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Related Questions
- How do you ensure that your NLP model is not influenced by prior knowledge or biases?
- What strategies can be employed to reduce the risk of misinterpretation of ambiguous language in NLP prompts?
- Can you explain the concept of 'prompt engineering' and its role in minimizing ambiguity in NLP models?
- How do you address the issue of polysemy in NLP, where words have multiple related meanings?
- What techniques can be used to make NLP models more context-aware to reduce ambiguity?
- Can you discuss the importance of clear and concise language in NLP prompts to minimize ambiguity?
- How can you utilize semantic role labeling to disambiguate entities in NLP tasks?
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