Location reference recognition from texts: A survey and comparison
A vast amount of location information exists in unstructured texts, such as social media
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …
[PDF][PDF] Symbolic and subsymbolic GeoAI: Geospatial knowledge graphs and spatially explicit machine learning.
The field of Artificial Intelligence (AI) can be roughly divided into two branches: Symbolic
Artificial Intelligence and Connectionist Artificial Intelligence (or so-called Subsymbolic AI) …
Artificial Intelligence and Connectionist Artificial Intelligence (or so-called Subsymbolic AI) …
On the opportunities and challenges of foundation models for geoai (vision paper)
Large pre-trained models, also known as foundation models (FMs), are trained in a task-
agnostic manner on large-scale data and can be adapted to a wide range of downstream …
agnostic manner on large-scale data and can be adapted to a wide range of downstream …
Improving toponym resolution with better candidate generation, transformer-based reranking, and two-stage resolution
A Hierarchy-Aware Geocoding Model Based on Cross-Attention within the Seq2Seq Framework
L Liang, Y Chang, Y Quan, C Wang - ISPRS International Journal of Geo …, 2024 - mdpi.com
Geocoding converts unstructured geographic text into structured spatial data, which is
crucial in fields such as urban planning, social media spatial analysis, and emergency …
crucial in fields such as urban planning, social media spatial analysis, and emergency …