Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks (2024.naacl-long)
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| Challenge: | Existing approaches to label aggregation fail to capture subjective annotations and can lead to biases. |
| Approach: | They propose annotator-aware representations for text for subjective classification tasks that involve learning representations of annotators. |
| Outcome: | The proposed model improves on metrics that assess the performance on capturing individual annotators’ perspectives. |
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| Challenge: | Annotator disagreement is ubiquitous in natural language processing tasks. |
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