readme: This model repository presents "TinySapBERT", tiny-sized biomedical entity representations (language model) trained using [official SapBERT code and instructions (Liu et al., NAACL 2021)](https://github.com/cambridgeltl/sapbert). 
  We used our [TinyPubMedBERT](https://huggingface.co/dmis-lab/TinyPubMedBERT-v1.0), a tiny-sized LM, as an initial starting point to train using the SapBERT scheme.
  <br>
  cf) TinyPubMedBERT is a distillated [PubMedBERT (Gu et al., 2021)](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract), open-sourced along with the release of the KAZU (Korea University and AstraZeneca) framework.
  
  * For details, please visit [KAZU framework](https://github.com/AstraZeneca/KAZU) or see our paper entitled **Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework**, (EMNLP 2022 industry track).
  * For the demo of KAZU framework, please visit http://kazu.korea.ac.kr
  
  ### 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}
  }
  ```
  
  The model used resources of [SapBERT paper](https://aclanthology.org/2021.naacl-main.334.pdf). We appreciate the authors for making the resources publicly available!
  ```
  Liu, Fangyu, et al. "Self-Alignment Pretraining for Biomedical Entity Representations." 
  Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2021.
  ```
  
  ### 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.
  