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Related Questions
- Can BERT and RoBERTa accurately understand the subtleties of metaphorical language, such as idiom and simile?
- Do language models like BERT and RoBERTa exhibit stronger performance on concrete language, which is typically used to describe tangible objects, rather than abstract concepts?
- Can these language models effectively disentangle metaphorical expressions from their literal meanings?
- How do the architectural differences between BERT and RoBERTa affect their performance on metaphorical versus concrete language?
- Are there any benchmarks or datasets specifically designed to test the ability of BERT and RoBERTa to process metaphorical and abstract language?
- Can we expect further advancements in pre-trained models to improve their ability to grasp abstract concepts and nuanced metaphors?
- What types of domain adaptation or fine-tuning might be needed to tailor these models to handle various specialized domains that involve distinct styles of language use, including metaphor and abstract expressions?
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