---
title: "Who cites 75 Languages, 1 Model: Parsing Universal…"
description: "The papers of the Elamur Research library that cite «75 Languages, 1 Model: Parsing Universal Dependencies Universally», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/ud-2019-kondratyuk-75-languages-1-model-parsing/cited-by/"
---
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# Who cites «75 Languages, 1 Model: Parsing Universal Dependencies Universally»

190 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/ud-2019-kondratyuk-75-languages-1-model-parsing/)

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/ud-2019-kondratyuk-75-languages-1-model-parsing/cited-by/page/2/)

1. [Dependency Parsing Across the Resource Spectrum: Evaluating Architectures on High and Low-Resource Languages](https://arxiv.org/abs/2605.02608) *— 2026 · arXiv:2605.02608*
2. [Encoding Logical Relations of Chinese Complex Sentences within the Universal Dependencies Framework](https://md.research.elamur.ai/free/en/papers/zhu-2026-encoding-logical-relations-chinese-complex/) *— our card · 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
3. [Improving Latvian Morphosyntactic Parsing with Pretrained Encoders and Analyzer-Constrained Decoding](https://aclanthology.org/2026.lrec-1.918/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
4. [Language Mixture to Develop Accurate Galician Dependency Parsers: An Exploration of Its Effects](https://aclanthology.org/2026.vardial-1.5/) *— 2026 · Proceedings of the 13th Workshop on NLP for Similar Languages, Varieties and Dialects*
5. [Ossetic-COT: Designing a morphologically annotated corpus and morphological analyzer for Ossetic](https://arxiv.org/abs/2607.04895) *— 2026 · arXiv:2607.04895 · Computational Linguistics and Intellectual Technologies. Proceedings of the International Conference Dialogue 2026 (2026) 544-555*
6. [Sagarmatha at SemEval-2026 Task 9: Heterogeneous Ensembling and Hierarchical Task Conditioning for Multilingual Latent Distributional Divergence Modeling](https://aclanthology.org/2026.semeval-1.382/) *— 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)*
7. [Superframes: A Schema for Lexicon-free Frame-semantic Annotation](https://aclanthology.org/2026.dmr-1.11/) *— 2026 · Proceedings of The Seventh International Workshop on Designing Meaning Representations (DMR 2026) @ LREC 2026*
8. [Transfer Learning for an Endangered Slavic Variety: Dependency Parsing in Pomak Across Contact-Shaped Dialects](https://aclanthology.org/2026.dialres-1.34/) *— 2026 · Proceedings of the First Workshop on Dialects in NLP –- A Resource Perspective*
9. [Typology-Aware Multilingual Morphosyntactic Parsing with Joint Abstract Node Modeling](https://aclanthology.org/2026.acl-long.2212/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
10. [Zero-shot Dependency Parsing with Unsupervised Cross-Lingual Bootstrapping](https://arxiv.org/abs/2609.37883) *— 2026 · arXiv:2609.37883*
11. [Cross-Linguistic Transfer in Multilingual NLP: The Role of Language Families and Morphology](https://arxiv.org/abs/2505.13908) *— 2025 · arXiv:2505.13908*
12. [Memory-enhanced Large Language Model for Cross-lingual Dependency Parsing via Deep Hierarchical Syntax Understanding](https://aclanthology.org/2025.findings-emnlp.101/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
13. [Structure Modeling Approach for UD Parsing of Historical Modern Japanese](https://aclanthology.org/2025.xllm-1.12/) *— 2025 · Proceedings of the 1st Joint Workshop on Large Language Models and Structure Modeling (XLLM 2025)*
14. [The Thai Universal Dependency Treebank](https://aclanthology.org/2025.tacl-1.18/) *— 2025*
15. [The UD-NewsCrawl Treebank: Reflections and Challenges from a Large-scale Tagalog Syntactic Annotation Project](https://aclanthology.org/2025.acl-long.357/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
16. [The revision of linguistic annotation in the Universal Dependencies framework: a look at the annotators” behavior](https://aclanthology.org/2025.law-1.5/) *— 2025 · Proceedings of the 19th Linguistic Annotation Workshop (LAW-XIX-2025)*
