There are two major differences between our approaches and the work in<cite> (Feng et al., 2015)</cite> : (1) The architectures developed in<cite> (Feng et al., 2015)</cite> are only based on CNN, whereas our models are based on bidirectional LSTMs, which are more capable of exploiting long-range sequential context information. Moreover, we also integrate the CNN structures on the top of biLSTM for better performance. (2)<cite> Feng et al. (2015)</cite> tackle the question and answer independently, while the proposed structures develop an efficient attentive models to generate answer embeddings according to the question.