A more effective solution is the application of convolution kernels to constituent parse trees (Zhang et al., 2006) but this is not satisfactory from a general per-spective since dependency structures offer some unique advantages, which should be exploited by an appropriate kernel.
studying convolution tree kernels for dependency trees is worthwhile also considering that, to the best of our knowledge, these models have not been previously used for relation extraction 1 task.