Outside of NLP, in tasks such as computer vision, certain classes of fully-connected graphical models over the output pixels have been used for multi-dimensional smoothing (Adams et al., 2010;Krähenbühl and Koltun, 2011), borrowing techniques for the graphics literature.
none of these models performs representation learning in the output space, as in the case of our proposed embedded latent-state model.