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Related Questions
- How do non-contextual models distinguish between literal and idiomatic language?
- What role does dataset diversity play in non-contextual models' ability to generalize idiomatic expressions?
- Can non-contextual models learn idiomatic expressions with varying degrees of nuance?
- What impact does an increase in dataset size have on the model's precision in recognizing idiomatic phrases?
- Does a larger dataset improve a non-contextual model's ability to generalize idiomatic expressions across domains?
- Can non-contextual models with larger datasets better handle polysemy and ambiguity in idiomatic expressions?
- What are the limitations of non-contextual models when it comes to learning and representing idiomatic expressions through dataset size alone?
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