Chinese Chunking Algorithm Based on Cascaded Conditional Random Fields

被引：0

作者：

Sun, Guang-Lu ^{[1
]}

Liu, Yuan-Chao ^{[2
]}

Qiao, Pei-Li ^{[1
]}

Lang, Fei ^{[3
]}

机构：

[1] Harbin Univ Sci & Technol, Sch Comp Sci & Technol, Harbin, Peoples R China

[2] Harbin Inst Technol, Sch Comp Sci & Technol, Harbin, Peoples R China

[3] Harbin Sci & Technol, Dept Foreign Languages Teaching, Harbin, Peoples R China

来源：

PROCEEDINGS OF THE 11TH JOINT CONFERENCE ON INFORMATION SCIENCES | 2008年

关键词：

Chinese chunking; part-of-speech tagging; cascaded conditional random fields;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper presents a new Chinese chunking algorithm based on cascaded conditional random fields. Conditional random fields solve the tagging problems well, while the cascaded models restrain the affection of part-of-speech errors. The experimental results show that this approach achieves impressive accuracy in terms of the F-score: 85.06%.

引用

页数：5

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