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Related Questions
- What are the key differences between CNN and RNN architectures in entity categorization tasks?
- Can you explain how the use of word embeddings (e.g. Word2Vec, GloVe) impacts feature learning in entity categorization?
- How do transformer-based architectures (e.g. BERT, RoBERTa) improve feature learning in entity categorization tasks?
- What is the role of attention mechanisms in feature learning for entity categorization?
- Can you discuss the trade-offs between using pre-trained language models and fine-tuning them for entity categorization tasks?
- How do convolutional neural networks (CNNs) learn spatial hierarchies of features for entity categorization?
- What are some common techniques for handling out-of-vocabulary words in entity categorization tasks?
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