Term Candidate Extraction

Term Candidate Extraction is a computational linguistic process within Corpus-Based Terminology that identifies lexically coherent sequences from textual corpora as potential terminology units based on statistical, morphosyntactic, and distributional criteria distinguishing them from general vocabulary.

184

Publications

8.8K

Citations

461

Authors

178

Institutions

Publications per year

2017–2026

22

Authors

461

  1. BD
    Béatrice Daille

    Nantes Université, France

    8 publications · 360 citations

    8

    h-index

  2. SA
    Sophia Ananiadou

    University of Manchester, United Kingdom

    6 publications · 1K citations

    6

    h-index

  3. PD
    Patrick Drouin

    Université de Montréal, Canada

    5 publications · 426 citations

    5

    h-index

  4. EL
    Els Lefever

    Ghent University, Belgium

    4 publications · 228 citations

    4

    h-index

  5. KT
    Koichi Takeuchi

    Okayama University, Japan

    4 publications · 111 citations

    4

    h-index

1–5 of 461

Venues

  1. 15

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

    Repository · 6 publications · 126 citations

    6

    h-index

  3. PubMed

    Repository · 3 publications · 99 citations

    3

    h-index

  4. Knowledge and Information Systems

    2 publications · 31 citations

    2

    h-index

  5. Journal of Biomedical Semantics

    JBMS · 2 publications · 89 citations

    2

    h-index

1–5