Comparing to other sentence similarity computing methods, our method can fully describe the features of the sentence, and then we can get the more accurate result.
该方法与其他方法相比，描述句子的信息更加全面，从而使句子相似度计算更加准确。
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.
用骨架语片做特征项，用空间向量模型表示文本语义，用语片的出现频度做语片权重，用余弦法计算文本间语义相似度。
Local similarity pattern is proposed as a new method for computing image similarity.
局部相似模板是一种计算图像相似度的新方法。
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.
该方法不仅考虑了多背景关键词之间的语义关系，而且通过非距离计算得到模糊相似矩阵。
According to the character of XML tree, a method for computing the similarity of XML structure and an algorithm of XML structure fusion are presented.
根据XML树形结构的特点，提出了XML结构相似度计算方法以及XML树结构融合算法。
Aiming at the characteristics of patent documents, this paper presents a computing method of sentence similarity based on pseudo-LCS.
针对专利文献专业术语相对较多、形式规范、语言严谨的特点，本文提出了一种基于伪lcs的句子相似度计算方法。
Documents similarity computing with attribute barycenter coordinate model is a relatively new method, but the semantic information easily loss and is inefficient.
基于属性的重心剖分模型是一种较为新颖的文档相似度计算模型，但容易导致语义信息丢失和效率低下。
Absrtact: word similarity computing is a crucial question in information processing technology. It mainly researches what kind of method to calculate or compare the similarity between two words.
摘要：词语相似度计算是信息处理技术中的一个关键问题，主要研究用什么样的方法来计算或比较两个词语的相似性。
The decomposed similar measure method based on the telecom product similarity computing model can forecast market conditions of new product more accurate than the tradition measure methods.
基于产品相似度计算模型的复杂对象分解的相似性度量方法比传统距离度量方法能更准确的预测新产品的市场情况。
The decomposed similar measure method based on the telecom product similarity computing model can forecast market conditions of new product more accurate than the tradition measure methods.
基于产品相似度计算模型的复杂对象分解的相似性度量方法比传统距离度量方法能更准确的预测新产品的市场情况。
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