Furthermore, because the neural network uses a distributed representation, it is able to model lexical, part-of-speech (POS) tag, and arc label similarities in a continuous space.
although their model outperforms its greedy hand-engineered counterparts, it is not competitive with state-of-the-art dependency parsers that are trained for structured search.