Pharmaceutical Entity Recognition

Pharmaceutical Entity Recognition is a natural language processing task that identifies and classifies mentions of pharmaceutical substances, such as drugs, medications, and chemical compounds, within unstructured text, distinguishing it from broader named entity recognition by its specific focus on pharmacologically relevant entities.

33

Publications

1.5K

Citations

140

Authors

68

Institutions

Publications per year

2017–2026

19

Authors

140

  1. QC
    Qingcai Chen

    Harbin Institute of Technology, China

    3 publications · 80 citations

    3

    h-index

  2. IS
    Isabel Segura-Bédmar

    Universidad Carlos III de Madrid, Spain

    3 publications · 391 citations

    3

    h-index

  3. XW
    Xiaolong Wang

    Harbin Institute of Technology, China

    3 publications · 80 citations

    3

    h-index

  4. PM
    Paloma Martı́nez

    Universidad Carlos III de Madrid, Spain

    3 publications · 391 citations

    3

    h-index

  5. BT
    Buzhou Tang

    Harbin Institute of Technology, China

    3 publications · 80 citations

    3

    h-index

1–5 of 140

Venues

  1. Journal of the American Medical Informatics Association

    JAMIA · 3 publications · 116 citations

    3

    h-index

  2. Journal of Biomedical Informatics

    2 publications · 82 citations

    2

    h-index

  3. Studies in health technology and informatics

    Book series · 2 publications · 99 citations

    2

    h-index

  4. 1

    h-index

  5. JMIR Medical Informatics

    JMI · 1 publications · 34 citations

    1

    h-index

1–5