🔗 Who cites «Beyond Black & White: Leveraging Annotator Disagreement via Soft-Label Multi-Task Learning»

78 papers of our library cite it (of the 141,840 whose bibliographies we read) · 10 with a page here, the most cited first · ← back to «Beyond Black & White: Leveraging Annotator Disagreement via Soft-Label Multi-Task Learning»

1. Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language DetectionMaarten Sap, Swabha Swayamdipta, Laura Vianna, et al.2022 · 365 citations
2. The “Problem” of Human Label Variation: On Ground Truth in Data, Modeling and EvaluationBarbara Plank2022 · 364 citations
3. Two Contrasting Data Annotation Paradigms for Subjective NLP TasksPaul Röttger, Bertie Vidgen, Dirk Hovy, et al.2022 · 219 citations
4. We Need to Consider Disagreement in EvaluationValerio Basile, Michael Fell, Tommaso Fornaciari, et al.2021 · 185 citations
5. NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment AnalysisShamsuddeen Hassan Muhammad, David Ifeoluwa Adelani, Sebastian Ruder, et al.2022 · 127 citations
6. Investigating Reasons for Disagreement in Natural Language InferenceNan-Jiang Jiang, Marie-Catherine de Marneffe2022 · 104 citations
7. SemEval-2023 Task 11: Learning with Disagreements (LeWiDi)Elisa Leonardelli, Gavin Abercrombie, Dina Almanea, et al.2023 · 100 citations
8. Annotation Error Detection: Analyzing the Past and Present for a More Coherent FutureJan-Christoph Klie, Bonnie Webber, Iryna Gurevych2023 · 73 citations
9. ArMIS - The Arabic Misogyny and Sexism Corpus with Annotator Subjective DisagreementsDina Almanea, Massimo Poesio2022 · 42 citations
10. Distributed NLI: Learning to Predict Human Opinion Distributions for Language ReasoningXiang Zhou, Yixin Nie, Mohit Bansal2022 · 35 citations

68 more papers of our library cite it; they have no page here yet.

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