An analysis was then performed to compare the disambiguation performance of a supervised WSD system on a given ambiguous word against its corresponding pseudoword.
for our manually sense-tagged corpus we used the Senseval-3 English lexical sample dataset (Mihalcea et al., 2004), which contains 3593 and 1807 sense-tagged sentences for 20 ambiguous nouns (with an average polysemy degree of 5.8) in its training and test sets, respectively.