Co-occurrence Modeling

Co-Occurrence Modeling is a text representation method that captures the statistical relationships between linguistic units within a defined context window by quantifying their joint appearances in order to infer semantic or syntactic structure.

802

Publications

91.8K

Citations

2.4K

Authors

824

Institutions

Publications per year

2017–2026

282

Authors

2.4K

  1. MB
    Marco Baroni

    University of Trento, Italy

    5 publications · 706 citations

    5

    h-index

  2. CB
    Chris Biemann

    Technische Universität Darmstadt, Germany

    5 publications · 137 citations

    5

    h-index

  3. CW
    Chris Westbury

    University of Alberta, Canada

    5 publications · 355 citations

    5

    h-index

  4. BC
    Berlin Chen

    National Taiwan Normal University, Taiwan

    5 publications · 174 citations

    5

    h-index

  5. TC
    Tianshui Chen

    Sun Yat-sen University, China

    5 publications · 574 citations

    5

    h-index

1–5 of 2.4K

Venues

  1. arXiv (Cornell University)

    Repository · 33 publications · 2.9K citations

    16

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 13 publications · 2.8K citations

    12

    h-index

  3. PLoS ONE

    10 publications · 784 citations

    10

    h-index

  4. BMC Bioinformatics

    8 publications · 285 citations

    8

    h-index

  5. IEEE Access

    7 publications · 320 citations

    7

    h-index

1–5