Aligning Packed Dependency Trees: a theory of composition for   distributional semantics
  We present a new framework for compositional distributional semantics in which the distributional contexts of lexemes are expressed in terms of anchored packed dependency trees. We show that these structures have the potential to capture the full sentential contexts of a lexeme and provide a uniform basis for the composition of distributional knowledge in a way that captures both mutual disambiguation and generalization. 
David Weir, Julie Weeds, Jeremy Reffin and Thomas Kober
cs.CL