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Generation Challenges: Results of the Accuracy Evaluation Shared Task

2021-08-12 10:24:34
Craig Thomson, Ehud Reiter
arXiv_CL
   
Abstract

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).

Abstract (translated)

URL

https://arxiv.org/abs/2108.05644

PDF

https://arxiv.org/pdf/2108.05644.pdf

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