This paper proposes two approaches to compositional
semantics in distributional semantic spaces. Both approaches
conceive the semantics of complex structures, such
as phrases or sentences, as being other than the sum of its
terms. Syntax is the plus used as a glue to compose words. The
former kind of approach encodes information about syntactic
dependencies directly into distributional spaces, the latter exploits
compositional operators reflecting the syntactic role of words.
We present a preliminary evaluation performed on GEMS
2011 “Compositional Semantics” dataset, with the aim of understanding
the effects of these approaches when applied to
simple word pairs of the kind Noun-Noun, Adjective-Noun and
Verb-Noun. Experimental results corroborate our conjecture that
exploiting syntax can lead to improved distributional models and
compositional operators, and suggest new openings for future
uses in real-application scenario.