---
title: "Who cites The Hebrew Universal Dependency Treebank: Past…"
description: "20 papers of the Elamur Research library cite «The Hebrew Universal Dependency Treebank: Past, Present and Future», found in their bibliographies; the…"
canonical: "https://research.elamur.ai/free/en/papers/ud-2018-sade-hebrew-universal-dependency-treebank-past/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/ud-2018-sade-hebrew-universal-dependency-treebank-past/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [The Hebrew Universal Dependency Treebank: Past…](https://md.research.elamur.ai/free/en/papers/ud-2018-sade-hebrew-universal-dependency-treebank-past/) / cited by

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

20 papers of our library cite it (of the 140884 whose bibliographies we read) · 11 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/ud-2018-sade-hebrew-universal-dependency-treebank-past/)

- [UniMorph 4.0: Universal Morphology](https://md.research.elamur.ai/free/en/papers/lex-2022-batsuren-unimorph-4/) — Khuyagbaatar Batsuren, Omer Goldman, Salam Khalifa · 2022 · 82 citations
- [AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level](https://md.research.elamur.ai/free/en/papers/acl-2022-seker-alephbert-language-model-pre-training/) — Amit Seker, Elron Bandel, Dan Bareket, et al. · 2022 · 57 citations
- [AlephBERT: A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With](https://md.research.elamur.ai/free/en/papers/langstream-2021-seker-alephbert-hebrew-large-pre-trained/) — Amit Seker, Elron Bandel, Dan Bareket, et al. · 2021 · 56 citations
- [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.research.elamur.ai/free/en/papers/hbo-2022-gueta-large-pre-trained-models-extra/) — Eylon Gueta, Avi Shmidman, Shaltiel Shmidman, et al. · 2022 · 28 citations
- [DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew](https://md.research.elamur.ai/free/en/papers/arxivrecent-2023-shmidman-dictabert-state-art-bert-suite/) — Shaltiel Shmidman, Avi Shmidman, Moshe Koppel · 2023 · 22 citations
- [A Second Wave of UD Hebrew Treebanking and Cross-Domain Parsing](https://md.research.elamur.ai/free/en/papers/ud-2022-zeldes-second-wave-ud-hebrew-treebanking/) — Amir Zeldes, Nick Howell, Noam Ordan, et al. · 2022 · 18 citations
- [Multilingual Sequence-to-Sequence Models for Hebrew NLP](https://md.research.elamur.ai/free/en/papers/findings-2023-eyal-multilingual-sequence-sequence-models-hebrew/) — Matan Eyal, Hila Noga, Roee Aharoni, et al. · 2023 · 9 citations
- [MRL Parsing Without Tears: The Case of Hebrew](https://md.research.elamur.ai/free/en/papers/findings-2024-shmidman-mrl-parsing-without-tears-case/) — Shaltiel Shmidman, Avi Shmidman, Moshe Koppel, et al. · 2024 · 8 citations
- [Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew](https://md.research.elamur.ai/free/en/papers/langstream-2023-gueta-explicit-morphological-knowledge-improves-pre/) — Eylon Gueta, Omer Goldman, Reut Tsarfaty · 2023 · 7 citations
- [The Knesset Corpus: An Annotated Corpus of Hebrew Parliamentary Proceedings](https://md.research.elamur.ai/free/en/papers/arxivrecent-2024-goldin-knesset-corpus-annotated-corpus-hebrew/) — Gili Goldin, Nick Howell, Noam Ordan, et al. · 2024 · 5 citations
- [Beyond Word Boundaries: A Hebrew Coreference Benchmark and an Evaluation Protocol for Morphologically Complex Text](https://md.research.elamur.ai/free/en/papers/coref-2026-greenfeld-beyond-word-boundaries-hebrew-coreference/) — Refael Shaked Greenfeld, Reut Tsarfaty · 2026

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