Spatial Semantic Parsing

Spatial Semantic Parsing is a natural language processing task that identifies and interprets spatial references and relationships in textual data by mapping linguistic expressions to formal spatial representations grounded in geometric or topological models.

21

Publications

929

Citations

61

Authors

27

Institutions

Publications per year

2017–2026

7

Authors

61

  1. YC
    Yejin Choi

    University of Washington, United States

    2 publications · 67 citations

    2

    h-index

  2. DM
    Daniel Marcu

    University of Southern California, United States

    2 publications · 67 citations

    2

    h-index

  3. DR
    Deb Roy

    Massachusetts Institute of Technology, United States

    2 publications · 73 citations

    2

    h-index

  4. KJ
    Kevin J. Shih

    University of Illinois Urbana-Champaign, United States

    2 publications · 67 citations

    2

    h-index

  5. YB
    Yonatan Bisk

    University of Washington, United States

    2 publications · 67 citations

    2

    h-index

1–5 of 61

Venues

  1. Decision Support Systems

    1 publications · 37 citations

    1

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 10 citations

    1

    h-index

  5. Journal of Memory and Language

    1 publications · 177 citations

    1

    h-index

1–5