The feedforward model performs best overall among all of the neural architectures we explore (Table 2) . It outperforms the recursive neural network with bilinear output layer introduced by<cite> Ji and Eisenstein (2015)</cite> (p < 0.05; bootstrap test) and performs comparably with the surface feature baseline (Lin et al., 2009) , which uses various lexical and syntactic features and extensive feature selection.