The only study explicitly targeting this problem so far is by<cite> Plank and Moschitti (2013)</cite> who find that the out-of-domain performance of kernel-based relation extractors can be improved by embedding semantic similarity information generated from word clustering and latent semantic analysis (LSA) into syntactic tree kernels.