Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-29064
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dc.contributor.authorBelz, Anya-
dc.contributor.authorThomson, Craig-
dc.contributor.authorReiter, Ehud-
dc.contributor.authorCieliebak, Mark-
dc.contributor.authorHürlimann, Manuela-
dc.date.accessioned2023-11-10T18:40:19Z-
dc.date.available2023-11-10T18:40:19Z-
dc.date.issued2023-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/29064-
dc.description.abstractWe report our efforts in identifying a set of previous human evaluations in NLP that would be suitable for a coordinated study examining what makes human evaluations in NLP more/less reproducible. We present our results and findings, which include that just 13% of papers had (i) sufficiently low barriers to reproduction, and (ii) enough obtainable information, to be considered for reproduction, and that all but one of the experiments we selected for reproduction was discovered to have flaws that made the meaningfulness of conducting a reproduction questionable. As a result, we had to change our coordinated study design from a reproduce approach to a standardise-then-reproduce-twice approach. Our overall (negative) finding that the great majority of human evaluations in NLP is not repeatable and/or not reproducible and/or too flawed to justify reproduction, paints a dire picture, but presents an opportunity for a rethink about how to design and report human evaluations in NLP.de_CH
dc.language.isoende_CH
dc.publisherAssociation for Computational Linguisticsde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectReproducibilityde_CH
dc.subjectSystem evaluationde_CH
dc.subjectNatural language processingde_CH
dc.subject.ddc410.285: Computerlinguistikde_CH
dc.titleMissing information, unresponsive authors, experimental flaws : the impossibility of assessing the reproducibility of previous human evaluations in NLPde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitCentre for Artificial Intelligence (CAI)de_CH
dc.identifier.doi10.18653/v1/2023.insights-1.1de_CH
dc.identifier.doi10.21256/zhaw-29064-
zhaw.conference.detailsThe Fourth Workshop on Insights from Negative Results in NLP, Dubrovnik, Croatia, 2-6 May 2023de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end10de_CH
zhaw.pages.start1de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsThe Fourth Workshop on Insights from Negative Results in NLPde_CH
zhaw.webfeedNatural Language Processingde_CH
zhaw.author.additionalYesde_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Engineering

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Belz, A., Thomson, C., Reiter, E., Cieliebak, M., & Hürlimann, M. (2023). Missing information, unresponsive authors, experimental flaws : the impossibility of assessing the reproducibility of previous human evaluations in NLP [Conference paper]. The Fourth Workshop on Insights from Negative Results in NLP, 1–10. https://doi.org/10.18653/v1/2023.insights-1.1
Belz, A. et al. (2023) ‘Missing information, unresponsive authors, experimental flaws : the impossibility of assessing the reproducibility of previous human evaluations in NLP’, in The Fourth Workshop on Insights from Negative Results in NLP. Association for Computational Linguistics, pp. 1–10. Available at: https://doi.org/10.18653/v1/2023.insights-1.1.
A. Belz, C. Thomson, E. Reiter, M. Cieliebak, and M. Hürlimann, “Missing information, unresponsive authors, experimental flaws : the impossibility of assessing the reproducibility of previous human evaluations in NLP,” in The Fourth Workshop on Insights from Negative Results in NLP, 2023, pp. 1–10. doi: 10.18653/v1/2023.insights-1.1.
BELZ, Anya, Craig THOMSON, Ehud REITER, Mark CIELIEBAK und Manuela HÜRLIMANN, 2023. Missing information, unresponsive authors, experimental flaws : the impossibility of assessing the reproducibility of previous human evaluations in NLP. In: The Fourth Workshop on Insights from Negative Results in NLP. Conference paper. Association for Computational Linguistics. 2023. S. 1–10
Belz, Anya, Craig Thomson, Ehud Reiter, Mark Cieliebak, and Manuela Hürlimann. 2023. “Missing Information, Unresponsive Authors, Experimental Flaws : The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP.” Conference paper. In The Fourth Workshop on Insights from Negative Results in NLP, 1–10. Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.insights-1.1.
Belz, Anya, et al. “Missing Information, Unresponsive Authors, Experimental Flaws : The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP.” The Fourth Workshop on Insights from Negative Results in NLP, Association for Computational Linguistics, 2023, pp. 1–10, https://doi.org/10.18653/v1/2023.insights-1.1.


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