9 Advanced Data Annotation and Augmentation
This chapter covers:
- Evaluating annotation quality for subjective tasks.
- Optimizing annotation quality control with machine learning.
- Treating model predictions as annotations.
- Combining embeddings/contextual representations with annotations.
- Using search and rule-based systems for data annotation.
- Bootstrapping models with Lightly-supervised Machine Learning.
- Expanding datasets with synthetic data, data creation, and data augmentation.
- Incorporating annotation information into machine learning models.