The four classifiers take the previous hidden state H [:,t ] and the output embedding of the current node W ho • e(w t ) as features.
6 we use a trained LDTREELSTM to go through the training corpus and generate hidden states and embeddings as input features; the corresponding class labels (true and false) are "read off" the training dependency trees.