Table 6 |
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|
Performance changes on the ACT development set by varying feature types. |
||||
|
Used Features |
Avg Prec |
Precision |
Recall |
F1 score |
|
|
||||
|
Baseline |
0.7073 |
0.6403 |
0.6290 |
0.6346 |
|
–Gene Anonymization |
0.7017 |
0.6166 |
0.6320 |
0.6242 |
|
–Multi-words |
0.7035 |
0.6358 |
0.6349 |
0.6354 |
|
–Sub-strings |
0.7019 |
0.6329 |
0.6320 |
0.6324 |
|
–MeSH Terms |
0.7009 |
0.6410 |
0.6334 |
0.6372 |
|
|
||||
|
Baseline+Higher Order |
0.7077 |
0.6311 |
0.6496 |
0.6402 |
|
|
||||
|
The baseline performance is the result obtained from our system pipeline with the same setting used for Run 4. A row shows the evaluation results when a specific feature type is not used for the experiment. However, the last row is the performance results when higher-order features are applied. |
||||
|
Kim and Wilbur BMC Bioinformatics 2011 12(Suppl 8):S9 doi:10.1186/1471-2105-12-S8-S9 |
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