Milan Straka

2.9k total citations
32 papers, 1.2k citations indexed

About

Milan Straka is a scholar working on Artificial Intelligence, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Milan Straka has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 2 papers in Molecular Biology and 1 paper in Computer Networks and Communications. Recurrent topics in Milan Straka's work include Natural Language Processing Techniques (27 papers), Topic Modeling (18 papers) and Text Readability and Simplification (14 papers). Milan Straka is often cited by papers focused on Natural Language Processing Techniques (27 papers), Topic Modeling (18 papers) and Text Readability and Simplification (14 papers). Milan Straka collaborates with scholars based in Czechia, United States and Finland. Milan Straka's co-authors include Jana Straková, Jan Hajič, Dan Kondratyuk, Filip Ginter, Daniel Zeman, Martin Popel, Martin Potthast, Slav Petrov, Joakim Nivre and David Mareček and has published in prestigious journals such as Transportation, Language Resources and Evaluation and Research at the University of Copenhagen (University of Copenhagen).

In The Last Decade

Milan Straka

27 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Milan Straka Czechia 12 1.1k 88 84 68 66 32 1.2k
Jana Straková Czechia 5 642 0.6× 33 0.4× 61 0.7× 46 0.7× 60 0.9× 15 769
Micha Elsner United States 16 783 0.7× 67 0.8× 106 1.3× 28 0.4× 28 0.4× 46 922
Sara Tonelli Italy 20 1.0k 1.0× 58 0.7× 158 1.9× 66 1.0× 51 0.8× 108 1.2k
Lluís Padró Spain 17 1.3k 1.2× 49 0.6× 205 2.4× 143 2.1× 59 0.9× 95 1.5k
Reut Tsarfaty Israel 15 1.1k 1.0× 122 1.4× 66 0.8× 63 0.9× 16 0.2× 57 1.2k
José Camacho-Collados United Kingdom 20 1.3k 1.2× 144 1.6× 113 1.3× 22 0.3× 24 0.4× 72 1.4k
Menno van Zaanen Netherlands 12 482 0.5× 67 0.8× 78 0.9× 37 0.5× 25 0.4× 88 703
Marta Vilar Recasens Spain 15 1.1k 1.0× 41 0.5× 86 1.0× 69 1.0× 65 1.0× 27 1.2k
Mohammad Taher Pilehvar United Kingdom 20 1.4k 1.3× 141 1.6× 114 1.4× 31 0.5× 32 0.5× 59 1.5k
Katrin Erk United States 26 1.8k 1.7× 146 1.7× 108 1.3× 119 1.8× 25 0.4× 84 2.0k

Countries citing papers authored by Milan Straka

Since Specialization
Citations

This map shows the geographic impact of Milan Straka's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Milan Straka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milan Straka more than expected).

Fields of papers citing papers by Milan Straka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Milan Straka. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Milan Straka. The network helps show where Milan Straka may publish in the future.

Co-authorship network of co-authors of Milan Straka

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Straka. A scholar is included among the top collaborators of Milan Straka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Milan Straka. Milan Straka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Novák, Michal, Miloslav Konopík, Anna Nedoluzhko, et al.. (2025). Findings of the Fourth Shared Task on Multilingual Coreference Resolution: Can LLMs Dethrone Traditional Approaches?. 95–118.
2.
3.
Novák, Michal, Miloslav Konopík, Anna Nedoluzhko, et al.. (2024). Findings of the Third Shared Task on Multilingual Coreference Resolution. 78–96.
4.
5.
Straka, Milan, et al.. (2023). Factors influencing the perceived value of travel time in European urban areas. Transportation. 51(4). 1525–1545. 7 indexed citations
6.
Straka, Milan, et al.. (2021). ÚFAL at MultiLexNorm 2021: Improving Multilingual Lexical Normalization by Fine-tuning ByT5. 483–492. 6 indexed citations
7.
Straková, Jana, Milan Straka, & Jan Hajič. (2019). Neural Architectures for Nested NER through Linearization. 5326–5331. 175 indexed citations
8.
Kondratyuk, Dan & Milan Straka. (2019). 75 Languages, 1 Model: Parsing Universal Dependencies Universally. 2779–2795. 109 indexed citations
9.
10.
Straka, Milan. (2018). . 197–207. 48 indexed citations
11.
Zeman, Daniel, Jan Hajič, Martin Popel, et al.. (2018). CoNLL 2018 Shared Task : Multilingual Parsing from Raw Text to Universal Dependencies. 1–21. 96 indexed citations
12.
Straka, Milan, et al.. (2018). SumeCzech: Large Czech News-Based Summarization Dataset.. Language Resources and Evaluation. 6 indexed citations
13.
Straka, Milan, et al.. (2018). Diacritics Restoration Using Neural Networks.. Language Resources and Evaluation. 16 indexed citations
14.
Žabokrtský, Zdeněk, et al.. (2018). Using Adversarial Examples in Natural Language Processing. Language Resources and Evaluation. 3 indexed citations
15.
Straka, Milan & Jana Straková. (2017). Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe. 88–99. 284 indexed citations
16.
Straka, Milan. (2017). CoNLL 2017 Shared Task - UDPipe Baseline Models and Supplementary Materials. Americanae (AECID Library). 2 indexed citations
17.
Žabokrtský, Zdeněk, et al.. (2016). Merging Data Resources for Inflectional and Derivational Morphology in Czech. Language Resources and Evaluation. 1307–1314. 10 indexed citations
18.
Straka, Milan, Jan Hajič, & Jana Straková. (2016). UDPipe: Trainable Pipeline for Processing CoNLL-U Files Performing Tokenization, Morphological Analysis, POS Tagging and Parsing. Language Resources and Evaluation. 4290–4297. 201 indexed citations
19.
Straková, Jana, Milan Straka, & Jan Hajič. (2014). Open-Source Tools for Morphology, Lemmatization, POS Tagging and Named Entity Recognition. 13–18. 69 indexed citations
20.
Mareček, David & Milan Straka. (2013). Stop-probability estimates computed on a large corpus improve Unsupervised Dependency Parsing. Meeting of the Association for Computational Linguistics. 281–290. 17 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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