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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- .
 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
Please list all entity pairs containing a certain relationship in the given options.Output format is "word1, word2; word3, word4". 
Option: conjunction, feature of, hyponym of, used for, part of, compare, evaluate for 
Text: {0} 
Answer:
 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