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license: cc-by-nc-2.0
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# Model Card for GeoLM

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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**.

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

## Model Details

### Model Description

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- **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]

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


## Uses

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### Direct Use

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### Downstream Use [optional]

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### Out-of-Scope Use

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## Bias, Risks, and Limitations

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### Recommendations

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## How to Get Started with the Model

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## Training Details

### Training Data

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### Training Procedure 

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#### Training Hyperparameters

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## Evaluation

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### Testing Data, Factors & Metrics

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#### Factors

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#### Metrics

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### Results

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#### Summary



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## Technical Specifications [optional]

### Model Architecture and Objective

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## Citation [optional]

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## Glossary [optional]

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## Model Card Authors [optional]

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## Model Card Contact

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