Generation Challenges: Results of the Accuracy Evaluation Shared Task

Craig Thomson, Ehud Reiter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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).
Original languageEnglish
Title of host publicationThe 14th International Conference on Natural Language Generation
Subtitle of host publicationProceedings of the Conference
Pages240–248
Number of pages9
Publication statusPublished - 31 Aug 2021
EventThe 14th International Conference on Natural Language Generation - Virtual, Aberdeen, United Kingdom
Duration: 20 Sep 202124 Sep 2021
Conference number: 14
https://inlg2021.github.io/index.html

Conference

ConferenceThe 14th International Conference on Natural Language Generation
CountryUnited Kingdom
CityAberdeen
Period20/09/2124/09/21
Internet address

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