We use the same sub network as Chen and Manning (2014) to calculate o(x, y i , k, a k ) (Equation 5).
the greedy neural parser of Chen and Manning (2014) gives higher accuracies compared to the greedy linear MaltParser (Nivre and Scholz, 2004), but lags behind state-of-the-art linear systems with sparse features (Zhang and Nivre, 2011), which adopt global learning and beam search decoding (Zhang and Nivre, 2012).