While this neural network structure captures the idea of compositionality over the RST tree, the most deeply embedded discourse units can be heavily down-weighted by the recursive composition (assuming K s < K n ): in the most extreme case of a right-branching or left-branching structure, the recursive operator may be applied N times to the most deeply embedded EDU.
discourse depth reweighting applies a uniform weight of 0.5 to all discourse units with depth ≥ 3.