One nice property of our model is that it naturally provides explanations for its predictions: the model identifies rationales and then categorizes documents informed by these.
if the model classifies a test instance as positive, then by construction the sentences associated with the highest p ij pos estimates are those that the model relied on most in coming to this disposition.