Our Contribution: We propose an extension of the distributional idea for unsupervised iSRL to loosen the need for annotated training data.
we propose to induce predicate and role-specific prototypical fillers from large amounts of SRL annotated texts in order to resolve null instantiations as (semantically and syntactically) similar elements found in the context.