A Weakly Supervised Approach to Train Temporal Relation Classifiers and Acquire Regular Event Pairs Simultaneously
Table 5: Performance on TempEval-3 Test Data
['[EMPTY]', 'Approaches', 'F1', 'P', 'R']
In addition, both supervised systems were trained using TimeBank v1.2 Pustejovsky et al. The performance across the three systems is overall low, one reason is that the pairs of events that are in a temporal relation were not provided to the classifiers. Therefore, the classifiers had to identify temporally related event pairs as well as classify their temporal relations. We can see that the weakly supervised classifier achieved roughly equal performance as ClearTK, while the other supervised system presents a a different precision-recall tradeoff. Overall, without using any annotated data or sophisticated hand crafted features, our weakly supervised system achieved a F1-score comparable to both supervised trained systems.