计算机应用研究2017，Vol.34Issue(10)：2901-2904,4.DOI:10.3969/j.issn.1001-3695.2017.10.005
基于三元组特征和词向量技术的中文专利侵权检测研究
Infringement detection of Chinese patent based on three tuple character and word embedding
摘要
Abstract
Because the expression ability of keywords features are weak and the structural features of the sentence are easy to cause the problem of noise interference,this paper proposed a method of improving Chinese patent infringement detection by extracting the three tuple features of the claim.This method extracted the patent claim as a set of three tuple,and calculated the similarity between the three tuple features by combining word embedding and HowNet,which could effectively improve the ability to identity the suspected patent infringement.Experimental results show that the proposed method has good detection results,and the accuracy is higher than other methods.关键词
专利侵权/信息抽取/词向量/相似度计算/文本处理Key words
patent infringement/information extraction/word embedding/similarity computation/text processing分类
信息技术与安全科学引用本文复制引用
金健,朱玉全,陈耿..基于三元组特征和词向量技术的中文专利侵权检测研究[J].计算机应用研究,2017,34(10):2901-2904,4.基金项目
国家自然科学基金资助项目(71271117) （71271117）
江苏省六大人才高峰项目(2013-WLW-005):江苏省自然科学基金资助项目(BK20150531) （2013-WLW-005）
