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Agreement is overrated: A plea for correlation to assess human evaluation reliability.

, , and . INLG, page 344-354. Association for Computational Linguistics, (2019)

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The use of rating and Likert scales in Natural Language Generation human evaluation tasks: A review and some recommendations., , and . INLG, page 397-402. Association for Computational Linguistics, (2019)Similarity or deeper understanding? Analyzing the TED-Q dataset of evoked questions., , and . COLING, page 5004-5012. International Committee on Computational Linguistics, (2020)QTMM2012c+: A Queryable Empirically-grounded Resource of Dialogue with Argumentation., , and . AI³@AI*IA, volume 3086 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Opening up Minds with Argumentative Dialogues., , , , , , and . EMNLP (Findings), page 4569-4582. Association for Computational Linguistics, (2022)Evaluation methodologies in Automatic Question Generation 2013-2018., , and . INLG, page 307-317. Association for Computational Linguistics, (2018)A Dataset to Assess Microsoft Copilot Answers in the Context of Swiss, Bavarian and Hessian Elections., , , , , and . ICWSM, page 2040-2050. AAAI Press, (2024)Rethinking the Agreement in Human Evaluation Tasks., , and . COLING, page 3318-3329. Association for Computational Linguistics, (2018)Agreement is overrated: A plea for correlation to assess human evaluation reliability., , and . INLG, page 344-354. Association for Computational Linguistics, (2019)Opening up Minds with Argumentative Dialogues., , , , , , and . CoRR, (2023)Identifying Annotator Bias: A new IRT-based method for bias identification., , and . COLING, page 4787-4797. International Committee on Computational Linguistics, (2020)