We see that LCTM-UNK outperforms other topic models in almost every setting, demonstrating the superiority of our method, even when OOV words are ignored.
the fact that LCTM outperforms LCTM-UNK in all cases clearly illustrates that LCTM can effectively make use of information about OOV to further improve the representation of unseen documents.