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一种基于WordNet的短文本语义相似性算法 被引量：34

An Algorithm for Semantic Similarity of Short Text Based on WordNet
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摘要 短文本语义相似性计算在文献检索、信息抽取、文本挖掘等方面应用日益广泛.本文提出了一种短文本语义相似性计算算法ST-CW.此算法使用WordNet和Brown文集来计算文本中的概念相似性,在此基础上提出了一个新的方法综合考虑概念、句法等信息来计算短文本的语义相似性.在R&B及Miller数据集上进行实验,实验结果验证了算法的有效性. The algorithm for semantic similarity of short text is used widely in document retrieval,information extraction and text mining.An algorithm for semantic similarity of short text named ST-CW is presented.The algorithm calculates semantic similarity of concept based on WordNet and The Brown Corpus,and then a formula is presented which refers to both concept similarity and syntactic information in short text.The evaluations are conducted on RB and Miller dataset.
作者 翟延冬 王康平 张东娜 黄岚 周春光
机构地区 吉林大学计算机科学与技术学院 吉林大学符号计算与知识工程教育部重点实验室
出处 《电子学报》 EI CAS CSCD 北大核心 2012年第3期617-620,共4页 Acta Electronica Sinica
基金 国家自然科学基金项目资助(No.61175023 No.60903097)
关键词 短文本语义相似性 WORDNET 基于文集的方法 semantic similarity of short text WordNet corpus-based method
分类号 TP16 [自动化与计算机技术—控制理论与控制工程]
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参考文献15

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二级参考文献29

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电子学报
2012年 第3期

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