To alleviate such drawback, attempts have been made to build relation extractors with a small set of seed instances or humancrafted patterns (Nakashole et al., 2011;Carlson et al., 2010), based on which more patterns and instances will be iteratively generated by bootstrap learning.
these methods often suffer from semantic drift (Mintz et al., 2009).