It has been shown (Mikolov et al., 2013), that the presence of multi-word phrases intermixed with unigram words increases the performance and accruacy of the embedding models trained using techniques such as Word2Vec.
in our framework we take a different approach in detecting meaningful and cohesive chunk of phrases while preparing the text samples for training.