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} }