Named Entity Recognition in Vietnamese Text Using Label Propagation

被引：0

作者：

Huong Thanh Le ^{[1
]}

Rathany Chan Sam ^{[1
]}

Hoan Cong Nguyen ^{[1
]}

Thuy Thanh Nguyen ^{[2
]}

机构：

[1] Hanoi Univ Sci & Technol, Hanoi, Vietnam

[2] Univ Engn & Technol, Hanoi, Vietnam

来源：

2013 INTERNATIONAL CONFERENCE OF SOFT COMPUTING AND PATTERN RECOGNITION (SOCPAR) | 2013年

关键词：

Named entity recognition; labeled propagation; semisupervised learning; words similarity;

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：

This paper presents our named entity recognition system for Vietnamese text using labeled propagation. In here we propose: (i) a method of choosing noun phrases as the named entity candidates; (ii) a method to measure the word similarity; and (iii) a method of decreasing the effect of high frequency labels in labeled documents. Experimental results show that our labeled propagate method achieves higher accuracy than the old one [12]. In addition, when the number of the labeled data is small, its accuracy is higher than when using conditional random fields.

引用

页码：366 / 370

页数：5

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