Using the tiered clustering model, we derive a multi-prototype representation capable of capturing varying degrees of sharing between word senses, and demonstrate its effectiveness in lexical semantic tasks where such sharing is desirable.
we show that tiered clustering outperforms the multi-prototype approach for (1) selectional preference (Resnik, 1997;Pantel et al., 2007), i.e.