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Related Questions
- Can transfer learning improve the robustness of a model to different annotator styles?
- How does transfer learning handle annotator variability in the source and target tasks?
- Can pre-training on a large dataset with diverse annotations reduce the impact of annotator variability?
- What are the potential limitations of using transfer learning to address annotator variability?
- Can transfer learning help adapt a model to a new task with a different annotation style?
- How does the choice of pre-training task and dataset impact the effectiveness of transfer learning in mitigating annotator variability?
- Can transfer learning be used to reduce the need for large amounts of annotated data in a new task?
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