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This paper investigates the utility of applying standard MT evaluation methods -LRB- BLEU , NIST , WER and PER -RRB- to building classifiers to predict semantic equivalence and entailment .
 used for: MT evaluation methods, classifiers; hyponym of: BLEU, MT evaluation methods; conjunction: BLEU, NIST; hyponym of: NIST, MT evaluation methods; conjunction: NIST, WER; hyponym of: WER, MT evaluation methods; conjunction: WER, PER; hyponym of: PER, MT evaluation methods; used for: classifiers, semantic equivalence; used for: classifiers, entailment; conjunction: semantic equivalence, entailment
Given a phrase that describes the relationship between two words, extract the words and the lexical relationship between them. The output format should be "relation1: word1, word2; relation2: word3, word4". 
Option: conjunction, feature of, hyponym of, used for, part of, compare, evaluate for 
Text: {0} 
Answer:
 used for: MT evaluation methods, classifiers; hyponym of: BLEU, MT evaluation methods; conjunction: BLEU, NIST; hyponym of: NIST, MT evaluation methods; conjunction: NIST, WER; hyponym of: WER, MT evaluation methods; conjunction: WER, PER; hyponym of: PER, MT evaluation methods; used for: classifiers, semantic equivalence; used for: classifiers, entailment; conjunction: semantic equivalence, entailment