• The semantic relationships between multi-context key words are taken into account and the fuzzy similarity matrix is derived from non-distance computing in this method.

    方法不仅考虑了背景关键词之间语义关系,而且通过非距离计算得到模糊相似矩阵

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  • Computing the semantic similarity of sentences by the method of cosine, eigenvalue come from the skeleton semantic clip, and the semantics of sentence expressed the vector space model.

    骨架片做特征项,用空间向量模型表示文本语义,用语片出现频度做片权重,用余弦计算文本间语义相似度。

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  • All kinds of approaches to computing the semantic matching degree on IFS, including those of near compactness, semantic distance, similarity and compound conditions match, are discussed.

    讨论了计算直觉模糊集语义匹配若干途径包括贴近度、语义距离相似度复合条件匹配等。

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  • Documents similarity computing with attribute barycenter coordinate model is a relatively new method, but the semantic information easily loss and is inefficient.

    基于属性重心剖分模型一种较为新颖的文档相似度计算模型容易导致语义信息丢失效率低下。

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  • The traditional methods measure semantic similarity by computing semantic distance between nodes, which are difficult to ensure the accuracy of computation.

    传统语义相似计算方法大都利用结点的语义距离来衡量难以保证计算的准确性

    youdao

  • The traditional methods measure semantic similarity by computing semantic distance between nodes, which are difficult to ensure the accuracy of computation.

    传统语义相似计算方法大都利用结点的语义距离来衡量难以保证计算的准确性

    youdao

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