Our approach has a fundamentally different objective: we are not (primarily) interested in clusters of patterns or their semantic representation, but in predicting patterns where they are not observed.
our objective is to complete the matrix, whereas their objective is to learn better latent embeddings of words (which by themselves again cannot capture any sense of asymmetry).