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In this paper , we propose a more principled way to identify annotation outliers by formulating the interestingness prediction task as a unified robust learning to rank problem , tackling both the outlier detection and interestingness prediction tasks jointly .
 used for: way, annotation outliers; used for: way, outlier detection; used for: way, interestingness prediction tasks; used for: interestingness prediction task, annotation outliers; used for: unified robust learning, interestingness prediction task; used for: unified robust learning, rank problem; conjunction: outlier detection, interestingness prediction 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:  way, annotation outliers; way, outlier detection; way, interestingness prediction tasks; interestingness prediction task, annotation outliers; unified robust learning, interestingness prediction task; unified robust learning, rank problem; outlier detection, interestingness prediction tasks 
Answer:
 used for: way, annotation outliers; used for: way, outlier detection; used for: way, interestingness prediction tasks; used for: interestingness prediction task, annotation outliers; used for: unified robust learning, interestingness prediction task; used for: unified robust learning, rank problem; conjunction: outlier detection, interestingness prediction tasks