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# Who cites «The Hebrew Universal Dependency Treebank: Past, Present and Future»

20 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/ud-2018-sade-hebrew-universal-dependency-treebank-past/)

1. [Beyond Word Boundaries: A Hebrew Coreference Benchmark and an Evaluation Protocol for Morphologically Complex Text](https://md.mova.elamur.ai/free/en/docs/papers/coref-2026-greenfeld-beyond-word-boundaries-hebrew-coreference/) *— our card · 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [Findings of the UniDive 2025 shared task on multilingual Morpho-Syntactic Parsing](https://aclanthology.org/2025.unidive-1.1/) *— 2025 · Proceedings of The UniDive 2025 Shared Task on Multilingual Morpho-Syntactic Parsing*
3. [Graph Databases for Fast Queries in UD Treebanks](https://aclanthology.org/2025.tlt-1.4/) *— 2025 · Proceedings of the 23rd International Workshop on Treebanks and Linguistic Theories (TLT, SyntaxFest 2025)*
4. [OpenNER 1.0: Standardized Open-Access Named Entity Recognition Datasets in 50+ Languages](https://aclanthology.org/2025.emnlp-main.1708/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
5. [Splintering Nonconcatenative Languages for Better Tokenization](https://aclanthology.org/2025.findings-acl.1151/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
6. [MRL Parsing Without Tears: The Case of Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/findings-2024-shmidman-mrl-parsing-without-tears-case/) *— our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
7. [The Knesset Corpus: An Annotated Corpus of Hebrew Parliamentary Proceedings](https://md.mova.elamur.ai/free/en/docs/papers/arxivrecent-2024-goldin-knesset-corpus-annotated-corpus-hebrew/) *— our card · 2024 · arXiv:2405.18115*
8. [UCxn: Typologically Informed Annotation of Constructions Atop Universal Dependencies](https://aclanthology.org/2024.lrec-main.1471/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
9. [DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/arxivrecent-2023-shmidman-dictabert-state-art-bert-suite/) *— our card · 2023 · arXiv:2308.16687*
10. [Enriching the NArabizi Treebank: A Multifaceted Approach to Supporting an Under-Resourced Language](https://aclanthology.org/2023.law-1.26/) *— 2023 · Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII)*
11. [Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2023-gueta-explicit-morphological-knowledge-improves-pre/) *— our card · 2023 · arXiv:2311.00658*
12. [Multilingual Sequence-to-Sequence Models for Hebrew NLP](https://md.mova.elamur.ai/free/en/docs/papers/findings-2023-eyal-multilingual-sequence-sequence-models-hebrew/) *— our card · 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
13. [A Second Wave of UD Hebrew Treebanking and Cross-Domain Parsing](https://md.mova.elamur.ai/free/en/docs/papers/ud-2022-zeldes-second-wave-ud-hebrew-treebanking/) *— our card · 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
14. [AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level](https://md.mova.elamur.ai/free/en/docs/papers/acl-2022-seker-alephbert-language-model-pre-training/) *— our card · 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
15. [Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them All](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2022-gueta-large-pre-trained-models-extra/) *— our card · 2022 · arXiv:2211.15199*
16. [UniMorph 4.0: Universal Morphology](https://md.mova.elamur.ai/free/en/docs/papers/lex-2022-batsuren-unimorph-4/) *— our card · 2022 · LREC 2022 (Marseille)*
17. [A multilabel approach to morphosyntactic probing](https://aclanthology.org/2021.findings-emnlp.382/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
18. [AlephBERT:A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2021-seker-alephbert-hebrew-large-pre-trained/) *— our card · 2021 · arXiv:2104.04052*
19. [Conversion et améliorations de corpus du français annotés en Universal Dependencies Conversion and Improvement of Universal Dependencies French corpora](https://aclanthology.org/2019.tal-2.4/) *— 2019*
20. gurusinghe-2026-sipakosa-comprehensive-corpus-canonical-classical
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