readme: 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 demo, please visit http://kazu.korea.ac.kr
  * 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.
  
  