Reisinger and Mooney (2010b) introduced a multi-prototype VSM where word sense discrimination is first applied by clustering contexts, and then prototypes are built using the contexts of the sense-labeled words.
in order to cluster accurately, it is important to capture both the syntax and semantics of words.