Our method uses a co-occurrence model augmented with a factorization algorithm to cluster verbs from a large corpus.
we use non-negative tensor factorization (NTF) (Shashua and Hazan, 2005), a generalization of matrix factorization that enables us to capture latent structure from multi-way co-occurrence frequencies.