--- title: "Milan Straka — author profile and papers" description: "Milan Straka, Charles University: 11 papers on Elamur Research (2016–2026), h-index 22 — affiliations, topics, co-authors and who cites them in our…" canonical: "https://research.elamur.ai/free/en/authors/milan-straka/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/milan-straka/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Milan Straka # Milan Straka 11 papers on this site · 2016–2026 current affiliation [Charles University](https://md.research.elamur.ai/free/en/universities/charles-university/), Prague, Czechia Milan Straka has 11 papers on this site, in 2016–2026, most of them on [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Universal Dependencies](https://md.research.elamur.ai/free/en/topics/universal-dependencies/), [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/); often with [Daniel Zeman](https://md.research.elamur.ai/free/en/authors/daniel-zeman/), [Jan Hajič](https://md.research.elamur.ai/free/en/authors/jan-hajic/), [Jana Straková](https://md.research.elamur.ai/free/en/authors/jana-strakova/). 8 of them are among the papers [Mova](https://md.research.elamur.ai/free/en/projects/mova/) reads. [OpenAlex](https://openalex.org/A5060081515) · [ORCID](https://orcid.org/0000-0003-3295-5576) · [**h-index 22**](https://openalex.org/authors/A5060081515) · [127 works](https://openalex.org/works?filter=author.id:A5060081515) · [3 074 citations](https://openalex.org/works?filter=author.id:A5060081515&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [11 works on this site](https://md.research.elamur.ai/free/en/authors/milan-straka/#papers) · [1 454 citations in our library](https://md.research.elamur.ai/free/en/authors/milan-straka/cited-by/) · 3 more works in our library The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Milan+Straka) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Milan+Straka) · [dblp](https://dblp.org/search?q=Milan+Straka) · [ACL Anthology](https://aclanthology.org/search/?q=Milan+Straka) ## Affiliations - [Charles University](https://md.research.elamur.ai/free/en/universities/charles-university/) · Prague, Czechia —current · 2007–2026 on 70 papers From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed. ## Topics [Multilingual & cross-lingual NLP 6](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Universal Dependencies 5](https://md.research.elamur.ai/free/en/topics/universal-dependencies/) · [Coreference resolution 4](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Part-of-speech tagging 2](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/) · [Evaluation & benchmarks 2](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Named entity recognition 1](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Dependency parsing 1](https://md.research.elamur.ai/free/en/topics/dependency-parsing/) · [Morphology 1](https://md.research.elamur.ai/free/en/topics/morphology/) · [Tokenization & segmentation 1](https://md.research.elamur.ai/free/en/topics/tokenization/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/papers/novak-2026-findings-fifth-shared-task-multilingual/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/papers/novak-2025-findings-fourth-shared-task-multilingual/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/papers/straka-2023-fal-corpipe-crac-2023-larger/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/papers/straka-2022-fal-corpipe-crac-2022-effectivity/) ### 2010s [**2019** 2 papers](https://md.research.elamur.ai/free/en/authors/milan-straka/year/2019/) · [**2018** 2 papers](https://md.research.elamur.ai/free/en/authors/milan-straka/year/2018/) · [**2017** 2 papers](https://md.research.elamur.ai/free/en/authors/milan-straka/year/2017/) · [**2016** 1 paper](https://md.research.elamur.ai/free/en/papers/ud-2016-straka-udpipe-trainable-pipeline-processing-conll/) ## Papers The most cited first (OpenAlex and our library). 1. **[Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe](https://md.research.elamur.ai/free/en/papers/ud-2017-straka-tokenizing-pos-tagging-lemmatizing-parsing/)** *(2017 · 811 citations)* The paper describes UDPipe 1.1 (the shared-task baseline) and UDPipe 1.2 (the participant system, which placed 8th of 33). 2. **[CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies](https://md.research.elamur.ai/free/en/papers/ud-2017-zeman-conll-2017-shared-task-multilingual/)** *(2017 · 604 citations)* The shared task asks systems to parse raw text, with no gold tokenization, sentence splitting or tags, into UD trees for 49 languages. 3. **[UDPipe: Trainable Pipeline for Processing CoNLL-U Files Performing Tokenization, Morphological Analysis, POS Tagging and Parsing](https://md.research.elamur.ai/free/en/papers/ud-2016-straka-udpipe-trainable-pipeline-processing-conll/)** *(2016 · 478 citations)* UDPipe is one binary with one model per language that turns raw text into CoNLL-U: tokenisation, morphological analysis, tagging, lemmatisation and dependency parsing. 