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How To Get Started With Natural Language Question Answering Technology We used a BERT-based encoder to generate representations for tokens in the input text as shown in Fig. The generated representations were used as inputs to a linear layer connected to a softmax non-linearity that predicted the probability of the entity type of each token.
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