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Related Questions
- What are the primary sources of ambiguity and uncertainty in natural language for AI models?
- How do AI models handle homophones, homographs, and other linguistic ambiguities?
- Can you explain the concept of semantic ambiguity and its impact on AI model performance?
- How do AI models deal with uncertain or missing context in natural language inputs?
- What are some common techniques used to address uncertainty in natural language processing?
- Can you discuss the role of linguistic features, such as syntax and semantics, in mitigating ambiguity in AI models?
- What is the relationship between ambiguity, uncertainty, and the accuracy of AI model predictions?
- How do AI models handle idioms, colloquialisms, and other figurative language that can be ambiguous or uncertain?
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