Papers by Pritam Kadasi
Unveiling the Multi-Annotation Process: Examining the Influence of Annotation Quantity and Instance Difficulty on Model Performance (2023.findings-emnlp)
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| Challenge: | Existing studies have shown that multi-annotator datasets can improve performance when they expand from a single annotation per instance to multiple annotations. |
| Approach: | They propose a multi-annotator simulation process to generate datasets with varying annotation budgets and compare them to a single annotation per instance. |
| Outcome: | The proposed model can generate datasets with varying annotation budgets and show that similar datasets can lead to varying performance gains. |