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https://doi.org/10.21256/zhaw-29048| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | Correction of errors in preference ratings from automated metrics for text generation |
| Authors: | Deriu, Jan von Däniken, Pius Tuggener, Don Cieliebak, Mark |
| et. al: | No |
| DOI: | 10.18653/v1/2023.findings-acl.404 10.21256/zhaw-29048 |
| Proceedings: | Findings of the Association for Computational Linguistics: ACL 2023 |
| Editors of the parent work: | Rogers, Anna Boyd-Graber, Roger Okazaki, Naoaki |
| Page(s): | 6456 |
| Pages to: | 6474 |
| Conference details: | 61st Annual Meeting of the Association for Computational Linguistics (ACL), Toronto, Canada, 9-14 July 2023 |
| Issue Date: | 2023 |
| Publisher / Ed. Institution: | Association for Computational Linguistics |
| Language: | English |
| Subjects: | Preference rating; Automated metrics; Machine translation; Text generation; Bayesian; Error correction |
| Subject (DDC): | 410.285: Computational linguistics |
| Abstract: | A major challenge in the field of Text Generation is evaluation: Human evaluations are cost-intensive, and automated metrics often display considerable disagreements with human judgments. In this paper, we propose to apply automated metrics for Text Generation in a preference-based evaluation protocol. The protocol features a statistical model that incorporates various levels of uncertainty to account for the error-proneness of the metrics. We show that existing metrics are generally over-confident in assigning significant differences between systems. As a remedy, the model allows to combine human ratings with automated ratings. We show that it can reduce the required amounts of human ratings to arrive at robust and statistically significant results by more than 50%, while yielding the same evaluation outcome as the pure human evaluation in 95% of cases. We showcase the benefits of the evaluation protocol for three text generation tasks: dialogue systems, machine translation, and text summarization. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/29048 |
| Fulltext version: | Published version |
| License (according to publishing contract): | CC BY 4.0: Attribution 4.0 International |
| Departement: | School of Engineering |
| Organisational Unit: | Centre for Artificial Intelligence (CAI) |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2023_Deriu-etal_Correction-of-errors-in-preference-ratings.pdf | 623.63 kB | Adobe PDF |  View/Open |
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Deriu, J., von Däniken, P., Tuggener, D., & Cieliebak, M. (2023). Correction of errors in preference ratings from automated metrics for text generation [Conference paper]. In A. Rogers, R. Boyd-Graber, & N. Okazaki (Eds.), Findings of the Association for Computational Linguistics: ACL 2023 (pp. 6456–6474). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.findings-acl.404
Deriu, J. et al. (2023) ‘Correction of errors in preference ratings from automated metrics for text generation’, in A. Rogers, R. Boyd-Graber, and N. Okazaki (eds) Findings of the Association for Computational Linguistics: ACL 2023. Association for Computational Linguistics, pp. 6456–6474. Available at: https://doi.org/10.18653/v1/2023.findings-acl.404.
J. Deriu, P. von Däniken, D. Tuggener, and M. Cieliebak, “Correction of errors in preference ratings from automated metrics for text generation,” in Findings of the Association for Computational Linguistics: ACL 2023, 2023, pp. 6456–6474. doi: 10.18653/v1/2023.findings-acl.404.
DERIU, Jan, Pius VON DÄNIKEN, Don TUGGENER und Mark CIELIEBAK, 2023. Correction of errors in preference ratings from automated metrics for text generation. In: Anna ROGERS, Roger BOYD-GRABER und Naoaki OKAZAKI (Hrsg.), Findings of the Association for Computational Linguistics: ACL 2023. Conference paper. Association for Computational Linguistics. 2023. S. 6456–6474
Deriu, Jan, Pius von Däniken, Don Tuggener, and Mark Cieliebak. 2023. “Correction of Errors in Preference Ratings from Automated Metrics for Text Generation.” Conference paper. In Findings of the Association for Computational Linguistics: ACL 2023, edited by Anna Rogers, Roger Boyd-Graber, and Naoaki Okazaki, 6456–74. Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.findings-acl.404.
Deriu, Jan, et al. “Correction of Errors in Preference Ratings from Automated Metrics for Text Generation.” Findings of the Association for Computational Linguistics: ACL 2023, edited by Anna Rogers et al., Association for Computational Linguistics, 2023, pp. 6456–74, https://doi.org/10.18653/v1/2023.findings-acl.404.
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