Whereas early approaches to unsupervised text segmentation measured the coherence of segments via raw term overlaps between sentences (Hearst, 1997; Choi, 2000) , more recent methods (Misra et al., 2009;<cite> Riedl and Biemann, 2012)</cite> addressed the issue of sparsity of term-based representations by replacing term-vectors with vectors of latent topics.