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

Authors

780

  1. MJ
    Mark Johnson

    Brown University, United States

    18 publications · 2.2K citations

    14

    h-index

  2. EC
    Eugene Charniak

    Brown University, United States

    14 publications · 4.2K citations

    12

    h-index

  3. DS
    Djamé Seddah

    Institut national de recherche en sciences et technologies du numérique, France

    11 publications · 395 citations

    11

    h-index

  4. MC
    Marie Candito

    Université Paris Cité, France

    11 publications · 605 citations

    11

    h-index

  5. JE
    Jason Eisner

    Johns Hopkins University, United States

    10 publications · 994 citations

    10

    h-index

1–5 of 780

Venues

  1. Computational Linguistics

    14 publications · 3.8K citations

    14

    h-index

  2. ArXiv.org

    Repository · 13 publications · 606 citations

    11

    h-index

  3. arXiv (Cornell University)

    Repository · 11 publications · 606 citations

    10

    h-index

  4. Arrow@dit (Dublin Institute of Technology)

    Repository · 8 publications · 332 citations

    8

    h-index

  5. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 6 publications · 158 citations

    6

    h-index

1–5