Our proposed method randomly initialises each word w i and each of its senses s ij with unique embedding vectors, and update those vectors such that the rank loss between words and senses that cooccur in unlabelled or labelled contexts is minimised over the entire vocabulary of words.
we do not require sense lexicons or dictionary definitions (glosses) of words/senses in this process.