| 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. | |