Dependency Tree Evaluation
Dependency Tree Evaluation is a formal metric-based methodology within natural language processing that assesses the syntactic accuracy of computationally generated dependency trees by comparing their structural configurations against gold-standard annotated trees according to established evaluation criteria.
90
Publications
3.7K
Citations
228
Authors
110
Institutions
Publications per year
2017–2026
14
Parents
90
Jan Hajič, Jan Štěpánek, Pavel Straňák et al. · 2009 · 342 citations · Full text
Language Studies, Computer Science, Computational Linguistics +16
Efficient Third-Order Dependency Parsers
Terry Koo, Michael Collins · 2010 · 200 citations
Language Studies, Computer Science, Computational Linguistics +11
SemEval 2015 Task 18: Broad-Coverage Semantic Dependency Parsing
Stephan Oepen, Marco Kuhlmann, Yusuke Miyao et al. · 2015 · 135 citations · Full text
Language Studies, Computer Science, Computational Linguistics +13
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110
Dublin City University
Dublin, Ireland
9 h-index
17 publications
610 citations
Stanford University
Stanford, United States
7 h-index
14 publications
1.2K citations
Charles University
Prague, Czechia
5 h-index
18 publications
2.2K citations

Uppsala University
Uppsala, Sweden
5 h-index
10 publications
682 citations

Saarland University
Saarbrücken, Germany
4 h-index
4 publications
431 citations

University of Oslo
Oslo, Norway
4 h-index
6 publications
172 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
4 publications
207 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
11 publications
209 citations
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Repository · 4 publications · 186 citations
4
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Repository · 2 publications · 50 citations
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Conference · 2 publications · 27 citations
2
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1 publications · 12 citations
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1 publications · 23 citations
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