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Related Questions
- How do non-contextual models struggle with idiomatic expressions due to their fixed vocabulary?
- What are some common pitfalls that non-contextual models face when encountering idioms in text data?
- Can non-contextual models accurately infer the meaning of idioms in a sentence, or do they often rely on literal interpretations?
- How do non-contextual models handle ambiguity in idiomatic expressions, and what are the consequences of misinterpretation?
- In what ways do non-contextual models' fixed word embeddings hinder their ability to understand idiomatic expressions?
- Can non-contextual models learn to recognize idiomatic expressions through training on large datasets, or are they inherently limited?
- What role does out-of-vocabulary (OOV) words play in non-contextual models' ability to process idiomatic expressions, and how can they be mitigated?
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