Therefore, we define the significance of w i in its context to be: It turns out ↵ s can be rewritten as and we use the fact that V i is an orthogonal matrix and q i is orthogonal to all but the last column of S i , v w i .
↵ s is essentially the distance between w i and the context hyper-plane, normalized by the context size.