【CS224n】Lecture 12: Information from parts of words: Subword Models
1. Character-Level Models word embeddings可以由character embeddings組成，有以下好處： 生成未知詞的embeddings； 相似的單詞拼寫可以共享相似的embeddings； 能夠解決OOV問題（OOV=out of vocabulary，感覺第三點跟第一點有點像） 1.1. Purely character-level models 針
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相關文章
- 1. 【NLP CS224N筆記】Lecture 12 - Information from parts of words Subword Models
- 2. 【cs224n-10】Information from parts of words (Subword Models)
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