A number of relation extraction kernels have been proposed, including dependency tree kernels (Culotta and Sorensen, 2004), shortest dependency path kernels (Bunescu and Mooney, 2005) and more recently convolution tree kernels (Zhang et al., 2006;Qian et al., 2008).
in both feature-based and kernel-based studies, availability of sufficient labeled training data is always assumed.