We estimate p(s, w) as: where score(s, w) = |Ctx(s) ∩ Ctx(w)| + 1 (we add 1 as a smoothing factor).
in our algorithm we determine the best sense s by computing the intersection of the disambiguation contexts of s and w, and normalizing by the scores summed over all senses of w in Wikipedia and WordNet.