Lexical patterns either have limited coverage (e.g., fixed set of patterns (Riloff and Wiebe, 2003)), or hard-tocontrol noise (e.g., bootstrapping approaches (Qiu et al., 2011)).
supervised models can achieve better performances than patterns on manually labeled datasets, but it is often difficult to obtain large number of annotations for the relation extraction task, and the trained models are also limited to specified domains.