The Dynamic Multi-pooling Convolutional Neural Networks (DMCNNs) is the best reported CNN-based model for event extraction  by using human-annotated training data.
our automatically labeled data face a noise problem, which is a intrinsic problem of using DS to construct training data (Hoffmann et al., 2011;Surdeanu et al., 2012).