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Related Questions
- How do statistical approaches handle nuances in figurative language such as idioms, metaphors, and sarcasm?
- What are the challenges in training statistical models to recognize figurative language in different contexts and domains?
- Can statistical approaches capture the subtleties of figurative language used in humor, irony, and other forms of creative expression?
- How do statistical models handle out-of-vocabulary words and phrases that may be used in figurative language?
- What are the limitations of using machine learning algorithms to recognize figurative language, particularly in cases where the training data is limited or biased?
- Can statistical approaches differentiate between literal and figurative language, particularly in cases where the context is ambiguous?
- What are the implications of using statistical approaches to recognize figurative language in natural language processing applications, such as chatbots and sentiment analysis?
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