Our main goal in this work is not to provide top parsing accuracies, but rather to evaluate the ability of the proposed compositional architecture to learn and capture the structural cues that are needed for accurate parsing.
we are most interested in the random initialization setup: what can the network learn from the training corpus alone, without relying on external resources.