Negation Scope Detection

Negation Scope Detection is a natural language processing task that identifies the span of text influenced by a negation cue, distinguishing it from other discourse or syntactic boundary detection tasks by specifically delineating the extent of negated propositions within a sentence or clause.

71

Publications

3.3K

Citations

163

Authors

76

Institutions

Publications per year

2017–2026

24

Variants

Negation Scope Resolution

Authors

163

  1. RM
    Roser Morante

    University of Antwerp, Belgium

    7 publications · 499 citations

    7

    h-index

  2. FF
    Federico Fancellu

    University of Edinburgh, United Kingdom

    5 publications · 176 citations

    5

    h-index

  3. BW
    Bonnie Webber

    University of Edinburgh, United Kingdom

    5 publications · 176 citations

    5

    h-index

  4. AL
    Adam Lopez

    University of Edinburgh, United Kingdom

    4 publications · 164 citations

    4

    h-index

  5. GZ
    Guodong Zhou

    Soochow University, China

    4 publications · 216 citations

    4

    h-index

1–5 of 163

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 78 citations

    3

    h-index

  2. Joint Conference on Lexical and Computational Semantics

    Conference · 3 publications · 84 citations

    3

    h-index

  3. Journal of the American Medical Informatics Association

    JAMIA · 2 publications · 125 citations

    2

    h-index

  4. PubMed

    Repository · 2 publications · 67 citations

    2

    h-index

  5. Natural Language Engineering

    2 publications · 48 citations

    2

    h-index

1–5