In addition, the original features used in the normal classifier are also used in order to leverage the knowledge from the target annotation of the parallel annotated corpus, and the training procedure of the transfer classifier also learns the relative weights between the guiding features and the original features.
the knowledge from both the source annotation and the target annotation are automatically integrated together, and higher and more stable prediction accuracy can be achieved.