The reference datasets are fed into the rule-based component so that the outputs represent the annotated datasets which are exploited in the feature extraction phase to generate the feature set data files in order to be utilized by the ML-based component.
mL-based NER systems take advantage of the mL algorithms in order to learn NE tagging decisions from annotated texts.