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Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations WACV 2025 Multi-Instance Multi-Label Classification from Crowdsourced Labels AAAI 2025 Revisiting Active Learning under (Human) Label Variation EMNLP 2025 SubRegWeigh: Effective and Efficient Annotation Weighing with Subword Regularization COLING 2025 CLEANANERCorp: Identifying and Correcting Incorrect Labels in the ANERcorp Dataset COLING 2024 Different Tastes of Entities: Investigating Human Label Variation in Named Entity Annotations EACL 2024 Linguistically Conditioned Semantic Textual Similarity ACL 2024 NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition EMNLP 2024 The State of Relation Extraction Data Quality: Is Bigger Always Better? ACL 2024 Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models ICLR 2024 VariErr NLI: Separating Annotation Error from Human Label Variation ACL 2024 An Analysis of the Impact of Annotation Errors on the Accuracy of Deep Learning for Cell Segmentation MIDL 2022 Improving Named Entity Recognition in Telephone Conversations via Effective Active Learning with Human in the Loop EMNLP 2022 Outlier-Aware Training for Improving Group Accuracy Disparities AACL 2022 Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? ACL 2021 Representation Problems in Linguistic Annotations: Ambiguity, Variation, Uncertainty, Error and Bias COLING 2020 TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task ACL 2020 CrossWeigh: Training Named Entity Tagger from Imperfect Annotations EMNLP 2019 Rationally Reappraising ATIS-based Dialogue Systems ACL 2019 Detecting annotation noise in automatically labelled data ACL 2017 Building a Bird Recognition App and Large Scale Dataset With Citizen Scientists: The Fine Print in Fine-Grained Dataset Collection CVPR 2015