Class	Precision	Recall	F1-Score	Support
AFW	0.6676	0.6326	0.6496	362
ANM	0.7476	0.7800	0.7635	600
Body	0.9731	0.9813	0.9772	1068
CVL	0.8492	0.8579	0.8536	4977
DAT	0.9078	0.9286	0.9181	2130
Disease	0.9738	0.9872	0.9805	2109
EVT	0.7332	0.7446	0.7389	1026
FLD	0.6138	0.6170	0.6154	188
LOC	0.8721	0.8691	0.8706	1734
MAT	0.5385	0.5000	0.5185	14
NUM	0.9227	0.9305	0.9266	4660
ORG	0.8917	0.8866	0.8892	3307
PER	0.8918	0.9049	0.8983	3626
PLT	0.2941	0.2174	0.2500	23
TIM	0.8644	0.9173	0.8901	278
Treatment	0.9468	0.9852	0.9656	271

Averages

Metric	Micro Avg	Macro Avg	Weighted Avg
Precision	0.8844	0.7930	0.8841
Recall	0.8928	0.7963	0.8928
F1-Score	0.8886	0.7941	0.8884

Citations

Please cite our KBMC paper:

bibtex

@misc{byun2024korean,
      title={Korean Bio-Medical Corpus (KBMC) for Medical Named Entity Recognition}, 
      author={Sungjoo Byun and Jiseung Hong and Sumin Park and Dongjun Jang and Jean Seo and Minseok Kim and Chaeyoung Oh and Hyopil Shin},
      year={2024},
      eprint={2403.16158},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

Model Card Contact

For any questions or issues, please contact byunsj@snu.ac.kr.

SungJoo/medical-ner-koelectra

Model Card for medical-ner-koelectra

Model Summary

Model Details

Model Description

Training Data

Model Performance

Overall Metrics

Class-wise Performance

Averages

Citations

Model Card Contact

SungJoo/
medical-ner-koelectra