OLLIE (Mausam et al., 2012) follows the idea of bootstrap learning of patterns based on dependency parse paths.
while WOE relies on Wikipedia-based bootstrapping, OLLIE applies a set of high precision seed tuples from its predecessor system REVERB (see section 2.2) to bootstrap a large training set over which it learns a set of extraction pattern templates using dependency parses (see Figure 2).