An Effective Resolution Method of Chinese Multi-category Words with Conditional Random Field in Electronic Commerce

被引：0

作者：

Fei, Fan ^{[1
]}

Yang, Yanqin ^{[1
]}

Xu, Wenchao ^{[1
]}

Yang, Yanfeng ^{[1
]}

机构：

[1] East China Normal Univ, Sch Informat Sci Technol, 500 Dongchuan Rd, Shanghai 200241, Peoples R China

来源：

NEURAL INFORMATION PROCESSING, PT II | 2015年 / 9490卷

关键词：

Electronic commerce; Chinese multi-category words; Conditional random field; MODEL;

D O I：

10.1007/978-3-319-26535-3_64

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Most existing recognition methods of multi-category words merely focus on the area of traditional Chinese words rather than the area of electronic commerce. In this paper, we propose an effective method on how to recognize Chinese multi-category words in electronic commerce using Conditional Random Field. Experimental results show that our method remarkably enhances the accuracy of the recognition, reduces the misunderstanding and improves the user experience of electronic commerce retrieval.

引用

页码：562 / 570

页数：9

共 20 条

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