Medical Concept Normalization On Bb Norm 1
Metrics
accuracy
wang
Results
Performance results of various models on this benchmark
Model Name | accuracy | wang | Paper Title | Repository |
|---|---|---|---|---|
| BLAIR GMU | 0.211 | 0.615 | Integration of Deep Learning and Traditional Machine Learning for Knowledge Extraction from Biomedical Literature | - |
| C-Norm | 0.604 | 0.777 | C-Norm: a neural approach to few-shot entity normalization | |
| PADIA | 0.488 | 0.684 | An ensemble CNN method for biomedical entity normalization | |
| BOUN-ISIK | 0.428 | 0.687 | BOUN-ISIK Participation: An Unsupervised Approach for the Named Entity Normalization and Relation Extraction of Bacteria Biotopes | - |
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