S. Pado and M. Lapata. Dependency-based Construction of Semantic Space Models. Computational Linguistics 33(2), 161-199. doi:10.1162/coli.2007.33.2.161

Traditionally, vector-based semantic space models use word co-occurrence counts from large corpora to represent lexical meaning. In this article we present a novel framework for constructing semantic spaces that take syntactic relations into account. We introduce a formalization for this class of models which allows linguistic knowledge to guide the construction process. We evaluate our framework on a range of tasks relevant for cognitive science and natural language processing: semantic priming, synonymy detection and word sense disambiguation. In all cases, our framework obtains results that are comparable or superior to the state of the art.

@Article{pado07:_depen,
  author = 	 {Sebastian Pado and Mirella Lapata},
  title = 	 {Dependency-based construction of 
                  semantic space models},
  journal = 	 {Computational Linguistics},
  year = 	 2007,
  volume =	 33,
  number =	 2,
  pages =        {161--199}
}