SIM: Finally, for completeness, we experiment with a more obvious way to introduce word embeddings into tree kernels, resembling more closely the approach of Plank and Moschitti (2013).
ly, the SIM method simply replaces the similarity scores between word pairs obtained from LSA by the cosine similarities between the word embeddings to be used in the SSTK kernel.