17. [Typology-aware Multilingual Morphosyntactic Parsing with Functional Node Filtering](https://aclanthology.org/2025.unidive-1.3/) *— 2025 · Proceedings of The UniDive 2025 Shared Task on Multilingual Morpho-Syntactic Parsing*
18. [A Truly Joint Neural Architecture for Segmentation and Parsing](https://md.research.elamur.ai/free/en/papers/eacl-2024-levi-truly-joint-neural-architecture-segmentation/) *— our card · 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [Cross-Lingual Transfer from Related Languages: Treating Low-Resource Maltese as Multilingual Code-Switching](https://aclanthology.org/2024.eacl-long.61/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [Dependency Parser for Bulgarian](https://aclanthology.org/2024.clib-1.9/) *— 2024 · Proceedings of the Sixth International Conference on Computational Linguistics in Bulgaria (CLIB 2024)*
21. [Efficient Structured Prediction with Transformer Encoders](https://nejlt.ep.liu.se/article/view/4932) *— 2024 · Northern European Journal of Language Technology*
22. [Experiments in Multi-Variant Natural Language Processing for Nahuatl](https://aclanthology.org/2024.vardial-1.12/) *— 2024 · Proceedings of the Eleventh Workshop on NLP for Similar Languages, Varieties, and Dialects (VarDial 2024)*
23. [Genipapo - a Multigenre Dependency Parsing for Brazilian Portuguese](https://aclanthology.org/2024.stil-1.14/) *— 2024 · Proceedings of the 15th Brazilian Symposium in Information and Human Language Technology*
24. [Heidelberg-Boston @ SIGTYP 2024 Shared Task: Enhancing Low-Resource Language Analysis With Character-Aware Hierarchical Transformers](https://aclanthology.org/2024.sigtyp-1.16/) *— 2024 · Proceedings of the 6th Workshop on Research in Computational Linguistic Typology and Multilingual NLP*
25. [Improving Latin Dependency Parsing by Combining Treebanks and Predictions](https://aclanthology.org/2024.nlp4dh-1.21/) *— 2024 · Proceedings of the 4th International Conference on Natural Language Processing for Digital Humanities*
26. [MACT: Model-Agnostic Cross-Lingual Training for Discourse Representation Structure Parsing](https://arxiv.org/abs/2406.01052) *— 2024 · arXiv:2406.01052*
27. [Model-Agnostic Cross-Lingual Training for Discourse Representation Structure Parsing](https://aclanthology.org/2024.lrec-main.1004/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
28. [More room for language: Investigating the effect of retrieval on language models](https://aclanthology.org/2024.naacl-short.26/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)*
29. [Multi-features Enhanced Multi-task Learning for Vietnamese Treebank Conversion](https://aclanthology.org/2024.ccl-1.80/) *— 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)*
30. [On the Role of Morphological Information for Contextual Lemmatization](https://md.research.elamur.ai/free/en/papers/cl-2024-toporkov-role-morphological-information-contextual-lemmatization/) *— our card · 2024 · Computational Linguistics*
31. [One Model is All You Need: ByT5-Sanskrit, a Unified Model for Sanskrit NLP Tasks](https://aclanthology.org/2024.findings-emnlp.805/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
32. [Overcoming Early Saturation on Low-Resource Languages in Multilingual Dependency Parsing](https://aclanthology.org/2024.mwe-1.10/) *— 2024 · Proceedings of the Joint Workshop on Multiword Expressions and Universal Dependencies (MWE-UD) @ LREC-COLING 2024*
33. [Parsing for Mauritian Creole Using Universal Dependencies](https://aclanthology.org/2024.lrec-main.1105/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
34. [Recipe for Zero-shot POS Tagging: Is It Useful in Realistic Scenarios?](https://aclanthology.org/2024.mrl-1.9/) *— 2024 · Proceedings of the Fourth Workshop on Multilingual Representation Learning (MRL 2024)*
35. [Representation Alignment and Adversarial Networks for Cross-lingual Dependency Parsing](https://aclanthology.org/2024.findings-emnlp.452/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
36. [Syntactic parsing: where are we going?](https://aclanthology.org/2024.stil-1.25/) *— 2024 · Proceedings of the 15th Brazilian Symposium in Information and Human Language Technology*
