Sebastian Padó and Mirella Lapata. 2007. Dependency-based Construction of Semantic Space Models. Computational Linguistics, 33:2, 161-199

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{Pado:Lapata:07,
  author = 	 {Sebastian Pad\'{o} and Mirella Lapata},
  title = 	 {Dependency-based Construction of Semantic Space Models},
  journal = 	 {Computational Linguistics},
  year = 	 2007, 
  volume =       33,
  number =       {2}, 
  pages =        {161--199}
}