Table 2.
Model | Performance (lenient/relaxed)a |
||
---|---|---|---|
precision | recall | F1 score | |
SVMs-1b | 0.9623 | 0.9300 | 0.9459 |
SVMs-4 | 0.9605 | 0.9422 | 0.9512 |
RFs-4 | 0.9612 | 0.9350 | 0.9479 |
GB-4 | 0.9730 | 0.9541 | 0.9635 |
Abbreviations: GB, gradient boosting; RFs: random forests; SVMs, support vector machines; .
aThe lenient score and relaxed score are the same for subtask 2.
bSVMs-1 is the final relation extraction system submitted during this challenge (ranked fourth).