37. [Towards Portparser - a highly accurate parsing system for Brazilian Portuguese following the Universal Dependencies framework](https://aclanthology.org/2024.propor-1.41/) *— 2024 · Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1*
38. [Where are we Still Split on Tokenization?](https://aclanthology.org/2024.findings-eacl.9/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
39. [mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and Humans](https://aclanthology.org/2024.findings-acl.844/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
40. [mini-CIEP+ : A Shareable Parallel Corpus of Prose](https://aclanthology.org/2024.bucc-1.15/) *— 2024 · Proceedings of the 17th Workshop on Building and Using Comparable Corpora (BUCC) @ LREC-COLING 2024*
41. [A Kind Introduction to Lexical and Grammatical Aspect, with a Survey of Computational Approaches](https://aclanthology.org/2023.eacl-main.44/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
42. [Corpus-based Syntactic Typological Methods for Dependency Parsing Improvement](https://aclanthology.org/2023.sigtyp-1.8/) *— 2023 · Proceedings of the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP*
43. [Cross-Lingual Transfer with Language-Specific Subnetworks for Low-Resource Dependency Parsing](https://aclanthology.org/2023.cl-3.3/) *— 2023 · Computational Linguistics*
44. [End-to-end Dependency Parsing via Auto-regressive Large Language Model](https://aclanthology.org/2023.clicit-1.30/) *— 2023 · Proceedings of the Ninth Italian Conference on Computational Linguistics (CLiC-it 2023)*
45. [Exploring the Impact of Transliteration on NLP Performance: Treating Maltese as an Arabic Dialect](https://aclanthology.org/2023.cawl-1.4/) *— 2023 · Proceedings of the Workshop on Computation and Written Language (CAWL 2023)*
46. [Improving Zero-Shot Dependency Parsing by Unsupervised Learning](https://aclanthology.org/2023.paclic-1.22/) *— 2023 · Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation*
47. [Investigating UD Treebanks via Dataset Difficulty Measures](https://aclanthology.org/2023.eacl-main.76/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
48. [Methodological issues regarding the semi-automatic UD treebank creation of under-resourced languages: the case of Pomak](https://aclanthology.org/2023.udw-1.4/) *— 2023 · Proceedings of the Sixth Workshop on Universal Dependencies (UDW, GURT/SyntaxFest 2023)*
49. [Morphosyntactic probing of multilingual BERT models](https://arxiv.org/abs/2306.06205) *— 2023 · arXiv:2306.06205 · Nat. Lang. Eng. 30 (2024) 753-792*
50. [MuLMS: A Multi-Layer Annotated Text Corpus for Information Extraction in the Materials Science Domain](https://aclanthology.org/2023.wiesp-1.11/) *— 2023 · Proceedings of the Second Workshop on Information Extraction from Scientific Publications*
51. [NorBench – A Benchmark for Norwegian Language Models](https://aclanthology.org/2023.nodalida-1.61/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
52. [Not all layers are equally as important: Every Layer Counts BERT](https://aclanthology.org/2023.conll-babylm.20/) *— 2023 · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning*
53. [Parts of Speech (PoS) and Universal Parts of Speech (UPoS) Tagging: A Critical Review with Special Reference to Low Resource Languages](https://aclanthology.org/2023.icon-1.70/) *— 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)*
54. [Systematic Investigation of Strategies Tailored for Low-Resource Settings for Low-Resource Dependency Parsing](https://aclanthology.org/2023.eacl-main.158/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
55. [Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT Models](https://arxiv.org/abs/2306.16322) *— 2023 · arXiv:2306.16322*
56. [Teacher Perception of Automatically Extracted Grammar Concepts for L2 Language Learning](https://aclanthology.org/2023.findings-emnlp.246/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
57. [Tokenization with Factorized Subword Encoding](https://aclanthology.org/2023.findings-acl.890/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
58. [Transformers as Graph-to-Graph Models](https://aclanthology.org/2023.bigpicture-1.8/) *— 2023 · Proceedings of the Big Picture Workshop*
