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Related Questions
- How do contextualized embeddings capture the nuances of word meaning and context?
- Can you explain how contextualized embeddings help alleviate the word embedding mismatch problem?
- What are some common applications of contextualized embeddings in natural language processing tasks?
- How do contextualized embeddings improve the performance of text classification models?
- What are some challenges associated with training and fine-tuning contextualized embeddings?
- Can you describe how contextualized embeddings are used in machine translation and summarization tasks?
- How do contextualized embeddings capture the nuances of idiomatic expressions and figurative language?
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