---
title: "Who cites UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task"
description: "188 papers of the Elamur Research library cite «UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/straka-2018-udpipe-2-0-prototype-conll/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/straka-2018-udpipe-2-0-prototype-conll/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task](https://md.research.elamur.ai/free/en/papers/straka-2018-udpipe-2-0-prototype-conll/) / cited by

# Who cites «UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task»

188 papers of our library cite it (of the 140,884 whose bibliographies we read) · 33 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/straka-2018-udpipe-2-0-prototype-conll/)

1. [**Stanza: A Python Natural Language Processing Toolkit for Many Human Languages**Peng Qi, Yuhao Zhang, Yuhui Zhang, et al.*2020 · 2,347 citations*](https://md.research.elamur.ai/free/en/papers/qi-2020-stanza-python-natural-language-processing/)
2. [**CamemBERT: a Tasty French Language Model**Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, et al.*2019 · 1,262 citations*](https://md.research.elamur.ai/free/en/papers/martin-2019-camembert-tasty-french-language-model/)
3. [**75 Languages, 1 Model: Parsing Universal Dependencies Universally**Dan Kondratyuk, Milan Straka*2019 · 415 citations*](https://md.research.elamur.ai/free/en/papers/kondratyuk-2019-75-languages-1-model-parsing/)
4. [**BERTje: A Dutch BERT Model**Wietse de Vries, Andreas van Cranenburgh, Arianna Bisazza, et al.*2019 · 357 citations*](https://md.research.elamur.ai/free/en/papers/de-vries-2019-bertje-dutch-bert-model/)
5. [**CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies**Daniel Zeman, Jan Hajič, Martin Popel, et al.*2018 · 316 citations*](https://md.research.elamur.ai/free/en/papers/zeman-2018-conll-2018-shared-task-multilingual/)
6. [**A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages**Pedro Javier Ortiz Suárez, Laurent Romary, Benoît Sagot*2020 · 219 citations*](https://md.research.elamur.ai/free/en/papers/suarez-2020-monolingual-approach-contextualized-word-embeddings/)
7. [**Systematic Inequalities in Language Technology Performance across the World's Languages**Damian Blasi, Antonios Anastasopoulos, Graham Neubig*2022 · 214 citations*](https://md.research.elamur.ai/free/en/papers/blasi-2022-systematic-inequalities-language-technology-performance/)
8. [**Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP**Rob van der Goot, Ahmet Üstün, Alan Ramponi, et al.*2021 · 177 citations*](https://md.research.elamur.ai/free/en/papers/goot-2021-massive-choice-ample-tasks-machamp/)
9. [**Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing**Minh Van Nguyen, Viet Dac Lai, Amir Pouran Ben Veyseh, et al.*2021 · 169 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2021-trankit-light-weight-transformer-based/)
10. [**Findings of the Second Shared Task on Multilingual Coreference Resolution**Zdeněk Žabokrtský, Miloslav Konopik, Anna Nedoluzhko, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/zabokrtsky-2023-findings-second-shared-task-multilingual/)
11. [**Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement**Alireza Mohammadshahi, James Henderson*2021 · 26 citations*](https://md.research.elamur.ai/free/en/papers/mohammadshahi-2021-recursive-non-autoregressive-graph-graph/)
12. [**Hybrid Enhanced Universal Dependencies Parsing**Johannes Heinecke*2020 · 20 citations*](https://md.research.elamur.ai/free/en/papers/heinecke-2020-hybrid-enhanced-universal-dependencies-parsing/)
13. [**Applying Occam's Razor to Transformer-Based Dependency Parsing: What Works, What Doesn't, and What is Really Necessary**Stefan Grünewald, Annemarie Friedrich, Jonas Kuhn*2021 · 18 citations*](https://md.research.elamur.ai/free/en/papers/grunewald-2021-applying-occam-s-razor-transformer/)
14. [**CamelParser2.0: A State-of-the-Art Dependency Parser for Arabic**Ahmed Elshabrawy, Muhammed AbuOdeh, Go Inoue, et al.*2023 · 13 citations*](https://md.research.elamur.ai/free/en/papers/elshabrawy-2023-camelparser2-0-state-art-dependency/)
15. [**Using Modern Languages to Parse Ancient Ones: a Test on Old English**Luca Brigada Villa, Martina Giarda*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/villa-2023-modern-languages-parse-ancient-ones/)
