Papers with density-based clustering method
Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning (2023.acl-long)
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| Challenge: | Annotator disagreements are resolved before learning takes place, but researchers question the performance of a system when annotators disagree. |
| Approach: | They propose a method that uses language features and label distributions to pool similar items into larger labels. |
| Outcome: | The proposed method is based on five publicly available datasets with varying levels of disagreements on social media and in the wild using a dataset from Facebook. |