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Related Questions
- Can you explain the concept of contextual information in NLP and its importance?
- What are the common challenges in incorporating contextual information into NLP models?
- How can word embeddings be leveraged to capture contextual information?
- What is the role of positional encoding in incorporating contextual information?
- Can you discuss the challenges in handling out-of-vocabulary words in contextual NLP models?
- How can attention mechanisms help in capturing contextual information?
- What are the trade-offs between using hand-engineered features versus using learned representations for contextual NLP tasks?
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