Out-Of-Vocabulary Words Recognition Based on Conditional Random Field in Electronic Commerce

被引：0
|
作者：
Yang, Yanfeng [1 ]
Yang, Yanqin [1 ]
Guan, Hu [2 ]
Xu, Wenchao [1 ]
机构：
[1] East China Normal Univ, Sch Informat Sci Technol, 500 Dongchuan Rd, Shanghai 200241, Peoples R China
[2] TravelSky Technol Ltd, Shanghai 200241, Peoples R China
来源：
NEURAL INFORMATION PROCESSING (ICONIP 2014), PT II | 2014年 / 8835卷
基金：
中国国家自然科学基金;
关键词：
Electronic Commerce; Out-Of-Vocabulary Recognition; Conditional Random Fields;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Most previous researches on out-of-vocabulary words recognition are concentrating on traditional areas, while in electronic commerce area this recognition is rarely involved. In this paper, we focus on the out-of-vocabulary words recognition in the field of electronic commerce. Based on the unique characteristics of electronic commerce data, we introduce the Conditional Random Fields (CRFs) into the out-of-vocabulary words recognition, and use the electronic commerce text corpus for the experimental verification. The experimental results show that CRFs in the recognition of out-of-vocabulary words in the field of electronic commerce is effective.
引用
收藏
页码：532 / 539
页数：8
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