To make use of such knowledge in the relational model, we first transform the sequence distributions into span-based distributions.
we derive the marginal distribution for any given span a = (w s , ..., w t ), 1 ≤ s ≤ t < n, and a non-empty semantic role label r as: Here we drop the dependency on p, and f for brevity.