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How would you design an efficient algorithm for named entity recognition (NER) using deep learning techniques, and what specific challenges might you encounter?

To design an efficient NER algorithm using deep learning, I would employ a Bi-directional LSTM or a transformer-based model like BERT. Challenges include handling ambiguous entities, dealing with out-of-vocabulary words,…

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