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Although the experiments in this article are on natural language parsing -LRB- NLP -RRB- , the approach should be applicable to many other NLP problems which are naturally framed as ranking tasks , for example , speech recognition , machine translation , or natural language generation .
 used for: ranking tasks, NLP problems; hyponym of: speech recognition, NLP problems; hyponym of: speech recognition, ranking tasks; conjunction: speech recognition, machine translation; hyponym of: machine translation, NLP problems; hyponym of: machine translation, ranking tasks; conjunction: machine translation, natural language generation; hyponym of: natural language generation, NLP problems; hyponym of: natural language generation, ranking tasks
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:  ranking tasks, NLP problems; speech recognition, NLP problems; speech recognition, ranking tasks; speech recognition, machine translation; machine translation, NLP problems; machine translation, ranking tasks; machine translation, natural language generation; natural language generation, NLP problems; natural language generation, ranking tasks 
Answer:
 used for: ranking tasks, NLP problems; hyponym of: speech recognition, NLP problems; hyponym of: speech recognition, ranking tasks; conjunction: speech recognition, machine translation; hyponym of: machine translation, NLP problems; hyponym of: machine translation, ranking tasks; conjunction: machine translation, natural language generation; hyponym of: natural language generation, NLP problems; hyponym of: natural language generation, ranking tasks