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Related Questions
- How do contextualized language models generate word embeddings, and what's the key difference with non-contextualized models?
- Can you explain the process of contextualized language modeling and how it handles unseen words?
- In what ways do contextualized language models outperform non-contextualized models when dealing with out-of-vocabulary words?
- How do contextualized language models use contextual information to disambiguate word meanings, especially for rare or novel words?
- Can you compare the performance of contextualized language models versus non-contextualized models on tasks that involve infrequent or unknown words?
- How do contextualized language models adapt to new words or domains that are not present in the training data?
- What are the implications of using contextualized language models for natural language processing tasks, especially when encountering out-of-vocabulary words?
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