一种基于本体的句子相似度计算方法

摘要

This paper proposed sentence similarity computing based on ontology. Using the relations between the ontology concepts and key words in the sentences to establish semantic index to extract the direct and indirect semantic relation, ontology based semantic vector was represented to calculate the semantic similarity between sentences, thus the sentence similarity computing method was proposed. This method is applied in the Microsoft Research Institute of paraphrase corpus (MSRP). Experiments show that compared with the related similarity computing methods, this method obtains good accuracy and recall rate in the incomplete additional information background.%提出了一种基于树结构本体的句子相似度计算方法.利用本体概念与句子中关键词之间建立的语义索引,构建句子与本体间的直接和间接语义联系,据此提取描述句子的语义向量,从而计算句子间的语义相似度.应用微软研究院的意译语料库(MSRP)对本方法进行了验证,结果表明:与相关的计算方法相比,本方法在不完备附加信息应用前提下获得了较好的准确率和召回率.