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In scenarios in which crowdsourcing is applied to validate the results of machine computation tasks, question filtering relies on specific thresholds or historical information about the likelihood that human in- put will significantly improve the results generated algorithmically. Find-Fix-Verify addresses tasks that initially can be very complex (or very large), like in our case the discovery and classification of various types of errors in DBpedia.
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