Papers › Generation Challenges: Results of the Accuracy Evaluation Shared Task

Generation Challenges: Results of the Accuracy Evaluation Shared Task

12 Aug 2021INLG (ACL) 2021 8arXiv:2108.05644archive 2025-07-28

Craig Thomson, Ehud Reiter

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).

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