Is human scoring the best criteria for summary evaluation?
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Abstract (arXiv)
Normally, summary quality measures are compared with quality scores produced by human annotators. A higher correlation with human scores is considered to be a fair indicator of a better measure. We discuss observations that cast doubt on this view. We attempt to show a possibility of an alternative indicator. Given a family of measures, we explore a criterion of selecting the best measure not relying on correlations with human scores. Our observations for the BLANC family of measures suggest that the criterion is universal across very different styles of summaries.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Dec 2020.
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Citing papers per year: 2021: 4; 2022: 2; 2023: 0; 2024: 1.
7 papers.
- 2021A Survey on Multi-modal Summarizationcited by 26
- 2021Estimation of Summary-to-Text Inconsistency by Mismatched Embeddingscited by 5
- 2024Mitigating the Impact of Reference Quality on Evaluation of Summarization Systems with Reference-Free Metricscited by 5
- 2022WIDAR -- Weighted Input Document Augmented ROUGEcited by 2
- 2021Does Summary Evaluation Survive Translation to Other Languages?cited by 1
- 2021Consistency and Coherence from Points of Contextual Similaritycited by 1
- 2022Neural Embeddings for Textcited by 0
- 2024Mitigating the Impact of Reference Quality on Evaluation of Summarization Systems with Reference-Free Metrics8 Oct 2024
- 2022Neural Embeddings for Text17 Aug 2022
- 2022WIDAR -- Weighted Input Document Augmented ROUGE23 Jan 2022
- 2021Consistency and Coherence from Points of Contextual Similarity22 Dec 2021
- 2021Does Summary Evaluation Survive Translation to Other Languages?16 Sep 2021
- 2021A Survey on Multi-modal Summarization11 Sep 2021
- 2021Estimation of Summary-to-Text Inconsistency by Mismatched Embeddings12 Apr 2021