We used the spectral clustering (SPEC) method and settings as in<cite> Sun and Korhonen (2009)</cite> but adopted the Bhattacharyya kernel (Jebara and Kondor, 2003) to improve the computational efficiency of the approach given the high dimensionality of the quadratic feature space.