59. [Typology Guided Multilingual Position Representations: Case on Dependency Parsing](https://aclanthology.org/2023.findings-acl.854/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
60. [A Novel Multi-Task Learning Approach for Context-Sensitive Compound Type Identification in Sanskrit](https://aclanthology.org/2022.coling-1.358/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
61. [Analysing Syntactic and Semantic Features in Pre-trained Language Models in a Fully Unsupervised Setting](https://aclanthology.org/2022.icon-main.3/) *— 2022 · Proceedings of the 19th International Conference on Natural Language Processing (ICON)*
62. [Analyzing the Mono- and Cross-Lingual Pretraining Dynamics of Multilingual Language Models](https://aclanthology.org/2022.emnlp-main.234/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
63. [Bengali and Magahi PUD Treebank and Parser](https://aclanthology.org/2022.wildre-1.11/) *— 2022 · Proceedings of the WILDRE-6 Workshop within the 13th Language Resources and Evaluation Conference*
64. [Cross-Lingual Open-Domain Question Answering with Answer Sentence Generation](https://aclanthology.org/2022.aacl-main.27/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
65. [Data Augmentation and Learned Layer Aggregation for Improved Multilingual Language Understanding in Dialogue](https://aclanthology.org/2022.findings-acl.160/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
66. [Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological Segmentation](https://aclanthology.org/2022.tacl-1.23/) *— 2022 · Transactions of the Association for Computational Linguistics*
67. [Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation](https://aclanthology.org/2022.acl-long.61/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
68. [Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning](https://aclanthology.org/2022.acl-long.85/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
69. [Graph Neural Networks for Multiparallel Word Alignment](https://aclanthology.org/2022.findings-acl.108/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
70. [Graph-Based Multilingual Label Propagation for Low-Resource Part-of-Speech Tagging](https://aclanthology.org/2022.emnlp-main.102/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
71. [Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing](https://aclanthology.org/2022.acl-long.582/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
72. [Morphologically annotated corpora of Pomak](https://aclanthology.org/2022.computel-1.22/) *— 2022 · Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages*
73. [Multilingual Syntax-aware Language Modeling through Dependency Tree Conversion](https://aclanthology.org/2022.spnlp-1.1/) *— 2022 · Proceedings of the Sixth Workshop on Structured Prediction for NLP*
74. [On Efficiently Acquiring Annotations for Multilingual Models](https://aclanthology.org/2022.acl-short.9/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
75. [Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and BERT Models for Maltese](https://aclanthology.org/2022.deeplo-1.10/) *— 2022 · Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing*
76. [Raccoons at SemEval-2022 Task 11: Leveraging Concatenated Word Embeddings for Named Entity Recognition](https://aclanthology.org/2022.semeval-1.217/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
77. [Revisiting the Effects of Leakage on Dependency Parsing](https://aclanthology.org/2022.findings-acl.230/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
78. [Systematic Inequalities in Language Technology Performance across the World's Languages](https://aclanthology.org/2022.acl-long.376/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
79. [TwittIrish: A Universal Dependencies Treebank of Tweets in Modern Irish](https://aclanthology.org/2022.acl-long.473/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
80. [Universal Dependencies for Western Sierra Puebla Nahuatl](https://aclanthology.org/2022.lrec-1.535/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
