语义相似度计算是信息处理技术中的一个关键问题。
Semantic similarity computation is a key problem of information processing technology.
模板泛化时，引入词汇语义相似度计算和同义词扩展，提高模板覆盖率。
When generalizing patterns, semantic similarity of words and synonym extension are used to make the patterns more selective.
提出基于叙词表、基于距离的概念语义相似度计算方法，详细叙述其计算流程。
The paper proposes a model of concept semantic similarity computation based on thesaurus and semantic distance, and describes its computation process in detail.
传统的语义相似度计算方法大都利用结点间的语义距离来衡量，难以保证计算的准确性。
The traditional methods measure semantic similarity by computing semantic distance between nodes, which are difficult to ensure the accuracy of computation.
对模型在文献检索中的应用进行了初步探讨，包括两方面：导航浏览和基于语义相似度计算的条件查询。
Application of this model to document retrieval is discussed which includes two aspects: navigating browse and criteria query based on semantic similarity calculation.
该文分析和量化了影响本体语义相似度的各种因素，并提出了一种基于距离的概念语义相似度计算模型。
In this paper, factors that affect ontological semantic similarity are analyzed and quantified, and a distance-based semantic similarity calculation model for concepts is proposed.
通过实验证明，该方法在过滤噪声回复时有较高的准确率和正确率，而论坛词典能够有效提高语义相似度计算的准确性。
According to the characteristics of Web forum in vocabulary, the dictionary of forum is introduced into the similarity calculation to standard the vocabulary of Web forum.
通过分析两种传统的语义相似度计算方法，对它们存在的问题进行改进，提出了一种综合的基于本体的概念语义相似度计算方法。
By analyzing two traditional semantic similarity computation methods and modifying the problems in them, this paper puts forward a compositive method based on ontology.
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。
Documents similarity computing with attribute barycenter coordinate model is a relatively new method, but the semantic information easily loss and is inefficient.
该文提出了一个新的基于综合语义的可扩展标记语言文档相似度计算方法。
This paper proposes a new method for XML document similarity computation based on the synthetical features of XML documents.
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。
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.
利用语义网本体技术，探讨论文本体的构建和论文相似度的计算。
Semantic and ontology technology is utilized to discuss the build of paper ontology and calculation of paper similarity, which …
讨论了计算直觉模糊集语义匹配度的若干途径，包括贴近度、语义距离、相似度、复合条件的匹配等。
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.
提出了基于语义相似度和相关度的综合概念相似度计算方法。
This paper puts forward an integrated method based on semantic similarity and semantic relevancy.
基于OSSC的网页相似度计算更多地从语义角度考虑网页的深层信息，通过概念之间的相似度表征网页之间的相似度。
OSSC-based similarity calculation expresses the similarity between web pages in the form of similarity between concepts, it pays more attention to the semantic information of web pages.
因此本文提出一种基于概念的实例、概念的定义和概念的结构层次关系的综合语义相似度的计算模型。
So that an integrated approach based on instances, definition and hierarchy information of concepts is presented.
因现有基于语义距离的概念相似度计算方法未考虑语义不对称性和语义密度的影响，导致计算结果不够准确。
Because the influence of semantic asymmetry and semantic density has not been considered in current concept similarity computation based on semantic distance, the computation result is not accurate.
对用户的检索，进行查询词到主题词的转化，计算 语义相似度，按照 语义相似度算法进行排序文档。
Second, we make a conversion from users' query to the thesaurus, then calculate the semantic similarity in the thesaurus network.
改进编辑距离的算法与单纯基于语义辞典计算句子相似度的算法相比，具有便于扩展，准确率高等优点，在英文辅助写作领域取得了令人满意的效果。
The approach of improved edit-distance has more advantages than original edit-distance algorithm, such as easily extending, high precision and so on. It has gotten a satisfying result.
改进编辑距离的算法与单纯基于语义辞典计算句子相似度的算法相比，具有便于扩展，准确率高等优点，在英文辅助写作领域取得了令人满意的效果。
The approach of improved edit-distance has more advantages than original edit-distance algorithm, such as easily extending, high precision and so on. It has gotten a satisfying result.
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