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Related Questions
- Can data augmentation techniques, such as back-translation and paraphrasing, help language models learn more generalizable representations of words?
- How does data augmentation impact the ability of language models to generalize to out-of-vocabulary (OOV) words?
- Can data augmentation be used to reduce the overfitting of language models to specific vocabulary and improve their performance on unseen words?
- What are some effective data augmentation strategies for improving the generalizability of language models to unseen words?
- Can data augmentation be used to improve the robustness of language models to domain shifts and unseen vocabulary?
- How does the type and amount of data augmentation impact the performance of language models on unseen words?
- Can data augmentation be used to improve the interpretability of language models and their ability to generalize to unseen words?
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