Furthermore, the corruption mechanism is nothing other than traditional dropout on the input layer.
coupled with the word2vec-style loss and training methods, this paper offers little on the novelty front.it is very efficient at generation time, requiring only an average of the word embeddings rather than a complicated inference step as in Doc2Vec.