In order to simulate silver level annotations, the corpora were vectorized and annotated using a fiveparts iteration.
the corpus was split into five batches containing 20% of the corpus, a model was trained on the gold values of 80% of the corpus, recreating a new model to annotate the remaining 20%, and a different batch was swapped to be annotated each time.