Who cites «A Multitask Learning Approach for Diacritic Restoration»

11 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

1. Diacritic Restoration for Low-Resource Indigenous Languages: Case Study with Bribri and Cook Islands Māori — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
2. A Comprehensive Survey of Contemporary Arabic Sentiment Analysis: Methods, Challenges, and Future Directions — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
3. A Multi-Task Learning Approach to Dialectal Arabic Identification and Translation to Modern Standard Arabic — 2025 · Proceedings of the First Workshop on Advancing NLP for Low-Resource Languages
4. Accent Placement Models for Rigvedic Sanskrit Text — 2025 · Proceedings of the 1st Workshop on Benchmarks, Harmonization, Annotation, and Standardization for Human-Centric AI in Indian Languages (BHASHA 2025)
5. Advancing Arabic Diacritization: Improved Datasets, Benchmarking, and State-of-the-Art Models — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
6. Arabic Diacritics in the Wild: Exploiting Opportunities for Improved Diacritization — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
7. Arabic Text Diacritization In The Age Of Transfer Learning: Token Classification Is All You Need — 2024 · arXiv:2401.04848
8. Take the Hint: Improving Arabic Diacritization with Partially-Diacritized Text — 2023 · arXiv:2306.03557
9. How Much Does Lookahead Matter for Disambiguation? Partial Arabic Diacritization Case Study — our card · 2022 · Computational Linguistics
10. Improving Arabic Diacritization with Regularized Decoding and Adversarial Training — 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)
11. LAMAD: A Linguistic Attentional Model for Arabic Text Diacritization — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021