Table 2.
Development set | Testing set | |||||
---|---|---|---|---|---|---|
Features | Pre | Rec | F-scr | Pre | Rec | F-scr |
BANNER setup | 82.83 | 78.71 | 80.72 | 85.36 | 85.29 | 85.32 |
Baseline | 81.71 | 82.3 | 82 | 75.87 | 70.55 | 73.11 |
Baseline + Brown 300 | 82.2 | 82.96 | 82.58 | 86.03 | 85.45 | 85.74 |
Baseline + Brown 1000 | 81.96 | 83.24 | 82.59 | 86.04 | 85.60 | 85.82 |
Baseline + Brown 1000 + WVC 1000 | 82.73 | 83.89 | 83.31 | 86.23 | 85.37 | 85.8 |
Baseline + Brown 1000 + Brown 300 | 82.1 | 83.42 | 82.76 | 86.46 | 85.63 | 86.04 |
Baseline + Brown 1000 + WVC 300 | 82.43 | 83.82 | 83.12 | 86.06 | 86.06 | 86.06 |
Baseline + Brown 1000 + WVC 500 | 82.78 | 83.56 | 83.17 | 86.12 | 86.2 | 86.16 |
Baseline + Brown 1000 + WVC 500 + WVC 300 | 83.1 | 83.78 | 83.44 | 86.10 | 86.31 | 86.2 |
Baseline + Brown 1000 + WVC 500 + WVC 1000 | 82.78 | 83.76 | 83.27 | 86.19 | 86.4 | 86.28 |
Baseline + Brown 1000 + WVC 500 + WVC 300 + WVC 1000 | 82.3 | 84.05 | 83.16 | 86.47 | 86.47 | 86.47 |
Feature groups are separated by (+). The parameters followed Brown and WVC are the number of classes induced in each model. Pre: Precision, Rec: Recall, F-scr: F-score.