More recently, Wang and Jiang (2016) proposed two endto-end neural network models, one of which chunks a candidate answer by predicting the answer's two boundary indices and the other classifies each passage word into answer/notanswer. Both models improved significantly over the method proposed by <cite>Rajpurkar et al. (2016)</cite> .