Instruction: Describe what RNNs are and how they are used for processing sequential data in NLP.
Context: This question is designed to evaluate the candidate's understanding of neural network architectures that are particularly suited for NLP tasks.
Official answer available
Preview the opening of the answer, then unlock the full walkthrough.
The way I'd explain it in an interview is this: RNNs were used in NLP because they process sequences one step at a time and maintain a hidden state, which lets them model dependencies across tokens. They were important in language modeling, tagging,...