Papers by Kashyap Coimbatore Murali
Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree (2024.emnlp-main)
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| Challenge: | Disagreement among annotators can reveal nuances in subjective tasks that lack a simple ground truth . |
| Approach: | They propose three approaches to predict annotator ratings on the toxicity of text . they integrate annotators' history, demographics, survey information into their models . |
| Outcome: | The proposed approach outperforms other methods in toxicity rating prediction. |