TAMU at KBP 2017: Event Nugget Detection and Coreference Resolution
Table 8: Performance comparison of our ensemble system with the best and the worst member classifiers on KBP 2016 evaluation dataset
['[BOLD] System', '[BOLD] Span', '[BOLD] Type', '[BOLD] Realis', '[BOLD] All']
The results show that combining multiple classifiers helped overcome the inherent problem of the neural network to over-fit according to the specific dataset. Including diverse classifiers with different dropout and network architecture helped reduce variance in the final prediction.