The relationship between the PTDL curves in the exclusive evaluation shows that CNN-BiLSTM is actually the optimal tagging architecture for a brief window, overtaking CRF around 30K tokens and staying in front of BiLSTM-CRF until about 125K tokens.
active Learning active learning seeks to maximize the performance of a model while minimizing the manual annotation required to train it.