemEval-2023 Task 12: MARBERT Language model and lexical filtering for sentiments analysis of tweets in Algerian Arabic](https://md.research.elamur.ai/free/en/papers/belbachir-2023-foul-semeval-2023-task-12/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Faiza Belbachir*2023 · 8 citations* - [← back to](https://md.research.elamur.ai/free/en/papers/fsih-2022-benchmarking-transfer-learning-approaches-sentiment/) — Benchmarking transfer learning approaches for sentiment analysis of Arabic dialect