The disambiguation of a new word w under a context C can now be accomplished as follows: we create a context vector − → c for C as above, and we compare it with every sense vector of w; the word is assigned to the sense corresponding to the closest sense vector.
if S w is the set of sense vectors for w, − → c the context vector for C, and distance measure, the preferred senseŝ is given by: For the actual clustering step we follow the setting of Kartsaklis et al.