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Related Questions
- Can entity extraction models be trained on datasets with varying levels of granularity in entity annotation?
- How can models handle inconsistencies in entity annotation between different annotators?
- What techniques can be used to standardize entity annotation across different annotators?
- Can active learning be used to select a subset of annotations for model training, reducing the impact of annotator variability?
- How can entity extraction models be evaluated when different annotators use varying levels of granularity in entity annotation?
- Can transfer learning be used to adapt entity extraction models to different annotation styles or granularities?
- What role can human-in-the-loop approaches play in improving entity extraction models when dealing with annotator variability?
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