Showing 21–40 of 42 results
/ Date/ Name
Sep 18, 2024ARTICLE: Annotator Reliability Through In-Context LearningJan 29, 2023Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is OffensiveJun 20, 2021Improving Label Quality by Jointly Modeling Items and AnnotatorsJan 30, 2019Twitter Job/Employment Corpus: A Dataset of Job-Related Discourse Built with Humans in the LoopAug 15, 2024Rater Cohesion and Quality from a Vicarious PerspectiveMar 31, 2021Domain-specific MT for Low-resource Languages: The case of Bambara-FrenchApr 9, 2026Learning Who Disagrees: Demographic Importance Weighting for Modeling Annotator Distributions with DiADEMDec 1, 2008Dichotomy Results for Fixed Point Counting in Boolean Dynamical SystemsMar 31, 2020Assessing Human Translations from French to Bambara for Machine Learning: a Pilot StudyMar 16, 2020Neighborhood-based Pooling for Population-level Label Distribution LearningNov 16, 2015Job-related discourse on social mediaFeb 13, 2005The Complexity of Computing the Size of an IntervalApr 2, 2025Subasa - Adapting Language Models for Low-resourced Offensive Language Detection in SinhalaFeb 13, 2025Hope vs. Hate: Understanding User Interactions with LGBTQ+ News Content in Mainstream US News Media through the Lens of Hope SpeechAug 11, 2025LPI-RIT at LeWiDi-2025: Improving Distributional Predictions via Metadata and Loss Reweighting with DisCoJun 20, 2023DICES Dataset: Diversity in Conversational AI Evaluation for SafetyJun 5, 2025ProRefine: Inference-Time Prompt Refinement with Textual FeedbackJul 7, 2023Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level LearningSep 8, 2021Cross-lingual Offensive Language Identification for Low Resource Languages: The Case of MarathiJan 30, 2017Learning from various labeling strategies for suicide-related messages on social media: An experimental study