The main contributions of this paper are as follows: 1) we propose a novel neural approach for non-factoid answer reranking that achieves state-4 http://askubuntu.com of-the-art performance on a public dataset of Yahoo! Answers; 2) we combine this approach with an approach based on discourse features that was introduced by<cite> Jansen et al. (2014)</cite> , with the hybrid approach outperforming the neural approach and the previous state-of-the-art; 3) we introduce a new dataset of Ask Ubuntu questions and answers.