Third, we show that large-scale, automatically-derived classes of in-stances can have as much as, or even bigger, practical impact in open-domain information extraction tasks than similar data from large-scale, highcoverage, manually-compiled resources.
evaluation results indicate that the accuracy of the extracted lists of attributes is higher by 8% at rank 10, 13% at rank 30 and 18% at rank 50, when using the automatically-extracted classes of instances rather than the comparatively more numerous and a-priori more reliable, humangenerated, collaboratively-vetted classes of instances available within Wikipedia (Remy, 2002).