A word pair is represented as a vector of features set up with the most meaningful patterns of context and filled in with information extracted from the graph representation of the corpus.
word pair representations Using the graph model G and the set of contextual patterns automatically acquired P, each word pair (x, y) is represented as a binary distribution over each pattern from P. Rather than using the input corpus to identify contexts of occurrence for the word pair (x, y) and match those with the acquired patterns, GraCE uses paths connecting x and y in G. All the paths between x and y up to three edges are extracted from G. These paths are then matched against the feature patterns from P and the word pair (x, y) is represented as a binary vector encoding non-zero values for all the features matching the pair's paths extracted from G, and zero otherwise.