---
title: "Who cites Adapting MARBERT for Improved — 11 citing papers"
description: "11 papers of the Elamur Research library cite «Adapting MARBERT for Improved Arabic Dialect Identification: Submission to the NADI 2021…"
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---
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# Who cites «Adapting MARBERT for Improved Arabic Dialect Identification: Submission to the NADI 2021 Shared Task»

11 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · [← back to «Adapting MARBERT for Improved Arabic Dialect Identification: Submission to the NADI 2021 Shared Task»](https://md.research.elamur.ai/free/en/papers/alkhamissi-2021-adapting-marbert-improved-arabic-dialect/)

1. **[NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Task](https://md.research.elamur.ai/free/en/papers/mageed-2021-nadi-2021-second-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.*2021 · 67 citations*
2. **[Domain-Adapted BERT-based Models for Nuanced Arabic Dialect Identification and Tweet Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/bayrak-2022-domain-adapted-bert-based-models/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Giyaseddin Bayrak, Abdul Majeed Issifu*2022 · 13 citations*
3. **[Dialect & Sentiment Identification in Nuanced Arabic Tweets Using an Ensemble of Prompt-based, Fine-tuned, and Multitask BERT-Based Models](https://md.research.elamur.ai/free/en/papers/salam-2022-dialect-sentiment-identification-nuanced-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Reem Abdel-Salam*2022 · 8 citations*
4. **[Arabic Dialect Identification with a Few Labeled Examples Using Generative Adversarial Networks](https://md.research.elamur.ai/free/en/papers/yusuf-2022-arabic-dialect-identification-few-labeled/) [Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)](https://md.research.elamur.ai/free/en/venues/aacl/)**Mahmoud Yusuf, Marwan Torki, Nagwa El-Makky*2022 · 6 citations*
5. **[NLP_DI at NADI 2024 shared task: Multi-label Arabic Dialect Classifications with an Unsupervised Cross-Encoder](https://md.research.elamur.ai/free/en/papers/kanjirangat-2024-nlp-di-nadi-2024-shared/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Vani Kanjirangat, Tanja Samardzic, Ljiljana Dolamic, et al.*2024 · 4 citations*
6. **[ISL-AAST at NADI 2023 shared task: Enhancing Arabic Dialect Identification in the Era of Globalization and Technological Progress](https://md.research.elamur.ai/free/en/papers/adel-2023-isl-aast-nadi-2023-shared/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Shorouk Adel, Noureldin Elmadany*2023 · 2 citations*
7. **[On The Arabic Dialects' Identification: Overcoming Challenges of Geographical Similarities Between Arabic dialects and Imbalanced Datasets](https://md.research.elamur.ai/free/en/papers/jamal-2022-arabic-dialects-identification-overcoming-challenges/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Salma Jamal, Aly M. Kassem, Omar Mohamed, et al.*2022 · 2 citations*
8. **[NLP DI at NADI Shared Task Subtask-1: Sub-word Level Convolutional Neural Models and Pre-trained Binary Classifiers for Dialect Identification](https://md.research.elamur.ai/free/en/papers/kanjirangat-2022-nlp-di-nadi-shared-task/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Vani Kanjirangat, Tanja Samardzic, Ljiljana Dolamic, et al.*2022 · 1 citation*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/alkhamissi-2021-adapting-marbert-improved-arabic-dialect/) — Adapting MARBERT for Improved Arabic Dialect Identification: Submission to the NADI 2021 Shared Task