4. **[75 Languages, 1 Model: Parsing Universal Dependencies Universally](https://md.research.elamur.ai/free/en/papers/ud-2019-kondratyuk-75-languages-1-model-parsing/)** *(2019 · 415 citations)* UDify is one multilingual model for all 124 UD v2.3 treebanks in 75 languages. Its encoder is multilingual BERT, fine-tuned on all treebanks concatenated, with simple per-task output layers for UPOS, features, lemmas (predicted as edit scripts) and dependencies. Each task learns its own weighting over the BERT… 5. **[Neural Architectures for Nested NER through Linearization](https://md.research.elamur.ai/free/en/papers/strakova-2019-neural-architectures-nested-ner-through/)** *(2019 · 400 citations)* Nested named entity recognition deals with mentions that overlap or sit inside one another. For example, a country name can appear within a longer organization name. Earlier systems handled this by building explicit structures such as constituency trees, hypergraphs or stacked recognizers. This paper avoids any such… 6. **[CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies](https://md.research.elamur.ai/free/en/papers/ud-2018-zeman-conll-2018-shared-task-multilingual/)** *(2018 · 316 citations)* This overview describes the second CoNLL shared task on parsing raw text into UD. Systems start from raw text, with no gold segmentation or tags, and are scored on 82 test treebanks, with macro-averaged LAS and two new metrics, MLAS (labels plus morphological features) and BLEX (lemmas plus labels). Eight new… 7. **[UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task](https://md.research.elamur.ai/free/en/papers/ud-2018-straka-udpipe-2-0-prototype-conll/)** *(2018 · 303 citations)* The paper describes the UDPipe 2.0 prototype that Straka entered in the CoNLL 2018 shared task (raw text to Universal Dependencies). 8. **[ÚFAL CorPipe at CRAC 2023: Larger Context Improves Multilingual Coreference Resolution](https://md.research.elamur.ai/free/en/papers/straka-2023-fal-corpipe-crac-2023-larger/)** *(2023 · 17 citations)* The paper describes CorPipe, the system that took first place in the multilingual coreference resolution competition held at CRAC 2023. 9. **[ÚFAL CorPipe at CRAC 2022: Effectivity of Multilingual Models for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/straka-2022-fal-corpipe-crac-2022-effectivity/)** *(2022 · 12 citations)* This paper presents CorPipe, the ÚFAL system that took first place in the shared task on resolving coreference across many languages organized at CRAC 2022. The task covered 13 datasets in 10 languages from CorefUD 1.0, with all datasets weighted equally. 10. **[Findings of the Fourth Shared Task on Multilingual Coreference Resolution: Can LLMs Dethrone Traditional Approaches?](https://md.research.elamur.ai/free/en/papers/novak-2025-findings-fourth-shared-task-multilingual/)** *(2025 · 10 citations)* This overview reports the fourth edition of the multilingual coreference shared task at CODI-CRAC 2025. Participants had to detect mentions, including zero mentions in pro-drop languages, and cluster them by identity coreference. The data came from CorefUD 1.3, with 22 datasets in 17 languages used in the task; new… 11. **[Findings of the Fifth Shared Task on Multilingual Coreference Resolution: Expanding Datasets for Long-Range Entities](https://md.research.elamur.ai/free/en/papers/novak-2026-findings-fifth-shared-task-multilingual/)** *(2026 · 6 citations)* The fifth edition of the multilingual coreference shared task, held with CODI-CRAC 2026, again asked for mention detection and identity coreference clustering. ## Also in our library 3 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## Co-authors here 12 of 39 co-authors with a page, the most papers together first. - [Daniel Zeman](https://md.research.elamur.ai/free/en/authors/daniel-zeman/) ×4 - [Jan Hajič](https://md.research.elamur.ai/free/en/authors/jan-hajic/) ×4 - [Jana Straková](https://md.research.elamur.ai/free/en/authors/jana-strakova/) ×4 - [Martin Popel](https://md.research.elamur.ai/free/en/authors/martin-popel/) ×4 - [Anna Nedoluzhko](https://md.research.elamur.ai/free/en/authors/anna-nedoluzhko/) ×3 - [Filip Ginter](https://md.research.elamur.ai/free/en/authors/filip-ginter/) ×2 - [Jakub Sido](https://md.research.elamur.ai/free/en/authors/jakub-sido/) ×2 - [Joakim Nivre](https://md.research.elamur.ai/free/en/authors/joakim-nivre/) ×2 - [Martin Potthast](https://md.research.elamur.ai/free/en/authors/martin-potthast/) ×2 - [Michal Novák](https://md.research.elamur.ai/free/en/authors/michal-novak/) ×2 - [Miloslav Konopik](https://md.research.elamur.ai/free/en/authors/miloslav-konopik/) ×2 - [Ondrej Prazak](https://md.research.elamur.ai/free/en/authors/ondrej-prazak/) ×2 ## Cited by Papers of our library cite their works 1 454 times (of the 140 884 papers whose bibliographies we read); [147 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/milan-straka/cited-by/).