Furthermore, in addition to learning the embedding vectors for words, we also learn the embedding vectors for relations (e.g., synonym and antonym) at the same time, by incorporating relational knowledge into the objective function of the word embedding learning algorithm.
the learning of word-sense representations and relation representations interacts with each other, such that the relational knowledge obtained from dictionaries is effectively incorporated.