For example, if an auxiliary clustering model q(z | x, y)-perhaps one that did not make such independence assumptions-were used, the posterior probability q(Z i = z | x, y) could be a feature in the proposed model.
conditional distributions over outputs (here, trees) given inputs (here, sentences) have certain advantages.