These results suggest that the power gained from the the more sophisticated MIML-RE model is best used in conjunction with a small amount of training data.
using MIML-RE as a principled model for combining a large distantly labeled corpus and a small number of careful annotations yields significant improvement over using either of the two data sources alone.