(2011)), the POS-tags and capitalisation features.
the inner representation at a node h is given by: Training Training this IORNN is to minimise the following objective function which is the regularised cross-entropy where D is the set of training dependency parses, m is the number of dependents; θ W , θ L are the weight matrix set and the word embeddings Implementation We decompose a dependent D into four features: dependency relation, POS-tag, lowercase version of word, capitalisation feature of word.