[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/acl-2019-zalmout-adversarial-multitask-learning-joint-multi/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling»

# Who cites «Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling»

15 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/acl-2019-zalmout-adversarial-multitask-learning-joint-multi/)

1. [Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2026-adel-arabic-morphosyntactic-tagging-dependency-parsing/) *— our card · 2026 · arXiv:2603.16718*
2. [Advancing Arabic Diacritization: Improved Datasets, Benchmarking, and State-of-the-Art Models](https://aclanthology.org/2025.emnlp-main.846/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
3. [Arabic Diacritics in the Wild: Exploiting Opportunities for Improved Diacritization](https://aclanthology.org/2024.acl-long.792/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [Take the Hint: Improving Arabic Diacritization with Partially-Diacritized Text](https://arxiv.org/abs/2306.03557) *— 2023 · arXiv:2306.03557*
5. [Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialects](https://aclanthology.org/2022.findings-acl.135/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
6. [ALUE: Arabic Language Understanding Evaluation](https://aclanthology.org/2021.wanlp-1.18/) *— 2021 · Proceedings of the Sixth Arabic Natural Language Processing Workshop*
7. [Improving Arabic Diacritization with Regularized Decoding and Adversarial Training](https://md.mova.elamur.ai/free/en/docs/papers/acl-2021-qin-improving-arabic-diacritization-regularized-decoding/) *— our card · 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
8. [A Multitask Learning Approach for Diacritic Restoration](https://md.mova.elamur.ai/free/en/docs/papers/acl-2020-alqahtani-multitask-learning-approach-diacritic-restoration/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
9. [CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing](https://aclanthology.org/2020.lrec-1.868/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
10. [Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging](https://md.mova.elamur.ai/free/en/docs/papers/acl-2020-zalmout-joint-diacritization-lemmatization-normalization-fine/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
11. [A Little Linguistics Goes a Long Way: Unsupervised Segmentation with Limited Language Specific Guidance](https://aclanthology.org/W19-4214/) *— 2019 · Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology*
12. becker-2022-part-speech-morphological-tagging-algerian
13. gugliotta-2023-empirical-analysis-task-relations-multi
14. li-2024-representation-alignment-adversarial-networks-cross
15. zalmout-2020-utilizing-subword-entities-character-level
- [← previous Who cites «Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/acl-2019-luo-neural-decipherment-minimum-cost-flow/)
- [next → Who cites «A Multitask Learning Approach for Diacritic Restoration»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/acl-2020-alqahtani-multitask-learning-approach-diacritic-restoration/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)