The ReproGen Shared Task on Reproducibility of Human Evaluations in NLG: Overview and Results
The ReproGen Shared Task on Reproducibility of Human Evaluations in NLG: Overview and Results
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ReproGen 关于 NLG 中人类评估可重复性的共享任务:概述和结果
DOI:
10.18653/v1/2021.inlg-1.24
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发表时间:
2021
期刊:
影响因子:
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通讯作者:
Ehud Reiter
中科院分区:
文献类型:
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作者:
Anya Belz;Anastasia Shimorina;Shubham Agarwal;Ehud Reiter
The NLP field has recently seen a substantial increase in work related to reproducibility of results, and more generally in recognition of the importance of having shared definitions and practices relating to evaluation. Much of the work on reproducibility has so far focused on metric scores, with reproducibility of human evaluation results receiving far less attention. As part of a research programme designed to develop theory and practice of reproducibility assessment in NLP, we organised the first shared task on reproducibility of human evaluations, ReproGen 2021. This paper describes the shared task in detail, summarises results from each of the reproduction studies submitted, and provides further comparative analysis of the results. Out of nine initial team registrations, we received submissions from four teams. Meta-analysis of the four reproduction studies revealed varying degrees of reproducibility, and allowed very tentative first conclusions about what types of evaluation tend to have better reproducibility.
DOI:
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发表时间:
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期刊:
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影响因子:
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作者:
Anja Susanne Belz (Author)
通讯作者:
Anja Susanne Belz (Author)
DOI:
10.18653/v1/2020.inlg-1.23
发表时间:
2020
期刊:
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影响因子:
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作者:
David M. Howcroft;Anya Belz;Miruna Clinciu;Dimitra Gkatzia;Sadid A. Hasan;Saad Mahamood;Simon Mille;Emiel van Miltenburg;Sashank Santhanam;Verena Rieser
通讯作者:
David M. Howcroft;Anya Belz;Miruna Clinciu;Dimitra Gkatzia;Sadid A. Hasan;Saad Mahamood;Simon Mille;Emiel van Miltenburg;Sashank Santhanam;Verena Rieser