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Related Questions
- How do recurrent neural networks (RNNs) handle long-range dependencies in text data?
- What are the challenges of modeling long-range dependencies in text data, and how do recurrence-based models address these issues?
- Can you explain the concept of recurrence in the context of language models, and how it enables them to capture long-range dependencies?
- How do long short-term memory (LSTM) networks and gated recurrent units (GRUs) handle long-range dependencies in text data?
- What is the difference between recurrence-based models and convolutional neural networks (CNNs) in handling long-range dependencies in text data?
- Can you provide examples of real-world applications where recurrence-based models are used to handle long-range dependencies in text data?
- How do recurrence-based models learn to capture long-range dependencies in text data, and what are the key factors that influence this learning process?
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