README.md

This model repository presents the NER module used in the initial release of the KAZU (Korea University and AstraZeneca) framework.
* For the framework, please visit https://github.com/AstraZeneca/KAZU
* For details about the model, please see our paper entitled **Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework**, (EMNLP 2022 industry track).
* (For research purposes:) The training and evaluation code for multi-label token classification, which we used when training this model, is available at https://github.com/dmis-lab/KAZU-NER-module


More details to be announced soon.


### Citation info
Joint-first authorship of **Richard Jackson** (AstraZeneca) and **WonJin Yoon** (Korea University).
<br>Please cite: (Full citation info will be announced soon)
```
@inproceedings{YoonAndJackson2022BiomedicalNER,
  title={Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework},
  author={Yoon, Wonjin and Jackson, Richard and Ford, Elliot and Poroshin, Vladimir and Kang, Jaewoo},
  booktitle={Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  year={2022}
}
```


### Contact Information
For help or issues using the codes or model (NER module of KAZU) in this repository, please contact WonJin Yoon (wonjin.info (at) gmail.com) or submit a GitHub issue.