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The Triple Scoring Task at the WSDM Cup 2017 involves the prediction of therelevance scores between persons and professions/nationalities. The groundtruth of the relevance scores was obtained by counting the vote of sevencrowdworkers. I confirmed that features related to task difficulty correlatewith the discrepancy among crowdworkers' judgement. This means such featuresare useful for predicting whether a score is in the middle or not. Hence, thefeatures were incorporated into the prediction model of the crowdsourcedrelevance scores. The introduced features improve the average score differenceof the prediction. The final ranking of my prediction was 4th for average scoredifference and 12th for both accuracy and Kendall's tau.

Predicting Triple Scoring with Crowdsourcing-specific Features - The fiddlehead Triple Scorer at WSDM Cup 2017