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Through two experiments , three methods for constructing word vectors , i.e. , LSA-based , cooccurrence-based and dictionary-based methods , were compared in terms of the ability to represent two kinds of similarity , i.e. , taxonomic similarity and associative similarity .
 used for: methods, constructing word vectors; used for: LSA-based , cooccurrence-based and dictionary-based methods, similarity; hyponym of: taxonomic similarity, similarity; conjunction: taxonomic similarity, associative similarity; hyponym of: associative similarity, similarity
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:  methods, constructing word vectors; LSA-based , cooccurrence-based and dictionary-based methods, similarity; taxonomic similarity, similarity; taxonomic similarity, associative similarity; associative similarity, similarity 
Answer:
 used for: methods, constructing word vectors; used for: LSA-based , cooccurrence-based and dictionary-based methods, similarity; hyponym of: taxonomic similarity, similarity; conjunction: taxonomic similarity, associative similarity; hyponym of: associative similarity, similarity