Location-aware Information Extraction

Location-Aware Information Extraction is an information extraction framework that specifically integrates geographic context to identify, disambiguate, and link location references within natural language text, distinguishing it from general extraction methods by its explicit spatial awareness and grounding capabilities.

134

Publications

7.8K

Citations

433

Authors

168

Institutions

Publications per year

2017–2026

48

Authors

433

  1. MN
    Mor Naaman

    Cornell University, United States

    4 publications · 939 citations

    4

    h-index

  2. QH
    Qiang Hao

    Microsoft Research Asia (China), China

    3 publications · 234 citations

    3

    h-index

  3. YP
    Yanwei Pang

    Tianjin University, China

    3 publications · 234 citations

    3

    h-index

  4. JC
    James Caverlee

    Texas A&M University, United States

    3 publications · 87 citations

    3

    h-index

  5. JL
    John Lingad

    Commonwealth Scientific and Industrial Research Organisation, Australia

    2 publications · 155 citations

    2

    h-index

1–5 of 433

Venues

  1. Neurocomputing

    3 publications · 96 citations

    3

    h-index

  2. 3

    h-index

  3. PLoS ONE

    3 publications · 66 citations

    3

    h-index

  4. 2

    h-index

  5. IEEE Transactions on Industrial Electronics

    2 publications · 24 citations

    2

    h-index

1–5