This paper demonstrates that a data-aware crowdsourcing model incorporating a generative multinomial data model enjoys a strong competitive advantage over its discriminative log-linear counterpart in the typical crowdsourcing setting.
the generative approach is better except when the annotators are highly accurate in which case simple majority vote is often sufficient.