In conclusion, the majority of Lesk variants focused on extending the gloss to increase the chance of overlapping, while the proposed NBM aims to make better use of the limited lexical knowledge available.
to string matching, the probabilistic nature of our model offers a "softer" measurement of gloss-context association, resulting in a novel approach to unsupervised WSD with state-of-the-art performance in more than one WSD benchmark (Section 4).