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## Reference annotation evaluation
- Balanced accuracy was used to optimimize the hyperparameters of the reference annotation task.
- Note that the balanced accuracy is defined as an average of recall over all classes
- Two classification problems:
- 5 classes
- 2 classes
- Three variants for each of the problems:
- Random (prior knowledge) baseline
- TF-IDF for feature extraction, then all as normal
- Embeddings for feature extraction
- The respective folders contain results for the individual variants.
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