This is not surprising, given that while the unlexicalized models only have access to syntactic sources of information, the lexicalized models, like the human parser, can also take into account lexical cooccurrence trends.
when a training corpus is not large enough to accurately capture the latter, it might still be able to model the former, given the higher frequency of occurrence of each possible item (POS vs. word) in the training data.