This constrains the utility of many traditional tree kernels in two ways: i) two sentences that are syntactically identical, but have no semantic similarity can receive a high matching score (see Table 1, top) while ii) two sentences with only local syntactic overlap, but high semantic similarity can receive low scores (see Table 1, bottom).
distributional vector representations of words have been successful in capturing finegrained semantics, but lack syntactic knowledge.