Second, for dissimilar annotation tasks -take, e.g., a comprehensive HLT pipeline incorporating morphological, syntactic and semantic data -a classifier might require features as input which constitute the output of another preceding classifier.
training such a classifier which takes into account several annotation tasks will best be performed on a rich corpus annotated with respect to all inputrelevant tasks.