| 一种基于HowNet的词语语义相似度计算方法 |
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| 引用本文： | 范弘屹,张仰森. 一种基于HowNet的词语语义相似度计算方法[J]. 北京机械工业学院学报, 2014, 0(4): 42-45 |
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| 作者姓名： | 范弘屹 张仰森 |
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| 作者单位： | 北京信息科技大学计算机学院,北京100192 |
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| 基金项目： | 国家自然科学基金资助项目（61370139）;北京市属高等学校创新团队建设与教师职业发展计划项目（IDHT20130519）;北京市教委专项（PXM2013-014224_000042,PXM2014_014224_000067） |
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| 摘 要： | 目前基于How Net的词语语义相似度计算多是根据上下位关系计算语义距离的方法,其结果与人的主观认识存在差异。提出了一种词语语义相似度计算的改进方法,在原有方法基础上,同时考虑影响词语相似度的多种因素,如How Net中义原的深度和密度等,进而挖掘义原间关系,改进原有计算方法。实验结果表明,利用所提出的改进方法计算的词语语义相似度更加贴合人的主观认识。
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| 关 键 词： | HowNet 词语语义相似度 深度 密度 |
Computing method for semantic similarity of words based on HowNet |
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| FAN Hong-yi,ZHANG Yang-sen. Computing method for semantic similarity of words based on HowNet[J]. Journal of Beijing Institute of Machinery, 2014, 0(4): 42-45 |
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| Authors: | FAN Hong-yi ZHANG Yang-sen |
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| Affiliation: | (School of Computer, Beijing Information Science and Technology University , Beijing 100192, China) |
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| Abstract: | At present, most computing methods of the semantic similarity based on HowNet use the hypernym-hyponym relationship to calculate the semantic distance between words, the results of which are different from people＇s subjective cognition. This paper attempts to recommend a new way, which will consider many factors affecting word similarity computing, such as sememe ＂ depth＂ and ＂ density＂ in HowNet, to improve the method of calculating word similarity through mining and analyzing the relations between sememes. The experiment results show that the semantic similarity of words computed by the proposed way is more consistent with people＇s subjective cognition. |
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| Keywords: | HowNet semantic similarity of words smeme depth sememe density |
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