Corpus-based Term Extraction

Corpus-Based Term Extraction is a term extraction method that identifies domain-specific terms from a specialized corpus by analyzing statistical or linguistic patterns inherent in naturally occurring text, distinguishing it from knowledge-based or rule-driven approaches through its reliance on empirical data.

283

Publications

12K

Citations

663

Authors

285

Institutions

Publications per year

2017–2026

52

Authors

663

  1. EL
    Els Lefever

    Ghent University, Belgium

    8 publications · 327 citations

    8

    h-index

  2. BD
    Béatrice Daille

    Nantes Université, France

    6 publications · 381 citations

    6

    h-index

  3. SA
    Sophia Ananiadou

    University of Manchester, United Kingdom

    6 publications · 433 citations

    6

    h-index

  4. VH
    Véronique Hoste

    Ghent University, Belgium

    6 publications · 170 citations

    6

    h-index

  5. PD
    Patrick Drouin

    Université de Montréal, Canada

    5 publications · 405 citations

    5

    h-index

1–5 of 663

Venues

  1. 14

    h-index

  2. arXiv (Cornell University)

    Repository · 8 publications · 243 citations

    8

    h-index

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

    Repository · 4 publications · 107 citations

    4

    h-index

  4. BMC Bioinformatics

    3 publications · 71 citations

    3

    h-index

  5. Journal of Biomedical Semantics

    JBMS · 3 publications · 109 citations

    3

    h-index

1–5