In our work, we not only indicate senses with the method which is based on similar knowledge (Levy and Goldberg, 2014), but also improve the associate distributional word representations.
we compute the context vector of each instance where C(w i ) is the context set of word instance w i which contains prototype of words, and v g (t) is the global vector of word t. we have where v c (w i , k) is the context vector of the k th sense of word w (prototype of w i ).