Spatial Event Extraction

Spatial Event Extraction is a geospatial natural language processing task that identifies and classifies event occurrences from unstructured text by explicitly recognizing their spatial and temporal attributes, distinguishing it from general event extraction through its focus on geographically grounded events.

82

Publications

4.5K

Citations

256

Authors

123

Institutions

Publications per year

2017–2026

31

Authors

256

  1. MG
    Michael Gertz

    Heidelberg University, Germany

    4 publications · 342 citations

    4

    h-index

  2. FC
    Fredric C. Gey

    University of California, Berkeley, United States

    2 publications · 59 citations

    2

    h-index

  3. JS
    Jagan Sankaranarayanan

    University of Maryland, College Park, United States

    2 publications · 26 citations

    2

    h-index

  4. DV
    Dmitri V. Kalashnikov

    University of California, Irvine, United States

    2 publications · 40 citations

    2

    h-index

  5. JM
    Jorge Machado

    Polytechnic Institute of Portalegre, Portugal

    2 publications · 59 citations

    2

    h-index

1–5 of 256

Venues

  1. ISPRS International Journal of Geo-Information

    IJGI · 3 publications · 96 citations

    3

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 37 citations

    2

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 299 citations

    2

    h-index

  4. International Journal of Ad Hoc and Ubiquitous Computing

    IJAHUC · 2 publications · 25 citations

    2

    h-index

  5. ACM Transactions on Intelligent Systems and Technology

    TIST · 2 publications · 107 citations

    2

    h-index

1–5