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Related Questions
- How do contextualized word embeddings improve the representation of words in language models?
- What are the key differences between static and contextualized word embeddings?
- Can you explain the role of self-supervised learning in generating contextualized word embeddings?
- How do contextualized word embeddings capture semantic relationships between words?
- What are some real-world applications of contextualized word embeddings in natural language processing?
- Can you describe the architecture of a typical language model that uses contextualized word embeddings?
- How do contextualized word embeddings enable a language model to better understand nuances of language and context?
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