--- title: "Who cites No Army, No Navy: BERT — 19 citing papers" description: "19 papers of the Elamur Research library cite «No Army, No Navy: BERT Semi-Supervised Learning of Arabic Dialects», found in their…" canonical: "https://research.elamur.ai/free/en/papers/zhang-2019-no-army-no-navy-bert/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/zhang-2019-no-army-no-navy-bert/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [No Army, No Navy: BERT Semi-Supervised Learning…](https://md.research.elamur.ai/free/en/papers/zhang-2019-no-army-no-navy-bert/) / cited by # Who cites «No Army, No Navy: BERT Semi-Supervised Learning of Arabic Dialects» 19 papers of our library cite it (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · [← back to «No Army, No Navy: BERT Semi-Supervised Learning of Arabic Dialects»](https://md.research.elamur.ai/free/en/papers/zhang-2019-no-army-no-navy-bert/) 1. [**ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic arXiv:2101.01785 · ACL-2021 camera ready version**Muhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi*2021 · 478 citations*](https://md.research.elamur.ai/free/en/papers/abdul-mageed-2021-arbert-marbert-deep-bidirectional-transformers/) 2. **[The MADAR Shared Task on Arabic Fine-Grained Dialect Identification](https://md.research.elamur.ai/free/en/papers/bouamor-2019-madar-shared-task-arabic-fine/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Houda Bouamor, Sabit Hassan, Nizar Habash*2019 · 220 citations* 3. **[Multi-dialect Arabic BERT for Country-level Dialect Identification](https://md.research.elamur.ai/free/en/papers/talafha-2020-multi-dialect-arabic-bert-country/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Bashar Talafha, Mohammad Ali, Muhy Eddin Za'ter, et al.*2020 · 77 citations* 4. **[QADI: Arabic Dialect Identification in the Wild](https://md.research.elamur.ai/free/en/papers/abdelali-2021-qadi-arabic-dialect-identification-wild/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Ahmed Abdelali, Hamdy Mubarak, Younes Samih, et al.*2021 · 50 citations* 5. [**Arabic Dialect Identification in the Wild arXiv:2005.06557**Ahmed Abdelali, Hamdy Mubarak, Younes Samih, et al.*2020 · 47 citations*](https://md.research.elamur.ai/free/en/papers/abdelali-2020-arabic-dialect-identification-wild/) 6. **[Similarities between Arabic Dialects: Investigating Geographical Proximity](https://md.research.elamur.ai/free/en/papers/alsudais-2021-similarities-between-arabic-dialects-investigating/) [Information Processing & Management](https://md.research.elamur.ai/free/en/venues/information-processing-management/)**Abdulkareem Alsudais, Wafa Alotaibi, Faye Alomary*2021 · 42 citations* 7. **[Weighted combination of BERT and N-GRAM features for Nuanced Arabic Dialect Identification](https://md.research.elamur.ai/free/en/papers/mekki-2020-weighted-combination-bert-n-gram/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Abdellah El Mekki, Ahmed Alami, Hamza Alami, et al.*2020 · 32 citations* 8. **[AraNet: A Deep Learning Toolkit for Arabic Social Media](https://md.research.elamur.ai/free/en/papers/mageed-2020-aranet-deep-learning-toolkit-arabic/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Muhammad Abdul-Mageed, Chiyu Zhang, Azadeh Hashemi, et al.*2020 · 25 citations* 9. [**Automatic Arabic Dialect Identification Systems for Written Texts: A Survey arXiv:2009.12622**Maha J. Althobaiti*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/althobaiti-2020-automatic-arabic-dialect-identification-systems/) 10. **[Weakly and Semi-Supervised Learning for Arabic Text Classification using Monodialectal Language Models](https://md.research.elamur.ai/free/en/papers/alyami-2022-weakly-semi-supervised-learning-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Reem AlYami, Rabah Al-Zaidy*2022 · 11 citations* 11. **[A Benchmark Study of Contrastive Learning for Arabic Social Meaning](https://md.research.elamur.ai/free/en/papers/khondaker-2022-benchmark-study-contrastive-learning-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Md Tawkat Islam Khondaker, El Moatez Billah Nagoudi, AbdelRahim Elmadany, et al.*2022 · 7 citations* 12. **[Dialect Identification in Nuanced Arabic Tweets Using Farasa Segmentation and AraBERT](https://md.research.elamur.ai/free/en/papers/wadhawan-2021-dialect-identification-nuanced-arabic-tweets/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Anshul Wadhawan*2021 · 7 citations* 13. **[Arabic dialect identification: An Arabic-BERT model with data augmentation and ensembling strategy](https://md.research.elamur.ai/free/en/papers/gaanoun-2020-arabic-dialect-identification-arabic-bert/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Kamel Gaanoun, Imade Benelallam*2020 · 7 citations* 14. **[Semi-supervised Fine-grained Approach for Arabic dialect detection task](https://md.research.elamur.ai/free/en/papers/balaji-2020-semi-supervised-fine-grained-approach/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Nitin Nikamanth Appiah Balaji, Bharathi B*2020 · 5 citations* 15. **[Team Alexa at NADI Shared Task](https://md.research.elamur.ai/free/en/papers/younes-2020-team-alexa-nadi-shared-task/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Mutaz Younes, Nour Al-khdour, Mohammad AL-Smadi*2020 · 5 citations* 16. **[Pre-trained Models or Feature Engineering: The Case of Dialectal Arabic](https://md.research.elamur.ai/free/en/papers/kwaik-2022-pre-trained-models-or-feature/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Kathrein Abu Kwaik, Stergios Chatzikyriakidis, Simon Dobnik*2022 · 2 citations* 3 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/zhang-2019-no-army-no-navy-bert/) — No Army, No Navy: BERT Semi-Supervised Learning of Arabic Dialects