pytorch bert token-classification transformers autotrain_compatible
This model is a BERT-based Location Mention Recognition model that is adopted from the [TLLMR4CM GitHub](https://github.com/rsuwaileh/TLLMR4CM/).
The model is trained using Hurricane Dorian 2019 event (training, development, and test data are used for training) from [IDRISI-R dataset](https://github.com/rsuwaileh/IDRISI) under the Type-less 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/EN/gold-random-bilou/hurricane_dorian_2019).

* Different variants of the model are available through HuggingFace:
  - [rsuwaileh/IDRISI-LMR-HD-TB](https://huggingface.co/rsuwaileh/IDRISI-LMR-HD-TB)
  - [rsuwaileh/IDRISI-LMR-HD-TB-partition](https://huggingface.co/rsuwaileh/IDRISI-LMR-HD-TB-partition/)
  - [rsuwaileh/IDRISI-LMR-HD-TL-partition](https://huggingface.co/rsuwaileh/IDRISI-LMR-HD-TL-partition)

* Larger models are available at [TLLMR4CM GitHub](https://github.com/rsuwaileh/TLLMR4CM/).

* Models trained on the entire IDRISI-R dataset:
  - [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 this model:

```
@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={...}
  }
```
