To alleviate the wrong labeling problem, distant supervised methods have been implemented with multi-instance learning and neural networks (Riedel et al., 2010;Hoffmann et al., 2011;Zeng et al., 2015;Lin et al., 2016Lin et al., , 2017.
previous works focus on positive instances and few methods have addressed the issue of false negative instances.