This approach is reminiscent of constraintdriven learning (Chang et al., 2007), as well as of multi-instance learning methods common in relation extraction (Riedel et al., 2010;Surdeanu et al., 2012).
we minimize where Θ is the set of model parameters, δ is a margin, and We rely primarily on Wikipedia to produce weak supervision.