Abstract
Table .1: Classifier performances (F1-scores) in different experimental settings S1 and S2, compared with using only traditional features. TP: true positives and FP: false positives.
['[EMPTY]', '[BOLD] Feature vector Traditional features', '[BOLD] Feature vector → [ITALIC] f', '[BOLD] Total 5271', '[BOLD] TP 2717', '[BOLD] FP 2554', '[BOLD] F1  [BOLD] 0.5155']
we report the performances of the classifier in different experimental settings S1 and S2, compared with the classifier performance using only traditional features. Since we classify all possible event pairs in the dataset, precision and recall are the same.