During decoding, each span is scored using a softmax over the final classifier output to generate a distribution over the possible labels, with the argmax score for each span taken as the correct answer. Fig. 11 .10 illustrates this approach with an example. A variation on this scheme designed to improve precision adds a calibrated threshold to the labeling of a span as anything other than NULL.