Word sense disambiguation is often assumed to be an intermediate task, which should then help higher level applications such as machine translation or information retrieval.
the first voting model is a naive Bayes model, since Yarowsky and Florian (2002) found this model to be the most accurate classifier in a comparative study on a subset of Senseval-2 English lexical sample data.