Crowdsourcing as a preprocessing for complex semantic annotation tasks

LREC 2014 H{\'e}ctor Mart{\'\i}nez AlonsoLauren Romeo

This article outlines a methodology that uses crowdsourcing to reduce the workload of experts for complex semantic tasks. We split turker-annotated datasets into a high-agreement block, which is not modified, and a low-agreement block, which is re-annotated by experts... (read more)

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