conftrace_

annotator modeling

22 papers

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Co-occurring keywords

label aggregation (61) text classification (6793) annotator disagreement (65) soft label (94) label noise (498) noisy label learning (163) human label variation (12) annotation aggregation (15) crowdsourcing annotation (18) bert fine-tuning (79)

Papers

Task Assignment meets Annotator Modeling: Human-LLM Collaborative Annotation with Constraints ACL 2026
Reciprocal Teaching: Dynamic Multi-Model Teacher-Student Learning for Multiple Noisy Annotations WACV 2026
Examining the Utility of Self-disclosure Types for Modeling Annotators of Social Norms EACL 2026
NLP-ResTeam at LeWiDi-2025:Performance Shifts in Perspective Aware Models based on Evaluation Metrics EMNLP 2025
McMaster at LeWiDi-2025: Demographic-Aware RoBERTa EMNLP 2025
Corpus Considerations for Annotator Modeling and Scaling NAACL 2024
Coupled Confusion Correction: Learning from Crowds with Sparse Annotations AAAI 2024
Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree EMNLP 2024
Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks NAACL 2024
The Whole Is Bigger Than the Sum of Its Parts: Modeling Individual Annotators to Capture Emotional Variability INTERSPEECH 2024
The Ecological Fallacy in Annotation: Modeling Human Label Variation goes beyond Sociodemographics ACL 2023
SafeWebUH at SemEval-2023 Task 11: Learning Annotator Disagreement in Derogatory Text: Comparison of Direct Training vs Aggregation SEMEVAL 2023
SafeWebUH at SemEval-2023 Task 11: Learning Annotator Disagreement in Derogatory Text: Comparison of Direct Training vs Aggregation ACL 2023
University at Buffalo at SemEval-2023 Task 11: MASDA–Modelling Annotator Sensibilities through DisAggregation ACL 2023
Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It’s Best to Relate Perspectives! EMNLP 2023
Unifying Data Perspectivism and Personalization: An Application to Social Norms EMNLP 2022
Identifying Chinese Opinion Expressions with Extremely-Noisy Crowdsourcing Annotations ACL 2022
Learning from Crowds by Modeling Common Confusions AAAI 2021
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms NIPS 2019
An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators INTERSPEECH 2016
Crowdclustering NIPS 2011
The Multidimensional Wisdom of Crowds NIPS 2010