16. [**The ADAPT Enhanced Dependency Parser at the IWPT 2020 Shared Task**James Barry, Joachim Wagner, Jennifer Foster*2020 · 9 citations*](https://md.research.elamur.ai/free/en/papers/barry-2020-adapt-enhanced-dependency-parser-iwpt/)
17. [**Universal Grammatical Dependencies for Portuguese with CINTIL Data, LX Processing and CLARIN support**António Branco, João Ricardo Silva, Luís Gomes, et al.*2022 · 8 citations*](https://md.research.elamur.ai/free/en/papers/branco-2022-universal-grammatical-dependencies-portuguese-cintil/)
18. [**Yauti: A Tool for Morphosyntactic Analysis of Nheengatu within the Universal Dependencies Framework**Leonel Figueiredo de Alencar*2023 · 7 citations*](https://md.research.elamur.ai/free/en/papers/alencar-2023-yauti-tool-morphosyntactic-analysis-nheengatu/)
19. [**The Aligned Multimodal Movie Treebank: An audio, video, dependency-parse treebank**Adam Yaari, Jan DeWitt, Henry Hu, et al.*2022 · 7 citations*](https://md.research.elamur.ai/free/en/papers/yaari-2022-aligned-multimodal-movie-treebank-audio/)
20. [**Syntactic Language Change in English and German: Metrics, Parsers, and Convergences**Yanran Chen, Wei Zhao, Anne Breitbarth, et al.*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-syntactic-language-change-english-german/)
21. [**PARSEME 2.0 Multilingual Corpus of Multiword Expressions**Agata Savary, Manon Scholivet, Carlos Ramisch, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/savary-2026-parseme-2-0-multilingual-corpus/)
22. [**Step-by-step Instructions and a Simple Tabular Output Format Improve the Dependency Parsing Accuracy of LLMs**Hiroshi Matsuda, Chunpeng Ma, Masayuki Asahara*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/matsuda-2025-step-step-instructions-simple-tabular/)
23. [**A Universal Dependencies Treebank for Nheengatu**de Alencar, Leonel Figueiredo*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/alencar-2024-universal-dependencies-treebank-nheengatu/)
24. [**Improving Latvian Morphosyntactic Parsing with Pretrained Encoders and Analyzer-Constrained Decoding**Arturs Znotins*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/znotins-2026-improving-latvian-morphosyntactic-parsing-pretrained/)
25. [**Word Alignment-Based Evaluation of Uniform Meaning Representations**Daniel Zeman, Federica Gamba*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/zeman-2026-word-alignment-based-evaluation-uniform/)
26. [**Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models**Mohamed Adel, Bashar Alhafni, Nizar Habash*2026*](https://md.research.elamur.ai/free/en/papers/adel-2026-arabic-morphosyntactic-tagging-dependency-parsing/)
27. [**From CHAT to Coded CoNLL-U: A Reproducible Pipeline for the Syntactic Annotation and Querying of Child Language Data**Achim Stein*2026*](https://md.research.elamur.ai/free/en/papers/stein-2026-chat-coded-conll-u-reproducible/)
28. [**From Lemmatization to Legal Terminology: Assessing an Hybrid Pipeline on Justinian's Digest**Paola Marongiu, Eva Sassolini*2026*](https://md.research.elamur.ai/free/en/papers/marongiu-2026-lemmatization-legal-terminology-assessing-hybrid/)
29. [**Language Mixture to Develop Accurate Galician Dependency Parsers: An Exploration of Its Effects**Xabier Irastortza-Urbieta, José M. García-Miguel, Marcos Garcia*2026*](https://md.research.elamur.ai/free/en/papers/urbieta-2026-language-mixture-develop-accurate-galician/)
30. [**MesoTree: Annotated Linguistic Resources for Quantitative Comparative Linguistic Analysis and NLP in Mesoamerica**Robert Pugh, Francis Tyers, Robert Henderson*2026*](https://md.research.elamur.ai/free/en/papers/pugh-2026-mesotree-annotated-linguistic-resources-quantitative/)
31. [**SouDeC: Source Detection and Classification in Czech**Jiří Mírovský, Barbora Hladka*2026*](https://md.research.elamur.ai/free/en/papers/mirovsky-2026-soudec-source-detection-classification-czech/)
32. [**Syntax is the Key to Semantics: Combining Universal Dependencies and Abstract Meaning Representation**Johannes Heinecke*2026*](https://md.research.elamur.ai/free/en/papers/heinecke-2026-syntax-is-key-semantics-combining/)
33. [**Universal Dependencies for Sindhi**John Bauer, Sakiina Shah, Muhammad Shaheer, et al.*2025*](https://md.research.elamur.ai/free/en/papers/bauer-2025-universal-dependencies-sindhi/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/straka-2018-udpipe-2-0-prototype-conll/) — UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task
