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Computational Linguistics

Paola Merlo, Editor
June 2007, Vol. 33, No. 2, Pages 161-199
(doi: 10.1162/coli.2007.33.2.161)
© 2007 Massachusetts Institute of Technology
Dependency-Based Construction of Semantic Space Models
Article PDF (276.97 KB)
Abstract

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 takes 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.