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Related Questions
- What are the key differences between word2vec and contextual word embeddings?
- Can you provide examples of words with multiple meanings and how contextual word embeddings help disambiguate them?
- How do contextual word embeddings capture nuances in word meanings and relationships?
- What are some applications of contextual word embeddings in natural language processing tasks?
- How do contextual word embeddings compare to traditional word embeddings in terms of performance and accuracy?
- Can you explain the concept of 'contextualization' in the context of word embeddings?
- How do contextual word embeddings handle out-of-vocabulary words and unknown entities?
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