This last optimization objective coincides with Xing et al. (2015) , but their work was motivated by an hypothetical inconsistency in <cite>Mikolov et al. (2013b)</cite> , where the optimization objective to learn word embeddings uses dot product, the objective to learn mappings uses Euclidean distance and the similarity computations use cosine.