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} } |