Our work can be seen as a generalization of theirs to relationships of any kind, and we extend the use of frequency patterns to finding general n-gram entities rather than single word entities.
this step is still necessary for bootstrapping RE, since machine learning approaches require a sufficient number of positive examples to train the extractor.