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 machine learning, deep learning automatically extracts features from raw data, improving accuracy.
Can you give me examples of deep learning models used in NLP?
Sure! Examples include BERT, GPT, and LSTM networks, which are used for tasks like translation and sentiment analysis.
What are the challenges faced in deep learning for NLP?
Challenges include data scarcity, model interpretability, and the need for large computational resources.
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