Papers by Rediet Abebe
When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks (2023.emnlp-main)
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| Challenge: | a number of studies have questioned assumptions of majority vote aggregated labels. |
| Approach: | They construct a model that predicts individual annotator ratings on potentially offensive text and combines this information with the predicted target group of the text to predict the ratings of target group members. |
| Outcome: | The proposed model raises performance over baseline by 22% and 33% at predicting variance among annotators. |