To compute the discourse features, we use the word2vec word vector representations generated from a large corpus (Mikolov et al., 2013), which have been successfully used in the recent past to compute similarity between words (Schnabel et al., 2015).
we employ the model trained on the English Google News corpus 7 with about 100 billion words.