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语义树 meaning in English

semantic tree

Examples

  1. Test result shows that compared with traditional similarity model of word frequency , the weighted semantic similarity model improves the precision obviously
    实验表明,本文提出的基于语义树的加权语义相似度模型与传统的词频相似度模型相比,准确率有明显提高。
  2. First , the question answering system calculates semantic similarity by using distance between words in semantic tree and the height of semantic tree , then this system uses semantic similarity between words and the weight of word to calculate semantic similarity between users ' questions and questions in answer database
    首先,利用语义树中词语间的距离和语义树的高度来计算词语间的语义相似度,然后利用词语间的语义相似度和词语的权重进一步计算用户问题与答案库中问题间的语义相似度。

Related Words

  1. 变换语义
  2. 语义消解
  3. 语义编码
  4. 合成语义
  5. 语义前提
  6. 语义错误
  7. 语义关系
  8. 语义信息
  9. 语义区别
  10. 形式语义
  11. 语义矢量空间模式
  12. 语义属性
  13. 语义数计
  14. 语义数据
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