Medical Concept Normalization On Bb Norm 2
评估指标
accuracy
wang
评测结果
各个模型在此基准测试上的表现结果
模型名称 | accuracy | wang | Paper Title | Repository |
|---|---|---|---|---|
| PADIA | 0.618 | 0.758 | An ensemble CNN method for biomedical entity normalization | |
| C-Norm | 0.700 | 0.881 | C-Norm: a neural approach to few-shot entity normalization | |
| BOUN-ISIK | 0.315 | 0.566 | BOUN-ISIK Participation: An Unsupervised Approach for the Named Entity Normalization and Relation Extraction of Bacteria Biotopes | - |
| BLAIR GMU | 0.313 | 0.646 | Integration of Deep Learning and Traditional Machine Learning for Knowledge Extraction from Biomedical Literature | - |
0 of 4 row(s) selected.