【CS224n】Lecture 12: Information from parts of words: Subword Models
1. Character-Level Models word embeddings可以由character embeddings组成，有以下好处： 生成未知词的embeddings； 相似的单词拼写可以共享相似的embeddings； 能够解决OOV问题（OOV=out of vocabulary，感觉第三点跟第一点有点像） 1.1. Purely character-level models 针
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相关文章
- 1. 【NLP CS224N笔记】Lecture 12 - Information from parts of words Subword Models
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