In neural network architecture, the words, POS tags and arc labels are mapped into distributed vectors (embeddings).
given the word embedding matrix E w ∈ R de×nw , each word w i is mapped into its corresponding column e w w i ∈ R de of E w according to its index in the dictionary, where d e is the dimensionality of embeddings and n w is the dictionary size.