---
title: "Who cites BERT-based Multi-Task Model for — 14 citing papers"
description: "14 papers of the Elamur Research library cite «BERT-based Multi-Task Model for Country and Province Level MSA and Dialectal Arabic…"
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [BERT-based Multi-Task Model for Country and…](https://md.research.elamur.ai/free/en/papers/mekki-2021-bert-based-multi-task-model/) / cited by

# Who cites «BERT-based Multi-Task Model for Country and Province Level MSA and Dialectal Arabic Identification»

14 papers of our library cite it (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · [← back to «BERT-based Multi-Task Model for Country and Province Level MSA and Dialectal Arabic Identification»](https://md.research.elamur.ai/free/en/papers/mekki-2021-bert-based-multi-task-model/)

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. **[CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabic](https://md.research.elamur.ai/free/en/papers/mahdaouy-2022-cs-um6p-semeval-2022-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar, et al.*2022 · 11 citations*
3. **[Arabic Dialect Identification and Sentiment Classification using Transformer-based Models](https://md.research.elamur.ai/free/en/papers/attieh-2022-arabic-dialect-identification-sentiment-classification/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Joseph Attieh, Fadi Hassan*2022 · 8 citations*
4. **[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*
5. **[Revisiting Common Assumptions about Arabic Dialects in NLP](https://md.research.elamur.ai/free/en/papers/keleg-2025-revisiting-common-assumptions-about-arabic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Amr Keleg, Sharon Goldwater, Walid Magdy*2025 · 6 citations*
6. [**Deep Multi-Task Models for Misogyny Identification and Categorization on Arabic Social Media arXiv:2206.08407**Abdelkader El Mahdaouy, Abdellah El Mekki, Ahmed Oumar, et al.*2022 · 6 citations*](https://md.research.elamur.ai/free/en/papers/mahdaouy-2022-deep-multi-task-models-misogyny/)
7. [**DarijaBanking: A New Resource for Overcoming Language Barriers in Banking Intent Detection for Moroccan Arabic Speakers arXiv:2405.16482**Abderrahman Skiredj, Ferdaous Azhari, Ismail Berrada, et al.*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/skiredj-2024-darijabanking-new-resource-overcoming-language/)
8. [**Overview of the Arabic Sentiment Analysis 2021 Competition at KAUST arXiv:2109.14456**Hind Alamro, Manal Alshehri, Basma Alharbi, et al.*2021 · 5 citations*](https://md.research.elamur.ai/free/en/papers/alamro-2021-overview-arabic-sentiment-analysis-2021/)
9. **[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*
10. [**Arabic Text Diacritization In The Age Of Transfer Learning: Token Classification Is All You Need arXiv:2401.04848**Abderrahman Skiredj, Ismail Berrada*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/skiredj-2024-arabic-text-diacritization-age-transfer/)
11. **[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*
12. **[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*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/mekki-2021-bert-based-multi-task-model/) — BERT-based Multi-Task Model for Country and Province Level MSA and Dialectal Arabic Identification
