We conducted experiments on the standard ACE 2003 evaluation set and showed that whereas some kernels are less effective than others, they exhibit properties that are complementary to each other.
we found that relation extraction can benefit from increasing the feature space through convolution kernel and introducing bias towards more syntactically meaningful feature space.