A step further, such classifier can be viewed as a means for testing whether or not a word has the same meaning as E. This is a problem close to WSD as it is performed in the context of the pseudo-word disambiguation paradigm (Gale et al., 1992): a pseudo-word is created with two senses, E and notE, notE corresponding to one or several words that are supposed to be representative of a meaning different from the meaning of E. The objective is then to build a classifier for distinguishing the pseudo-senses E and notE.
of this view, we adopt the same kind of features as the ones used for WSD for building our classifier.