Event detection aims to extract events with specific types from unstructured data, which is the crucial and challenging task in event related applications, such as event argument extraction and event coreference resolution. In this paper, we propose an event detection system that combines traditional featurebased methods and neural network (NN) models. Experiments show that our ensemble approaches can achieve promising performance in the Event Nugget Detection task.