Combining Results with(in) a Voting System

In previous sections, we have demonstrated that it is possible to integrate two different WSD approaches. In this section we evaluate the performance when combining a knowledge-based system, such as specification marks, and a corpus-based system, such as maximum entropy, in a simple voting schema.

In the two previous experiments we attempted to provide more information by pre-disambiguating the data. Here, we use both methods in parallel and then we combine their classifications in a voting system, both for SENSEVAL-2 Spanish and English lexical-sample tasks.