Automatic Dependency Parsing is a computational method that automatically identifies and establishes the syntactic dependency relations between words in a sentence, distinguishing it from manual or rule-based approaches by relying on data-driven models to predict hierarchical grammatical structures.
576
Publications
36.8K
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1.1K
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342
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Publications per year
2017–2026
133
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Automated Dependency Parsing
Parents
Publications
576
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Peng Qi, Yuhao Zhang, Yuhui Zhang et al. · 2020 · 1.4K citations · Full text
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1.1K
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1–5 of 1.1K
Institutions
342
Uppsala University
Uppsala, Sweden
24 h-index
47 publications
3.5K citations
Stanford University
Stanford, United States
24 h-index
74 publications
27.9K citations
Charles University
Prague, Czechia
22 h-index
111 publications
8K citations
Carnegie Mellon University
Pittsburgh, United States
15 h-index
39 publications
3.5K citations
Google (United States)
Mountain View, United States
15 h-index
35 publications
3.1K citations
University of Stuttgart
Stuttgart, Germany
13 h-index
29 publications
1.3K citations
University of Turku
Turku, Finland
11 h-index
46 publications
2.6K citations
Dublin City University
Dublin, Ireland
11 h-index
38 publications
2.3K citations
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- arXiv (Cornell University)
Repository · 17 publications · 821 citations
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- Language Resources and Evaluation
8 publications · 265 citations
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- Arrow@dit (Dublin Institute of Technology)
Repository · 8 publications · 312 citations
8
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- International Conference on Computational Linguistics
Conference · 7 publications · 598 citations
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- Computational Linguistics
7 publications · 750 citations
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