Geolm: Empowering language models for geospatially grounded language understanding

Z Li, W Zhou, YY Chiang, M Chen - ar** geoparsers with generic resources
T Leppämäki, T Toivonen, T Hiippala - International Journal of …, 2024 - Taylor & Francis
Geoparsers aim to find place names in unstructured texts and locate them geographically.
This process produces georeferenced data usable for spatial analyses or visualisations …

A deep neural network model for Chinese toponym matching with geographic pre-training model

Q Qiu, S Zheng, M Tian, J Li, K Ma… - International Journal of …, 2024 - Taylor & Francis
Multiple tasks within the field of geographical information retrieval and geographical
information sciences necessitate toponym matching, which involves the challenge of …

A survey on geocoding: algorithms and datasets for toponym resolution

Z Zhang, S Bethard - Language Resources and Evaluation, 2024 - Springer
Geocoding, the task of converting unstructured text to structured spatial data, has recently
seen progress thanks to a variety of new datasets, evaluation metrics, and machine-learning …