In the proposed model, in addition to the co-occurrence edges, we link two nodes (words) if the corresponding word embedding representation is similar. 
 Question: Do the use word embeddings alone or they replace some previous features of the model with word embeddings?
They use it as addition to previous model - they add new edge between words if word embeddings are similar.