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Named Entity Recognition

Explore the process of fine-tuning a pre-trained BERT model for named entity recognition tasks. Learn how to preprocess text data, tokenize sentences with special tokens, generate token representations, and classify entities into predefined categories using a classifier network.

In NER, our goal is to classify named entities into predefined categories. For instance, consider the sentence 'Jeremy lives in Paris'. In this sentence, ...