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license: apache-2.0 |
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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 and predicts their location types. The location type can be coarse-grained (e.g., country, city, etc.) and fine-grained (e.g., street, POI, etc.) |
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The model is trained using the training splits of all events from [IDRISI-R dataset](https://github.com/rsuwaileh/IDRISI) under the `Type-based` LMR mode and using the `Random` version of the data. You can download this data in `BILOU` format from [here](https://github.com/rsuwaileh/IDRISI/tree/main/data/LMR/AR/gold-random-bilou/). More details about the models are available [here](https://github.com/rsuwaileh/IDRISI/tree/main/models). |
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* Different variants of the model are available through HuggingFace: |
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- [rsuwaileh/IDRISI-LMR-AR-random-typeless](https://huggingface.co/rsuwaileh/IDRISI-LMR-AR-random-typeless/) |
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- [rsuwaileh/IDRISI-LMR-AR-timebased-typeless](https://huggingface.co/rsuwaileh/IDRISI-LMR-AR-timebased-typeless/) |
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- [rsuwaileh/IDRISI-LMR-AR-timebased-typebased](https://huggingface.co/rsuwaileh/IDRISI-LMR-AR-timebased-typebased/) |
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* English models are also available: |
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- [rsuwaileh/IDRISI-LMR-EN-random-typeless](https://huggingface.co/rsuwaileh/IDRISI-LMR-EN-random-typeless/) |
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- [rsuwaileh/IDRISI-LMR-EN-random-typebased](https://huggingface.co/rsuwaileh/IDRISI-LMR-EN-random-typebased/) |
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- [rsuwaileh/IDRISI-LMR-EN-timebased-typeless](https://huggingface.co/rsuwaileh/IDRISI-LMR-EN-timebased-typeless/) |
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- [rsuwaileh/IDRISI-LMR-EN-timebased-typebased](https://huggingface.co/rsuwaileh/IDRISI-LMR-EN-timebased-typebased/) |
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To cite the models: |
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``` |
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@article{suwaileh2022tlLMR4disaster, |
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title={When a Disaster Happens, We Are Ready: Location Mention Recognition from Crisis Tweets}, |
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author={Suwaileh, Reem and Elsayed, Tamer and Imran, Muhammad and Sajjad, Hassan}, |
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journal={International Journal of Disaster Risk Reduction}, |
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year={2022} |
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} |
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@inproceedings{suwaileh2020tlLMR4disaster, |
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title={Are We Ready for this Disaster? Towards Location Mention Recognition from Crisis Tweets}, |
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author={Suwaileh, Reem and Imran, Muhammad and Elsayed, Tamer and Sajjad, Hassan}, |
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booktitle={Proceedings of the 28th International Conference on Computational Linguistics}, |
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pages={6252--6263}, |
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year={2020} |
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} |
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``` |
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To cite the IDRISI-R dataset: |
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``` |
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@article{rsuwaileh2022Idrisi-r, |
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title={IDRISI-R: Large-scale English and Arabic Location Mention Recognition Datasets for Disaster Response over Twitter}, |
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author={Suwaileh, Reem and Elsayed, Tamer and Imran, Muhammad}, |
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journal={...}, |
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volume={...}, |
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pages={...}, |
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year={2022}, |
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publisher={...} |
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} |
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``` |
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