Second, we introduce the use of vector space similarity in random walk inference in order to reduce the sparsity of surface forms.
when following a sequence of edge types in a random walk on a graph, we allow the walk to follow edges that are semantically similar to the given edge types, as defined by some vector space embedding of the edge types.