Table 4 Performance of models with FCD features on named entity classification and recognition
From: Incorporating rich background knowledge for gene named entity classification and recognition
ID | Feature(model) | Classification (all terms) | Classification (OOV terms) | Named entity recognition | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Â | Â | Precision | Recall | F-score | Precision | Recall | F-score | Precision | Recall | F-score |
Run 1 | Lexical (linear) | 75.52 | 85.63 | 80.26 | 74.03 | 75.68 | 74.85 | 85.70 | 78.36 | 81.86 |
Run 2 | FCD (linear) | 81.59 | 87.77 | 84.57 (+4.31) | 83.74 | 87.64 | 85.64 (+10.79) | 87.98 | 80.70 | 84.18 (+2.32) |
Run 3 | FCD (SVD + RBF) | 83.02 | 88.24 | 85.55 (+5.29) | 83.12 | 85.31 | 84.2 (+9.35) | 89.80 | 81.76 | 85.59 (+3.73) |
Run 4 | FCD (Combine (2, 3)) | 82.46 | 90.35 | 86.23 (+5.97) | 83.21 | 88.35 | 85.7 (+10.85) | 89.29 | 82.45 | 85.74 (+3.88) |
Run 5 | All (linear) | 82.96 | 89.31 | 86.02 (+5.76) | 83.65 | 89.16 | 86.32 (+11.47) | 89.93 | 81.71 | 85.62 (+3.76) |
Run 6 | All (Combine (3, 5)) | 83.94 | 89.99 | 86.86 (+6.6) | 83.92 | 88.86 | 86.32 (+11.47) | 90.37 | 82.40 | 86.20 (+4.34) |