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Related Questions
- Can you explain how neural networks use subword modeling or word embeddings to handle unknown words in contextual disambiguation?
- How do neural network architectures like BERT or RoBERTa handle out-of-vocabulary words in natural language processing tasks?
- What techniques are used by neural networks to adapt to unseen words during contextual disambiguation?
- In what ways do neural networks learn to represent unknown words in a contextualized manner?
- Can you discuss the impact of subword modeling on handling out-of-vocabulary words in neural network architectures?
- How do neural networks like ELMo or ULMFiT handle unknown words in language modeling tasks?
- What are some strategies for improving the robustness of neural network architectures to out-of-vocabulary words in contextual disambiguation?
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