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In experiments using the Penn WSJ corpus , our automatically trained model gave a performance of 86.6 % -LRB- F1 , sentences < 40 words -RRB- , which is comparable to that of an unlexicalized PCFG parser created using extensive manual feature selection .
 evaluate for: Penn WSJ corpus, model; evaluate for: Penn WSJ corpus, unlexicalized PCFG parser; compare: model, unlexicalized PCFG parser; evaluate for: F1, model; evaluate for: F1, unlexicalized PCFG parser; used for: manual feature selection, unlexicalized PCFG parser
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:  Penn WSJ corpus, model; Penn WSJ corpus, unlexicalized PCFG parser; model, unlexicalized PCFG parser; F1, model; F1, unlexicalized PCFG parser; manual feature selection, unlexicalized PCFG parser 
Answer:
 evaluate for: Penn WSJ corpus, model; evaluate for: Penn WSJ corpus, unlexicalized PCFG parser; compare: model, unlexicalized PCFG parser; evaluate for: F1, model; evaluate for: F1, unlexicalized PCFG parser; used for: manual feature selection, unlexicalized PCFG parser