Finally, the most likely set of labels is determined by identifying for each word the label that has the highest score.
recent comparative evaluations of different variants of the Lesk algorithm have shown that the performance of the original algorithm is significantly exceeded by an algorithm variation that relies on the overlap between word senses and current context (Vasilescu et al., 2004).