Introduces a new English dataset from r/AskParents and r/needadvice annotated for advice sentences plus preliminary models showing pre-trained LMs outperform rule-based systems but the task remains challenging.
Finding Patterns in Noisy Crowds: Regression-based Annotation Aggregation for Crowdsourced Data
3 Pith papers cite this work, alongside 15 external citations. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
Annotation disagreement on toxic language can be moderately predicted from textual features, with high-opposition items proving harder for models to estimate accurately.
Socio-Contrastive Learning jointly learns socio-demographic representations and textual features via contrastive objectives to predict annotator perspectives more accurately than concatenation baselines.
citing papers explorer
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Help! Need Advice on Identifying Advice
Introduces a new English dataset from r/AskParents and r/needadvice annotated for advice sentences plus preliminary models showing pre-trained LMs outperform rule-based systems but the task remains challenging.
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Quantifying and Predicting Disagreement in Graded Human Ratings
Annotation disagreement on toxic language can be moderately predicted from textual features, with high-opposition items proving harder for models to estimate accurately.
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Modeling Human Perspectives with Socio-Demographic Representations
Socio-Contrastive Learning jointly learns socio-demographic representations and textual features via contrastive objectives to predict annotator perspectives more accurately than concatenation baselines.