Word and MWE senses can be modeled using entries of semantic lexicons like WordNet synsets (McCarthy, Venkatapathy, and Joshi 2007).
most discovery methods use distributional models (or word embeddings) instead, where senses are represented as vectors of co-occurring context words (Baldwin et al.