Abstract
Table .6: Impact of increased training data, using EMM-clusters and propagated (prop.) CLINKs, on system performances (micro-averaged scores). TP: true positives, FP: false positives and FN: false negatives.
['[EMPTY]', '[BOLD] TP', '[BOLD] FP', '[BOLD] FN', '[BOLD] P', '[BOLD] R', '[BOLD] F1']
(Causal-TimeBank + EMM-clusters) improves micro-averaged F1-scores of the system by 5.57% significantly (p < 0.01). We evaluate the performance of the system trained with the enriched training data from CLINK propagation in the same five-fold cross-validation setting as the previous experiment. (Causal-TimeBank + EMM-clusters + prop. CLINKs). The improvement is statistically significant with p-value < 0.001. As expected, the overall improvement is caused by the increased recall, even though the system precision drops.