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Natural Language Processing: BERT

Discover how BERT advances natural language processing by using bidirectional training to understand context deeply. Learn how this model overcomes data limitations through pre-training and fine-tuning, enabling improved performance in tasks like sentiment analysis and question answering.

BERT

One of the biggest challenges in NLP is the lack of enough training data. Overall there is an enormous amount of text data available, but if we want to create task-specific datasets, we need to split that pile into very many diverse fields. When we do this, we end up with only a few thousand or a ...