Semantic similarity computation is a key problem of information processing technology.
语义相似度计算是信息处理技术中的一个关键问题。
The paper proposes a model of concept semantic similarity computation based on thesaurus and semantic distance, and describes its computation process in detail.
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。
By analyzing two traditional semantic similarity computation methods and modifying the problems in them, this paper puts forward a compositive method based on ontology.
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。
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.
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。
The traditional methods measure semantic similarity by computing semantic distance between nodes, which are difficult to ensure the accuracy of computation.
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。
After modified appropriately, it could be used in most fields using the computation of sentence semantic similarity.
对其进行适当的改进后，可适于多数需要计算句子相似度的应用领域。
After modified appropriately, it could be used in most fields using the computation of sentence semantic similarity.
对其进行适当的改进后，可适于多数需要计算句子相似度的应用领域。
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