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Related Questions
- What are contextualized embeddings and how are they different from traditional word embeddings?
- Can you provide an example of how contextualized embeddings can resolve entity disambiguation issues?
- How do contextualized embeddings capture the nuances of language and context that are relevant for entity disambiguation?
- In what ways do contextualized embeddings improve over traditional word embeddings in terms of entity recognition and disambiguation?
- Can you explain the role of attention mechanisms in contextualized embeddings for entity disambiguation?
- How do contextualized embeddings handle out-of-vocabulary words and their impact on entity disambiguation?
- What are some challenges and limitations of using contextualized embeddings for entity disambiguation, and how can they be addressed?
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