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ARR Data Collection Initiative 2024

dc.contributor.authorLu, Sheng
dc.contributor.authorDycke, Nils
dc.contributor.authorTonja, Atnafu Lambebo
dc.contributor.authorSolorio, Thamar
dc.contributor.authorZhu, Xiaodan
dc.contributor.authorDercksen, Koen
dc.contributor.authorQu, Lizhen
dc.contributor.authorMieskes, Margot
dc.contributor.authorHovy, Dirk
dc.contributor.authorGurevych, Iryna
dc.date.accessioned2025-02-07T13:59:45Z
dc.date.available2025-02-07T13:59:45Z
dc.date.issued2025-02
dc.identifier.urihttps://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4460
dc.descriptionDataset of peer review reports, meta-reviews, reviewer-author discussions, and paper drafts collected from ACL Rolling Review within the context of the new data collection initiative (https://arr-data.aclweb.org/protocol/). All included data is explicitly licensed by the authors and reviewers for publication. This dataset is not meant for commercial purposes. This dataset should not be used for pre-training of neural models such as large language models. Version v.1 is the base version. Version v.1.1 now also includes camera-ready PDFs of Findings papers. Download this newest version!de_DE
dc.language.isoende_DE
dc.relationIsPartOf;URL;https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4459
dc.relationContinues;URL;https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3618
dc.rightsCreative Commons Attribution-NonCommercial 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectpeer reviewde_DE
dc.subjectnlp for peer reviewde_DE
dc.subjectarrde_DE
dc.subject.classification4.43-04 Künstliche Intelligenz und Maschinelle Lernverfahrende_DE
dc.subject.classification4.43-05 Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous und Wearable Computingde_DE
dc.subject.ddc004
dc.titleARR Data Collection Initiative 2024de_DE
dc.typeTextde_DE
dc.description.version1de_DE
tud.unitTUDa


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Creative Commons Attribution-NonCommercial 4.0
Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial 4.0