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Related Questions
- What is the difference between contextual embedding and traditional word embeddings?
- Can you provide examples of how contextual embedding is used in natural language processing?
- How does contextual embedding handle out-of-vocabulary words?
- What are some of the applications of contextual embedding in sentiment analysis?
- How does contextual embedding compare to other word representation methods, such as word2vec and GloVe?
- Can you explain the concept of attention in the context of contextual embedding?
- What are some of the challenges and limitations of using contextual embedding in real-world applications?
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