Statistical Parsing
Statistical Parsing is a syntactic parsing methodology that employs probabilistic models to assign syntactic structures to sentences based on statistical patterns derived from annotated corpora.
440
Publications
38.4K
Citations
780
Authors
257
Institutions
Publications per year
2017–2026
16
Variants
Probabilistic Parsing
440
A Maximum-Entropy-Inspired Parser
Eugene Charniak · 1999 · 1.5K citations
Language Studies, Computer Science, Computational Linguistics +16
Abstract Meaning Representation for Sembanking
Laura Banarescu, Claire Bonial, Shu Cai et al. · Edinburgh Research Explorer (University of Edinburgh) · 2013 · 1.1K citations · Full text
An algorithm for pronominal anaphora resolution
Shalom Lappin, Herbert J. Leass · 1994 · 765 citations
1–5 of 440
780
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Institut national de recherche en sciences et technologies du numérique, France
11 publications · 395 citations
11
h-index
11
h-index
10
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1–5 of 780
257
University of Pennsylvania
Philadelphia, United States
22 h-index
39 publications
6.1K citations

University of Edinburgh
Edinburgh, United Kingdom
17 h-index
38 publications
5.7K citations

Johns Hopkins University
Baltimore, United States
13 h-index
28 publications
1.9K citations
Stanford University
Stanford, United States
12 h-index
19 publications
2.1K citations
Brown University
Providence, United States
12 h-index
24 publications
5.5K citations
California University of Pennsylvania
California, United States
11 h-index
19 publications
2.6K citations

University of Amsterdam
Amsterdam, The Netherlands
11 h-index
15 publications
551 citations
John Brown University
Siloam Springs, United States
10 h-index
15 publications
1.3K citations
1–8 of 257
14 publications · 3.8K citations
14
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Repository · 13 publications · 606 citations
11
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Repository · 11 publications · 606 citations
10
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Repository · 8 publications · 332 citations
8
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Repository · 6 publications · 158 citations
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