zekun-li

A language model for detecting toponyms (i.e. place names) from sentences. We pretrain the GeoLM model on world-wide OpenStreetMap (OSM), WikiData and Wikipedia data, then fine-tune it for Toponym Recognition task on GeoWebNews dataset [UPDATE]: Demo can be found here: https://huggingface.co/spaces/zekun-li/geolm-base-toponym-recognition-demo Pretrain the GeoLM model on world-wide OpenStreetMap (OSM), WikiData and Wikipedia data, then fine-tune it for Toponym Recognition task on GeoWebNews dataset - Model type: Language model for geospatial understanding - Language(s) (NLP): en - License: cc-by-nc-2.0 - Parent Model: https://huggingface.co/zekun-li/geolm-base-cased This is a fine-tuned GeoLM model for toponym detection task. The inputs are sentences and outputs are detected toponyms. Option 1: Load weights to a BERT model (Same procedure as the demo on the right side panel) Download link: https://github.com/milangritta/Pragmatic-Guide-to-Geoparsing-Evaluation/blob/master/data/GWN.xml Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups.