By contrast, we wish to refine the learning procedure in a way such that the resulting model will be able to evaluate coherence on a more fine-grained level.
we propose a concise extension to the standard entity-based coherence model by learning not only from the original document and its corresponding permutations but also from ranking preferences among the permutations themselves.