annotator bia

Blind Spots and Biases: Exploring the Role of Annotator Cognitive Biases in NLP NAACL 2024 Hateful Word in Context Classification EMNLP 2024 Intelligent Calibration for Bias Reduction in Sentiment Corpora Annotation Process AAAI 2024 Learning from Multiple Annotator Biased Labels in Multimodal Conversation Interspeech 2024 Order Effects in Annotation Tasks: Further Evidence of Annotation Sensitivity EACL 2024 Re-examining Sexism and Misogyny Classification with Annotator Attitudes EMNLP 2024 “Fifty Shades of Bias”: Normative Ratings of Gender Bias in GPT Generated English Text EMNLP 2023 The Treasure Beneath Multiple Annotations: An Uncertainty-Aware Edge Detector CVPR 2023 Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection NAACL 2022 Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED ACL 2022 The Effect of Arabic Dialect Familiarity on Data Annotation EMNLP 2022 Toward Annotator Group Bias in Crowdsourcing ACL 2022 Towards Equal Gender Representation in the Annotations of Toxic Language Detection ACL 2021 Identifying and Measuring Annotator Bias Based on Annotators’ Demographic Characteristics EMNLP 2020 Identifying Annotator Bias: A new IRT-based method for bias identification COLING 2020 Investigating Annotator Bias with a Graph-Based Approach EMNLP 2020 Natural Language Inference with Mixed Effects COLING 2020 Six Attributes of Unhealthy Conversations EMNLP 2020 Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets EMNLP 2019 Sequence Effects in Crowdsourced Annotations EMNLP 2017 False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking ICML 2016