What is deep learning in natural language processing?
Deep learning in NLP refers to using neural networks to understand and generate human language.
How does it differ from traditional machine learning?
Unlike traditional methods, deep learning can automatically learn features from raw data, improving accuracy.
Can you give examples of deep learning models used in NLP?
Sure! Examples include BERT, GPT, and LSTM networks, which excel in tasks like translation and sentiment analysis.
What are the challenges of using deep learning in NLP?
Challenges include the need for large datasets, computational resources, and issues with interpretability.
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