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. 2015 Jan 19;7(Suppl 1):S9. doi: 10.1186/1758-2946-7-S1-S9

Table 2.

CDI subtask evaluation results of different runs with varied features.

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.