zekun-li/geolm-base-cased

Model Card for GeoLM

GeoLM is a language model based on BERT that facilitates geospatial understanding in NL documents. It can take either NL sentences or linearized geographical region as input. The customized geocoordinate embedding module enables it to encode geographic coordinates efficiently. It is pretrained on world-wide OpenStreetMap (OSM), WikiData and Wikipedia data, and can be adapted to various geospatial related downstream tasks such as toponym recognition and toponym linking.

• Model fine-tuned for toponym recognition: https://huggingface.co/zekun-li/geolm-base-toponym-recognition

Model Details

Model Description

• Developed by: Knowledge Computing Lab, UMN
• Shared by: Zekun Li
• License: CC-by-NC 2.0
• Finetuned from model: https://huggingface.co/bert-base-cased

Model Sources [optional]

• Repository: https://github.com/knowledge-computing/geolm
• Paper: http://arxiv.org/abs/2310.14478

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Training Details

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