Negation Detection

Negation Detection is a natural language processing task in biomedical text mining that automatically determines, within clinical or biomedical narratives, which mentioned concepts or findings are negated rather than affirmed by identifying negation cues and their scope.

412

Publications

31.9K

Citations

1.1K

Authors

442

Institutions

Publications per year

2017–2026

155

Authors

1.1K

  1. RM
    Roser Morante

    University of Antwerp, Belgium

    11 publications · 796 citations

    11

    h-index

  2. SV
    Sumithra Velupillai

    King's College London, United Kingdom

    7 publications · 460 citations

    7

    h-index

  3. FF
    Federico Fancellu

    University of Edinburgh, United Kingdom

    6 publications · 191 citations

    6

    h-index

  4. GZ
    Guodong Zhou

    Soochow University, China

    5 publications · 218 citations

    6

    h-index

  5. SF
    Stefan Feuerriegel

    ETH Zurich, Switzerland

    6 publications · 190 citations

    6

    h-index

1–5 of 1.1K

Venues

  1. PubMed

    Repository · 20 publications · 976 citations

    16

    h-index

  2. Journal of the American Medical Informatics Association

    JAMIA · 17 publications · 4.8K citations

    16

    h-index

  3. arXiv (Cornell University)

    Repository · 13 publications · 622 citations

    12

    h-index

  4. Journal of Biomedical Informatics

    9 publications · 2.2K citations

    9

    h-index

  5. BMC Bioinformatics

    7 publications · 660 citations

    7

    h-index

1–5