Annotation Extraction

Annotation Extraction is the scholarly process of systematically identifying and retrieving explicit or implicit annotations—such as labels, comments, metadata, or metadata indicators—embedded within or associated with a document, distinguished from general document analysis by its focused intent on capturing supplementary interpretive or structural information added by human or automated annotators.

55

Publications

2.3K

Citations

206

Authors

79

Institutions

Publications per year

2017–2026

16

Authors

206

  1. AV
    Aravind Venkatesan

    European Bioinformatics Institute, United Kingdom

    3 publications · 78 citations

    3

    h-index

  2. SA
    Sophia Ananiadou

    University of Manchester, United Kingdom

    3 publications · 70 citations

    3

    h-index

  3. MI
    Michele Ide‐Smith

    European Bioinformatics Institute, United Kingdom

    3 publications · 78 citations

    3

    h-index

  4. RN
    Raheel Nawaz

    Manchester Metropolitan University, United Kingdom

    2 publications · 86 citations

    2

    h-index

  5. RB
    Riza Batista-Navarro

    University of Manchester, United Kingdom

    2 publications · 51 citations

    2

    h-index

1–5 of 206

Venues

  1. Information Processing & Management

    3 publications · 104 citations

    3

    h-index

  2. Knowledge and Information Systems

    2 publications · 37 citations

    2

    h-index

  3. PubMed

    Repository · 2 publications · 66 citations

    2

    h-index

  4. Wellcome Open Research

    2 publications · 51 citations

    2

    h-index

  5. D-Lib Magazine

    2 publications · 65 citations

    2

    h-index

1–5