annotator disagreement

Moderation in the Wild: Investigating User-Driven Moderation in Online Discussions EACL 2024 Moral Disagreement over Serious Matters: Discovering the Knowledge Hidden in the Perspectives COLING 2024 MultiPICo: Multilingual Perspectivist Irony Corpus ACL 2024 Noise Correction on Subjective Datasets ACL 2024 The Empirical Variability of Narrative Perceptions of Social Media Texts EMNLP 2024 The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels NAACL 2024 Voices in a Crowd: Searching for clusters of unique perspectives EMNLP 2024 ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation EMNLP 2023 Arguably at SemEval-2023 Task 11: Learning the disagreements using unsupervised behavioral clustering and language models SemEval 2023 Culturally Aware Natural Language Inference EMNLP 2023 Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo ACL 2023 Don’t waste a single annotation: improving single-label classifiers through soft labels EMNLP 2023 Dragonfly_captain at SemEval-2023 Task 11: Unpacking Disagreement with Investigation of Annotator Demographics and Task Difficulty SemEval 2023 iLab at SemEval-2023 Task 11 Le-Wi-Di: Modelling Disagreement or Modelling Perspectives? SemEval 2023 Investigating Multi-source Active Learning for Natural Language Inference EACL 2023 IREL at SemEval-2023 Task 11: User Conditioned Modelling for Toxicity Detection in Subjective Tasks SemEval 2023 SafeWebUH at SemEval-2023 Task 11: Learning Annotator Disagreement in Derogatory Text: Comparison of Direct Training vs Aggregation SemEval 2023 University at Buffalo at SemEval-2023 Task 11: MASDA–Modelling Annotator Sensibilities through DisAggregation SemEval 2023 When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks EMNLP 2023 Which Examples Should be Multiply Annotated? Active Learning When Annotators May Disagree ACL 2023 Why Don’t You Do It Right? Analysing Annotators’ Disagreement in Subjective Tasks EACL 2023 xiacui at SemEval-2023 Task 11: Learning a Model in Mixed-Annotator Datasets Using Annotator Ranking Scores as Training Weights SemEval 2023 You Are What You Annotate: Towards Better Models through Annotator Representations EMNLP 2023 DH-FBK at SemEval-2022 Task 4: Leveraging Annotators’ Disagreement and Multiple Data Views for Patronizing Language Detection SemEval 2022 Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators’ Disagreement EMNLP 2021