Domain-specific Annotation

Domain-Specific Annotation is a corpus annotation methodology characterized by the adaptation of annotation schemes, labels, or guidelines to conform to the linguistic, conceptual, or functional conventions of a particular specialized field or subject area, thereby distinguishing it from general-purpose annotation approaches.

53

Publications

3.9K

Citations

202

Authors

84

Institutions

Publications per year

2017–2026

20

Authors

202

  1. SA
    Sophia Ananiadou

    University of Manchester, United Kingdom

    3 publications · 187 citations

    3

    h-index

  2. AD
    Alexiei Dingli

    University of Malta, Malta

    2 publications · 29 citations

    2

    h-index

  3. FC
    Fabio Ciravegna

    University of Sheffield, United Kingdom

    2 publications · 29 citations

    2

    h-index

  4. DG
    David Guthrie

    University of Sheffield, United Kingdom

    2 publications · 29 citations

    2

    h-index

  5. YW
    Yorick Wilks

    University of Sheffield, United Kingdom

    2 publications · 29 citations

    2

    h-index

1–5 of 202

Venues

  1. BMC Bioinformatics

    3 publications · 185 citations

    3

    h-index

  2. Computer Languages Systems & Structures

    2 publications · 47 citations

    2

    h-index

  3. Nucleic Acids Research

    2 publications · 1.2K citations

    2

    h-index

  4. Journal of Intelligent Information Systems

    1 publications · 33 citations

    1

    h-index

  5. RNA

    1 publications · 374 citations

    1

    h-index

1–5