Large pre-trained models, also known as foundation models (FMs), are tra...
Extracting precise geographical information from textual contents is cru...
Geospatial Artificial Intelligence (GeoAI) is an interdisciplinary field...
A vast amount of location information exists in unstructured texts, such...
Domestic violence (DV) is a serious public health issue, with 1 in 3 wom...
A common need for artificial intelligence models in the broader geoscien...
Historical maps contain rich geographic information about the past of a
...
Social media platforms, such as Twitter, have been increasingly used by
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Spatial data science has emerged in recent years as an interdisciplinary...
Geoparsing is an important task in geographic information retrieval. A
g...
A rich amount of geographic information exists in unstructured texts, su...
Replicability and reproducibility (R R) are critical for the long-term...
Artificial Intelligence (AI) has received tremendous attention from acad...
Many datasets nowadays contain links between geographic locations and na...
Local place names are frequently used by residents living in a geographi...
News articles capture a variety of topics about our society. They reflec...
While Points Of Interest (POIs), such as restaurants, hotels, and barber...
Geospatial semantics is a broad field that involves a variety of researc...