To obtain semantic vectors of questions and candidate answers as input to the subsequent QA Matching component, we leverage<cite> Yang et al.(2015)</cite> 's released code to train the Encoder component (with CNN) through their well-tuned individual-level optimization, and use their learnt semantic vectors.