  This survey presents in some detail the main advances that have been recently
taking place in Computational Linguistics towards the unification of the two
prominent semantic paradigms: the compositional formal semantics view and the
distributional models of meaning based on vector spaces. After an introduction
to these two approaches, I review the most important models that aim to provide
compositionality in distributional semantics. Then I proceed and present in
more detail a particular framework by Coecke, Sadrzadeh and Clark (2010) based
on the abstract mathematical setting of category theory, as a more complete
example capable to demonstrate the diversity of techniques and scientific
disciplines that this kind of research can draw from. This paper concludes with
a discussion about important open issues that need to be addressed by the
researchers in the future.

Computation and Language;Artificial Intelligence;Category Theory