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Related Questions
- What are the key differences between traditional machine learning and deep learning approaches in named entity recognition?
- How do deep learning architectures such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs) improve entity recognition accuracy?
- Can you explain the concept of entity normalization and its importance in natural language processing?
- How do machine learning algorithms handle out-of-vocabulary words and their impact on entity recognition accuracy?
- What role do pre-trained language models play in improving entity recognition and normalization performance?
- Can you discuss the challenges of entity normalization in low-resource languages and how machine learning can address them?
- How do ensemble methods and transfer learning techniques contribute to the improvement of entity recognition and normalization accuracy?
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