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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**.
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## Model Details
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### Model Description
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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**.
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* Model fine-tuned for toponym recognition: https://huggingface.co/zekun-li/geolm-base-toponym-recognition
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## Model Details
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### Model Description
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