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SemEval-2021 Task 12: Learning with Disagreements.

, , , , , , , and . SemEval@ACL/IJCNLP, page 338-347. Association for Computational Linguistics, (2021)

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A Case for Soft Loss Functions., , , , , and . HCOMP, page 173-177. AAAI Press, (2020)Beyond Black & White: Leveraging Annotator Disagreement via Soft-Label Multi-Task Learning., , , , , and . NAACL-HLT, page 2591-2597. Association for Computational Linguistics, (2021)Scaling and Disagreements: Bias, Noise, and Ambiguity., , and . Frontiers Artif. Intell., (2022)Learning from Disagreement: A Survey., , , , , and . J. Artif. Intell. Res., (2021)SemEval-2021 Task 12: Learning with Disagreements., , , , , , , and . SemEval@ACL/IJCNLP, page 338-347. Association for Computational Linguistics, (2021)SemEval-2023 Task 11: Learning with Disagreements (LeWiDi)., , , , , , , , and . SemEval@ACL, page 2304-2318. Association for Computational Linguistics, (2023)A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation., , , , , and . NAACL-HLT (1), page 1778-1789. Association for Computational Linguistics, (2019)Hard and Soft Evaluation of NLP models with BOOtSTrap SAmpling - BooStSa., , , and . ACL (demo), page 127-134. Association for Computational Linguistics, (2022)A Cluster Ranking Model for Full Anaphora Resolution., , and . CoRR, (2019)A Cluster Ranking Model for Full Anaphora Resolution., , and . LREC, page 11-20. European Language Resources Association, (2020)