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Related Questions
- How does paraphrasing differ from other data augmentation techniques such as noise injection and back-translation?
- Can you provide examples of how paraphrasing is used in conjunction with noise injection to improve model performance?
- How does the addition of noise to a dataset through injection techniques affect the paraphrased output compared to back-translation?
- What are some applications of paraphrasing in NLP tasks such as question answering and sentiment analysis that involve data augmentation techniques like noise injection and back-translation?
- How does paraphrasing in conjunction with other data augmentation techniques impact model interpretability and explainability?
- What are the potential drawbacks or limitations of using paraphrasing in combination with noise injection and back-translation?
- Can you discuss how paraphrasing is used as a form of regularization when combined with noise injection in deep learning models?
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