named entity recognition using transformers

Named entity recognition using transformers refers to the application of transformer-based neural networks for identifying and classifying named entities, such as names of people, organizations, locations, dates, and more, in text data. It leverages the power of transformer models to extract and assign appropriate labels to entities, enabling efficient and accurate information extraction from unstructured text.

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