Geographic Relation Extraction is a computational task in geospatial natural language processing that identifies and classifies semantic relationships involving geographic entities from unstructured text, distinguished by its focus on spatially grounded interactions such as proximity, containment, or directional relations.
12
Publications
314
Citations
50
Authors
33
Institutions
Publications per year
2017–2026
4
Publications
12
1–5 of 12
Authors
50
- XZ
1
h-index
- NH
1
h-index
- XP
1
h-index
- MR
1
h-index
- ER
1
h-index
1–5 of 50
Institutions
33
The University of Melbourne
Melbourne, Australia
2 h-index
5 publications
111 citations
The University of Texas at Austin
Austin, United States
1 h-index
1 publications
21 citations
Yangzhou University
Yangzhou, China
1 h-index
1 publications
20 citations
China Academy of Chinese Medical Sciences
Beijing, China
1 h-index
1 publications
38 citations
University College Dublin
Dublin, Ireland
1 h-index
2 publications
90 citations
University of North Carolina at Charlotte
Charlotte, United States
1 h-index
1 publications
45 citations
Université de Montpellier
Montpellier, France
1 h-index
1 publications
14 citations
Swinburne University of Technology
Melbourne, Australia
1 h-index
1 publications
21 citations
1–8 of 33
Venues
- Pattern Recognition
1 publications · 15 citations
1
h-index
- Historical Methods A Journal of Quantitative and Interdisciplinary History
1 publications · 25 citations
1
h-index
- Journal of the American Medical Informatics Association
JAMIA · 1 publications · 38 citations
1
h-index
- ACM Transactions on Spatial Algorithms and Systems
1 publications · 21 citations
1
h-index
- Geo-spatial Information Science
1 publications · 20 citations
1
h-index
1–5