  The Shared Task on Evaluating Accuracy focused on techniques (both manual and
automatic) for evaluating the factual accuracy of texts produced by neural NLG
systems, in a sports-reporting domain. Four teams submitted evaluation
techniques for this task, using very different approaches and techniques. The
best-performing submissions did encouragingly well at this difficult task.
However, all automatic submissions struggled to detect factual errors which are
semantically or pragmatically complex (for example, based on incorrect
computation or inference).
