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Related Questions
- What is the difference between contextualized and non-contextualized word embeddings?
- How do contextualized word embeddings capture the nuances of word meanings in different contexts?
- Can you provide examples of language models that use contextualized word embeddings?
- How do contextualized word embeddings improve the performance of language models in tasks such as sentiment analysis and question answering?
- What are some of the challenges associated with training and fine-tuning contextualized word embeddings?
- How do contextualized word embeddings handle out-of-vocabulary words and rare word phenomena?
- Can you explain the concept of self-supervised learning in the context of contextualized word embeddings?
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