参考

  1. paper: “Vector Semantics and Embeddin”

Words and Vectors

Words as vectors: word dimensions

term-term | word-word | term-context | co-occurrence matrix

  1. 参考共现矩阵
  2. 矩阵维度: |V|*|V|
    V是词汇表,即去重词汇表
  3. 有一个语料库。
  4. row words为targets, columns words 是代表上下文
  5. 先在语料库中找到所有以row words(每一个row words)为中心词的窗口,然后统计column words(每一个column words)在这些窗口中出现的次数

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