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Related Questions
- How do non-contextual models struggle to capture nuances of idiomatic expressions through solely statistical patterns in a dataset?
- In what ways do non-contextual models fall short in representing idiomatic expressions that rely on shared knowledge or cultural background?
- Can you explain the challenges non-contextual models face when attempting to learn idiomatic expressions through large datasets without contextual understanding?
- How do non-contextual models handle out-of-distribution or unfamiliar idiomatic expressions that are not present in the training data?
- What are the implications of using non-contextual models for tasks that require understanding idiomatic expressions in real-world scenarios?
- Can non-contextual models be fine-tuned to improve their ability to represent idiomatic expressions, or are they fundamentally limited?
- How do non-contextual models compare to contextual models in terms of their ability to learn and represent idiomatic expressions through dataset size alone?
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