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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- .
 used for: method, transformations; used for: annotated corpus, method; used for: method, applications; hyponym of: identification of non-local depenencies, applications; used for: Penn Treebank data, identification of non-local depenencies; hyponym of: semantic role labeling, applications; used for: Proposition Bank data, semantic role labeling
Given options, please tell me the relationships of all the listed entity pairs.Output format is "relation1: word1, word2; relation2: word3, word4". 
Option: conjunction, feature of, hyponym of, used for, part of, compare, evaluate for 
Text: {0} 
 Entity Pairs:  method, transformations; annotated corpus, method; method, applications; identification of non-local depenencies, applications; Penn Treebank data, identification of non-local depenencies; semantic role labeling, applications; Proposition Bank data, semantic role labeling 
Answer:
 used for: method, transformations; used for: annotated corpus, method; used for: method, applications; hyponym of: identification of non-local depenencies, applications; used for: Penn Treebank data, identification of non-local depenencies; hyponym of: semantic role labeling, applications; used for: Proposition Bank data, semantic role labeling