Research on Chinese Patent Infringement Detection Algorithm Based on Semantic Extended Vector Space Model

摘要：

　　As the core-competitiveness of enterprises,patent infringement litigation is becoming more frequent at present.Once companies are involved in patent infringement disputes,they usually spend a lot of time and energy to deal with it.In this paper,the Word2Vec word vector model is trained by some Chinese patent data samples and other Chinese corpus such as Wikipedia,and use this model to calculate the similarity between Chinese words.Then use traditional vector space model(VSM)and Word2Vec model to calculate the similarity of Chinese patent claims.Using similarity to determine whether a patent is infringed.This paper provides an effective method for the retrieval of patent infringement related personnel patent examiners and patent owners,etc.

关键词： Chinese patent patent infringement VSM Word2Vec

作者: Shuangyuan Zou Wenxi Zheng Min Wu

作者单位: Center of Modern Educational Technology,University of Science and Technology of China,Hefei 230026,China

会议类型: 国际会议

会议名称: 2019 2nd International Conference on Mechanical Engineering, Industrial Materials and Industrial Electronics (MEIMIE 2019)2019年第二届机械工程、工业材料和工业电子国际会议(Meimie 2019)

会议地点: 大连

会议语种:英文

页码: 241-247

在线出版日期: 2019-03-29（万方平台首次上网日期，不代表论文的发表时间）