This result contrasts previous findings (Misra et al., 2009;<cite> Riedl and Biemann, 2012)</cite> in which the performance boost was credited to the indomain trained topics and supports our hypothesis that the performance boost of the LDA-based methods' with in-domain trained topics originates from information leakage between different portions of the synthetic Choi dataset.