Daniel Zeman

4.5k citations
78 papers · 1.9k indexed · 2 hit papers · h-index 21

Daniel Zeman

64 papers receiving 1.6k citations

Hit Papers

Universal Dependencies1642016202620192022100200300400500

Peers

Daniel Zeman
Comparison fields: 5 of 64
  • Artificial Intelligence 1.8k
  • Language and Linguistics 167
  • Computer Vision and Pattern Recognition 159
  • Cultural Studies 52
  • Linguistics and Language 23
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Zeman

Since Specialization
Citations

This map shows the geographic impact of Daniel Zeman'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 Daniel Zeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Zeman more than expected).

Fields of papers citing papers by Daniel Zeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Zeman. 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 Daniel Zeman. The network helps show where Daniel Zeman may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Daniel Zeman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Zeman Line = papers co-authored together Daniel Zeman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20220
4
Do UD Trees Match Mention Spans in Coreference Annotations?
20210
5
Yorùbá Dependency Treebank (YTB)
20200
6
Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection
20208
7
CoNLL 2018 Shared Task : Multilingual Parsing from Raw Text to Universal Dependencies
201896
8
If You Even Don’t Have a Bit of Bible: Learning Delexicalized POS Taggers
20163
9
Universal Dependencies v1: A Multilingual Treebank Collectionbreakdown →
2016575
10
Towards Comparability of Linguistic Graph Banks for Semantic Parsing
201624
11
HindEnCorp - Hindi-English and Hindi-only Corpus for Machine Translation
201463
12
HamleDT 2.0: Thirty Dependency Treebanks Stanfordized
201424
13
CUni Multilingual Matrix in the WMT 2013 Shared Task
20132
14
HamleDT: To Parse or Not to Parse?
201232
15
Data Issues in English-to-Hindi Machine Translation.
201010
16
Cross-Language Parser Adaptation between Related Languages
2008107
17
Reusable Tagset Conversion Using Tagset Drivers.
200869
18
Issues of Projectivity in the Prague Dependency Treebank.
200420
19 20012
20
Learning Verb Subcategorization from Corpora: Counting Frame Subsets.
20003

About Daniel Zeman

Daniel Zeman is a scholar working on Artificial Intelligence, Language and Linguistics, Classics, Cultural Studies and Computational Theory and Mathematics, having authored 78 papers that have together received 1.9k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (74 papers), Topic Modeling (58 papers), Semantic Web and Ontologies (16 papers), Text Readability and Simplification (16 papers), Speech and dialogue systems (9 papers), Biomedical Text Mining and Ontologies (4 papers), Authorship Attribution and Profiling (4 papers) and Algorithms and Data Compression (4 papers). The work is most often cited by research in Artificial Intelligence (1.8k citations), Language and Linguistics (167 citations), Computer Vision and Pattern Recognition (159 citations), Cultural Studies (52 citations) and Linguistics and Language (23 citations). Daniel Zeman has collaborated with scholars based in Czechia, United States and Sweden. Frequent co-authors include Jan Hajič, Christopher D. Manning, Marie-Catherine de Marneffe, Filip Ginter, Joakim Nivre, Slav Petrov, Philip Resnik, Sampo Pyysalo, Yoav Goldberg and Natalia Silveira. Their work appears in journals such as Language Resources and Evaluation, Computational Linguistics, Journal of Linguistics/Jazykovedný casopis, Computación y Sistemas and SHILAP Revista de lepidopterología.

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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