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Making the Most of Crowd Information: Learning and Evaluation in AI tasks with Disagreements.
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We Need to Consider Disagreement in Evaluation
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Basile, Valerio; Fell, Michael; Fornaciari, Tommaso; Hovy, Dirk; Paun, Silviu; Plank, Barbara; Poesio, Massimo; Uma, Alexandra. - : Association for Computational Linguistics, 2021. : country:USA, 2021. : place:Stroudsburg, PA, 2021
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URL: https://doi.org/10.18653/v1/2021.bppf-1.3 https://aclanthology.org/2021.bppf-1.3 http://hdl.handle.net/2318/1800123
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A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation
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A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation
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