Evaluating NLG systems: A brief introduction
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Abstract (arXiv)
This year the International Conference on Natural Language Generation (INLG) will feature an award for the paper with the best evaluation. The purpose of this award is to provide an incentive for NLG researchers to pay more attention to the way they assess the output of their systems. This essay provides a short introduction to evaluation in NLG, explaining key terms and distinctions.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 6 of its 10 references that are in the map. First posted on arXiv 29 Mar 2023.
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6 of 10 references.
References · 6
- 2020Evaluation of Text Generation: A Surveycited by 277
- 2020A Survey of Evaluation Metrics Used for NLG Systemscited by 164
- 2022Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Textcited by 155
- 2021Preregistering NLP Researchcited by 25
- 2021The Human Evaluation Datasheet 1.0: A Template for Recording Details of Human Evaluation Experiments in NLPcited by 19
- 2021Underreporting of errors in NLG output, and what to do about itcited by 19
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