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Related Questions
- How do linguistic nuances and context influence the accuracy of NLP models?
- What are the implications of ambiguity in human language on the interpretability of NLP outputs?
- Can you explain how NLP systems handle idioms and figurative language?
- How do NLP models account for domain-specific terminology and specialized vocabulary?
- What are the challenges of dealing with sarcasm and implied meaning in NLP systems?
- How do contextual factors like tone, sentiment, and emotion impact NLP model performance?
- What techniques can be employed to improve the robustness of NLP models against ambiguity and context-dependent errors?
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