The main issue is that most of the words are strongly imbalanced in terms of their sense distribution, thus, due to the lack of required training data, the supervised approaches present a lower recall in all-words WSD setting.
we show that the lexical knowledge base with its expansions and the way they are exploited has a strong impact on wSD performance and the proposed method allows for the efficient utilisation of large lexical knowledge bases.