On the viability of crowdsourcing NLP annotations in healthcare

For most annotation tasks in healthcare, we must rely on trained experts, who are always in high-demand, creating a bottleneck for system development. Can we address this limitation by crowdsourcing the easier annotation tasks in this space? We report on an experiment addressing this question, with a focus on how to identify problematic workers and infer reliable annotations from noisy crowd work……

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On the viability of crowdsourcing NLP annotations in healthcare

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