Sun et al. (2015) employ convolutional neural networks and neural tensor networks to model mentions, entities and contexts while <cite>Francis-Landau et al. (2016)</cite> combine CNN-based representations with sparse features to improve the performance. However, none of these work utilize recurrent neural networks to capture the coherence features as we do in this work.