More recent models (Misra et al., 2009;<cite> Riedl and Biemann, 2012)</cite> employed the latent Dirichlet allocation (LDA) (Blei et al., 2003) to compute the latent topics and displayed superior performance to previous models on standard synthetic datasets (Choi, 2000; Galley et al., 2003) .