Table 3 Comparison of F-score of our disease normalization models using four biomedical text groups
From: A method for named entity normalization in biomedical articles: application to diseases and plants
Models | Win | Dim | Method | Precision | Recall | F-score |
|---|---|---|---|---|---|---|
SSL-all abstracts | 8 | 200 | CBOW | 0.627 | 0.832 | 0.715 |
SSL-entity abstracts | 8 | 200 | CBOW | 0.633 | 0.838 | 0.721 |
SSL-evidences | 8 | 200 | CBOW | 0.633 | 0.840 | 0.722 |
SSL-modified evidences | 8 | 200 | CBOW | 0.706 | 0.891 | 0.788 |