As such, it can be viewed as a form of multi-task learning (Caruana, 1997), where we learn a shared representation that works well for discourse relation prediction and for language modeling.
but because these graphical models represent uncertainty for every element in the model, adding too many layers of latent variables makes them difficult to train.