81. [Universal Grammatical Dependencies for Portuguese with CINTIL Data, LX Processing and CLARIN support](https://aclanthology.org/2022.lrec-1.603/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
82. [Uppsala University at SemEval-2022 Task 1: Can Foreign Entries Enhance an English Reverse Dictionary?](https://aclanthology.org/2022.semeval-1.10/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
83. [Weakly Supervised Headline Dependency Parsing](https://aclanthology.org/2022.findings-emnlp.487/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
84. [Yet Another Format of Universal Dependencies for Korean](https://aclanthology.org/2022.coling-1.482/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
85. [A Language-aware Approach to Code-switched Morphological Tagging](https://aclanthology.org/2021.calcs-1.10/) *— 2021 · Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching*
86. [A Universal Dependencies Corpora Maintenance Methodology Using Downstream Application](https://aclanthology.org/2021.sigtyp-1.3/) *— 2021 · Proceedings of the Third Workshop on Computational Typology and Multilingual NLP*
87. [A corpus of K'iche' annotated for morphosyntactic structure](https://aclanthology.org/2021.americasnlp-1.2/) *— 2021 · Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas*
88. [Applying Occam”s Razor to Transformer-Based Dependency Parsing: What Works, What Doesn”t, and What is Really Necessary](https://md.research.elamur.ai/free/en/papers/grunewald-2021-applying-occam-s-razor-transformer/) *— our card · 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)*
89. [Attention Can Reflect Syntactic Structure (If You Let It)](https://aclanthology.org/2021.eacl-main.264/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
90. [Automated Concatenation of Embeddings for Structured Prediction](https://aclanthology.org/2021.acl-long.206/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
91. [Avaliação de parsers na detecão de relaões essenciais do modelo Universal Dependencies para o português](https://aclanthology.org/2021.stil-1.49/) *— 2021 · Proceedings of the 13th Brazilian Symposium in Information and Human Language Technology*
92. [Can predicate-argument relationships be extracted from UD trees?](https://md.research.elamur.ai/free/en/papers/ek-2021-can-predicate-argument-relationships-be/) *— our card · 2021 · Proceedings of the Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop*
93. [Climbing the Tower of Treebanks: Improving Low-Resource Dependency Parsing via Hierarchical Source Selection](https://aclanthology.org/2021.findings-acl.431/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
94. [Coordinate Constructions in English Enhanced Universal Dependencies: Analysis and Computational Modeling](https://md.research.elamur.ai/free/en/papers/grunewald-2021-coordinate-constructions-english-enhanced-universal/) *— our card · 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
95. [Cross-Lingual Leveled Reading Based on Language-Invariant Features](https://aclanthology.org/2021.findings-emnlp.227/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
96. [Cross-Lingual Transfer in Zero-Shot Cross-Language Entity Linking](https://aclanthology.org/2021.findings-acl.52/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
97. [Cross-lingual Visual Pre-training for Multimodal Machine Translation](https://aclanthology.org/2021.eacl-main.112/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
98. [Dependency Parsing Evaluation for Low-resource Spontaneous Speech](https://md.research.elamur.ai/free/en/papers/ud-2021-liu-dependency-parsing-evaluation-low-resource/) *— our card · 2021 · Proceedings of the Second Workshop on Domain Adaptation for NLP*
99. [End-to-end mBERT based Seq2seq Enhanced Dependency Parser with Linguistic Typology knowledge](https://aclanthology.org/2021.iwpt-1.24/) *— 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)*
100. [Evaluating Transferability of BERT Models on Uralic Languages](https://aclanthology.org/2021.iwclul-1.2/) *— 2021 · Proceedings of the Seventh International Workshop on Computational Linguistics of Uralic Languages*

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/ud-2019-kondratyuk-75-languages-1-model-parsing/cited-by/page/2/)