Both EntNet and QRN find a final answer by decoding the final vector(s) into a vocabulary entry via softmax classification.
many of the best performing factoid QA systems, e.g., (Seo et al., 2017a;Clark and Gardner, 2017), return an answer by finding a span of the original paragraph using attention-based span prediction, a method suitable when there is a large vocabulary.