Distributed models of semantics assume that word meanings can be discovered from “the company they keep.” Many such approaches learn semantics from large corpora, with each document considered to be unstructured bags of words, ignoring syntax and compositionality within a document. In contrast, this paper proposes a structured vectorial semantic framework, in which semantic vectors are defined ...