--- license: apache-2.0 --- This model is a BERT-based Location Mention Recognition model that is adopted from the [TLLMR4CM GitHub](https://github.com/rsuwaileh/TLLMR4CM/). The model identifies the toponyms' spans in the text without predicting their location types. The model is trained using the training splits of all events from [IDRISI-R dataset](https://github.com/rsuwaileh/IDRISI) under the `Type-less` LMR mode and using the `Time-based` version of the data. You can download this data in `BILOU` format from [here](https://github.com/rsuwaileh/IDRISI/tree/main/data/LMR/EN/gold-timebased-bilou/). All Location types in the data were normalized to the `LOC` tag. More details are available [here](https://github.com/rsuwaileh/IDRISI/tree/main/models). More details about the models are available [here](https://github.com/rsuwaileh/IDRISI/tree/main/models). * Different variants of the model are available through HuggingFace: - [rsuwaileh/IDRISI-LMR-AR-random-typeless](https://huggingface.co/rsuwaileh/IDRISI-LMR-AR-random-typeless/) - [rsuwaileh/IDRISI-LMR-AR-random-typebased](https://huggingface.co/rsuwaileh/IDRISI-LMR-AR-random-typebased/) - [rsuwaileh/IDRISI-LMR-AR-timebased-typebased](https://huggingface.co/rsuwaileh/IDRISI-LMR-AR-timebased-typebased/) * English models are also available: - [rsuwaileh/IDRISI-LMR-EN-random-typeless](https://huggingface.co/rsuwaileh/IDRISI-LMR-EN-random-typeless/) - [rsuwaileh/IDRISI-LMR-EN-random-typebased](https://huggingface.co/rsuwaileh/IDRISI-LMR-EN-random-typebased/) - [rsuwaileh/IDRISI-LMR-EN-timebased-typeless](https://huggingface.co/rsuwaileh/IDRISI-LMR-EN-timebased-typeless/) - [rsuwaileh/IDRISI-LMR-EN-timebased-typebased](https://huggingface.co/rsuwaileh/IDRISI-LMR-EN-timebased-typebased/) To cite the models: ``` @article{suwaileh2022tlLMR4disaster, title={When a Disaster Happens, We Are Ready: Location Mention Recognition from Crisis Tweets}, author={Suwaileh, Reem and Elsayed, Tamer and Imran, Muhammad and Sajjad, Hassan}, journal={International Journal of Disaster Risk Reduction}, year={2022} } @inproceedings{suwaileh2020tlLMR4disaster, title={Are We Ready for this Disaster? Towards Location Mention Recognition from Crisis Tweets}, author={Suwaileh, Reem and Imran, Muhammad and Elsayed, Tamer and Sajjad, Hassan}, booktitle={Proceedings of the 28th International Conference on Computational Linguistics}, pages={6252--6263}, year={2020} } ``` To cite the IDRISI-R dataset: ``` @article{rsuwaileh2022Idrisi-r, title={IDRISI-R: Large-scale English and Arabic Location Mention Recognition Datasets for Disaster Response over Twitter}, author={Suwaileh, Reem and Elsayed, Tamer and Imran, Muhammad}, journal={...}, volume={...}, pages={...}, year={2022}, publisher={...} } ``` * Different variants of the model are available through HuggingFace: - [rsuwaileh/IDRISI-LMR-AR-random-typeless](https://huggingface.co/rsuwaileh/IDRISI-LMR-AR-random-typeless/) - [rsuwaileh/IDRISI-LMR-AR-random-typebased](https://huggingface.co/rsuwaileh/IDRISI-LMR-AR-random-typebased/) - [rsuwaileh/IDRISI-LMR-AR-timebased-typebased](https://huggingface.co/rsuwaileh/IDRISI-LMR-AR-timebased-typebased/) * English models are also available: - [rsuwaileh/IDRISI-LMR-EN-random-typeless](https://huggingface.co/rsuwaileh/IDRISI-LMR-EN-random-typeless/) - [rsuwaileh/IDRISI-LMR-EN-random-typebased](https://huggingface.co/rsuwaileh/IDRISI-LMR-EN-random-typebased/) - [rsuwaileh/IDRISI-LMR-EN-timebased-typeless](https://huggingface.co/rsuwaileh/IDRISI-LMR-EN-timebased-typeless/) - [rsuwaileh/IDRISI-LMR-EN-timebased-typebased](https://huggingface.co/rsuwaileh/IDRISI-LMR-EN-timebased-typebased/) To cite the models: ``` @article{suwaileh2022tlLMR4disaster, title={When a Disaster Happens, We Are Ready: Location Mention Recognition from Crisis Tweets}, author={Suwaileh, Reem and Elsayed, Tamer and Imran, Muhammad and Sajjad, Hassan}, journal={International Journal of Disaster Risk Reduction}, year={2022} } @inproceedings{suwaileh2020tlLMR4disaster, title={Are We Ready for this Disaster? Towards Location Mention Recognition from Crisis Tweets}, author={Suwaileh, Reem and Imran, Muhammad and Elsayed, Tamer and Sajjad, Hassan}, booktitle={Proceedings of the 28th International Conference on Computational Linguistics}, pages={6252--6263}, year={2020} } ``` To cite the IDRISI-R dataset: ``` @article{rsuwaileh2022Idrisi-r, title={IDRISI-R: Large-scale English and Arabic Location Mention Recognition Datasets for Disaster Response over Twitter}, author={Suwaileh, Reem and Elsayed, Tamer and Imran, Muhammad}, journal={...}, volume={...}, pages={...}, year={2022}, publisher={...} } ```