Traditional extraction approaches require annotated examples, which makes it difficult to scale to the explosion of extraction demands.
there has been increasing interest in indirect supervision (Banko et al., 2007;Poon and Domingos, 2009;, with distant supervision (Craven et al., 1998;Mintz et al., 2009) emerging as a particularly promising paradigm for augmenting existing knowledge bases from unlabeled text Parikh et al., 2015).