Context-aware Normalization

Context-Aware Normalization is a biomedical concept normalization method that incorporates document-level or cross-sentence contextual information to disambiguate and map ambiguous biomedical entities to standardized ontology entries, distinguishing it from local or token-level normalization approaches by leveraging broader textual context for improved semantic accuracy.

12

Publications

602

Citations

64

Authors

24

Institutions

Publications per year

2017–2026

8

Authors

64

  1. SR
    Saravanan Ramakrishnan

    Indian Veterinary Research Institute, India

    1 publications · 18 citations

    1

    h-index

  2. SL
    Sungchang Lee

    Korea Aerospace University, South Korea

    1 publications · 17 citations

    1

    h-index

  3. JH
    Jing He

    Regeneron (United States), United States

    1 publications · 115 citations

    1

    h-index

  4. RW
    Rebecca W.Y. Chan

    Chinese University of Hong Kong, Hong Kong SAR China

    1 publications · 18 citations

    1

    h-index

  5. WZ
    Wen Zhang

    Regeneron (United States), United States

    1 publications · 115 citations

    1

    h-index

1–5 of 64

Venues

  1. Applied Intelligence

    1 publications · 31 citations

    1

    h-index

  2. International Conference on Machine Learning

    Conference · 1 publications · 15 citations

    1

    h-index

  3. BMC Bioinformatics

    1 publications · 26 citations

    1

    h-index

  4. Journal of Biomedical Informatics

    1 publications · 31 citations

    1

    h-index

  5. Science Advances

    1 publications · 115 citations

    1

    h-index

1–5