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Related Questions
- What are the different types of word substitution techniques used in data augmentation?
- How does word substitution improve the robustness of language models to out-of-vocabulary words?
- Can you provide examples of word substitution in data augmentation and their impact on language model performance?
- What are the challenges associated with word substitution in data augmentation, and how can they be addressed?
- How does word substitution affect the quality of language models in terms of fluency and coherence?
- Can you explain the role of word substitution in improving language model performance on tasks such as named entity recognition and part-of-speech tagging?
- What are the limitations of word substitution in data augmentation, and are there any alternative techniques that can be used to improve language model performance?
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