Improving unsupervised vector-space thematic fit evaluation via role-filler prototype clustering

Abstract

Most recent unsupervised methods in vector space semantics for assessing thematic fit (e.g. This leads to a kind of sparsity problem: candidate role-fillers for different senses of the verb end up being measured by the same "yardstick", the single prototypical role-filler.