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Found 4 papers, 3 papers with code
Corpus Considerations for Annotator Modeling and Scaling
We introduce a composite embedding approach and show distinct differences in which model performs best as a function of the agreement with a given dataset.
Unifying Data Perspectivism and Personalization: An Application to Social Norms
Instead of using a single ground truth for language processing tasks, several recent studies have examined how to represent and predict the labels of the set of annotators.
Understanding Interpersonal Conflict Types and their Impact on Perception Classification
Studies on interpersonal conflict have a long history and contain many suggestions for conflict typology.
Mitigating Toxic Degeneration with Empathetic Data: Exploring the Relationship Between Toxicity and Empathy
Large pre-trained neural language models have supported the effectiveness of many NLP tasks, yet are still prone to generating toxic language hindering the safety of their use.
