Geospatial Named Entity Recognition

Geospatial Named Entity Recognition is a computational task within natural language processing that identifies and classifies geographic entities in unstructured text into predefined categories such as locations, landmarks, or administrative regions.

41

Publications

2K

Citations

156

Authors

72

Institutions

Publications per year

2017–2026

24

Variants

Geo-nerGeoner

Authors

156

  1. GM
    Gengchen Mai

    University of California, Santa Barbara, United States

    3 publications · 330 citations

    3

    h-index

  2. NL
    Ni Lao

    Google (United States), United States

    3 publications · 330 citations

    3

    h-index

  3. YH
    Yingjie Hu

    University at Buffalo, State University of New York, United States

    3 publications · 330 citations

    3

    h-index

  4. CC
    Chris Cundy

    Stanford University, United States

    3 publications · 330 citations

    3

    h-index

  5. WL
    Wenjia Li

    New York Institute of Technology, United States

    2 publications · 136 citations

    2

    h-index

1–5 of 156

Venues

  1. 3

    h-index

  2. Earth Science Informatics

    2 publications · 136 citations

    2

    h-index

  3. Preprints.org

    Repository · 1 publications · 11 citations

    1

    h-index

  4. Knowledge-Based Systems

    1 publications · 17 citations

    1

    h-index

  5. The Computer Journal

    1 publications · 18 citations

    1

    h-index

1–5