Table 5 Performance comparison of plant normalization models using various parameters
From: A method for named entity normalization in biomedical articles: application to diseases and plants
Development set | Test set | ||||||||
|---|---|---|---|---|---|---|---|---|---|
Parameters | Win | Dim | Method | Precision | Recall | F-score | Precision | Recall | F-score |
5_200_CBOW | 5 | 200 | CBOW | 0.7284 | 0.8939 | 0.8027 | 0.594 | 0.824 | 0.690 |
5_200_skip | 5 | 200 | Skip-gram | 0.6821 | 0.8812 | 0.7690 | 0.524 | 0.783 | 0.628 |
5_300_CBOW | 5 | 300 | CBOW | 0.7326 | 0.8934 | 0.8051 | 0.576 | 0.811 | 0.674 |
5_300_skip | 5 | 300 | Skip-gram | 0.6836 | 0.8813 | 0.7699 | 0.533 | 0.787 | 0.635 |
5_400_CBOW | 5 | 400 | CBOW | 0.7311 | 0.8940 | 0.8044 | 0.568 | 0.809 | 0.667 |
5_400_skip | 5 | 400 | Skip-gram | 0.7164 | 0.8878 | 0.7929 | 0.540 | 0.790 | 0.642 |
7_200_CBOW | 7 | 200 | CBOW | 0.7331 | 0.8934 | 0.8054 | 0.590 | 0.822 | 0.687 |
7_200_skip | 7 | 200 | Skip-gram | 0.7062 | 0.8840 | 0.7852 | 0.521 | 0.774 | 0.623 |
7_300_CBOW | 7 | 300 | CBOW | 0.7320 | 0.8933 | 0.8047 | 0.589 | 0.818 | 0.685 |
7_300_skip | 7 | 300 | Skip-gram | 0.7067 | 0.8833 | 0.7852 | 0.528 | 0.781 | 0.630 |
7_400_CBOW | 7 | 400 | CBOW | 0.7163 | 0.8862 | 0.7922 | 0.554 | 0.798 | 0.654 |
7_400_skip | 7 | 400 | Skip-gram | 0.6218 | 0.8859 | 0.7706 | 0.525 | 0.786 | 0.629 |