Recently, with the advance of neural network techniques, deep learning methods (Zeng et al., 2014(Zeng et al., , 2015 are introduced, and the hope is to model noisy distant supervision process in the hidden layers.
their approach only selects one most plausible instance per entity pair, inevitably missing out a lot of valuable training instances.