text: We present a general method for learning such transformations from an annotated corpus and describe experiments with two << applications >> of the method : [[ identification of non-local depenencies ]] -LRB- using Penn Treebank data -RRB- and semantic role labeling -LRB- using Proposition Bank data -RRB- .