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Structure of the NER model created by using the Bert vectors as contextualized embeddings (a) which are then fed into a bidirectional LSTM (BiLSTM). These contextual embeddings are supplemented by character embeddings in the variant (b). The shaded parts of the model were trained, while the unshaded parts were left frozen.
