Indeed, the latter only exploit lexical similarity measures, which are typically also generated by NNs.
even if our conjecture were wrong, the bottom line would be that, thanks to our approach, we can have NN models comparable to TK-based approaches, by also avoiding to use syntactic parsing and expensive TK processing at deployment time.