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Related Questions
- How do linguistic complexities like idioms, metaphors, and sarcasm affect the interpretability of NLP models?
- Can explainability techniques be used to account for the nuances of linguistic complexity in natural language processing?
- What are the challenges in applying explainability techniques to NLP models that handle complex linguistic structures, such as long-range dependencies and coreference resolution?
- How do linguistic complexities impact the performance of explainability techniques, such as feature importance and saliency maps, in NLP?
- Can explainability techniques be used to understand how NLP models handle figurative language, such as metaphors and hyperbole?
- How can linguistic complexity be taken into account when designing explainability techniques for NLP models?
- What are the implications of linguistic complexity on the interpretability of NLP models in real-world applications, such as chatbots and sentiment analysis?
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