Whereas supervised WSD exploits a training set to perform sense classification, knowledge-based approaches use lexical knowledge bases instead.
a similar operation to that of providing an increasingly large training set is to enrich basic knowledge bases such as WordNet with additional semantic edges, as has previously been done, among others, by Navigli (2005), Cuadros and Rigau (2008), and Navigli and Lapata (2010).