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title: "数据增强 (Data Augmentation)"
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created: 2026-06-03
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updated: 2026-06-03
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type: concept
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tags: [data-augmentation, training, NLP]
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status: placeholder
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# 数据增强 (Data Augmentation)
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> ⚠️ 占位符页面 — 待完善
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数据增强是通过对原始数据施加变换来扩充训练数据的技术。在 NLP 领域包括同义词替换、回译、文本扰动等方法。
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在知识注入场景中分为两类:
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- [[knowledge-agnostic-augmentation|知识无关增强]]:不依赖外部知识的通用增强
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- [[knowledge-aware-augmentation|知识感知增强]]:利用领域知识的定向增强
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## 相关概念
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- [[knowledge-agnostic-augmentation|知识无关增强]]
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- [[knowledge-aware-augmentation|知识感知增强]]
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- [[kore-augmentation|KORE 增强]]
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