Note that for data point d j i = (x, y), which is the i th training instance of the j th data set, that y does not necessarily have to be a dependency tree.
in Section 3 and 4 we present a set of experiments defining diffent augmented losses covering a task-specific extrinsic loss (MT reordering), a domain adaptation loss, and an alternate intrinsic parser loss.