New Method of Character Relations Auto-Extraction

Author

Feng Yang ; Luo Sen-lin ; Pan Li-min ; Wang Yue ; Wang Yao-Wei

Author_Institution

Sch. of Inf. & Electron., Lab. of Inf. Security & Countermeasures Technol., Beijing Inst. of Technol., Beijing, China

fYear

2009

fDate

19-20 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

A new method of character relations auto-extraction from Chinese text set is proposed in this paper. In this method, characters and their relations are extracted from sentences and documents by computing the relative strength and attributive weight of relative properties. Each dispersed relation is organized and represented by the relative coefficient. For the purpose of exhibiting relations visually, the relations map, which describes characters and relative properties between them, could be constructed based on the coefficients. The experiment of relation extraction shows that the precision and recall of this method are 85.56% and 61.94%; the experiment of relations map shows that the precision and recall are 94.74% and 52.94% of level-1, 96.88% and 59.62% of level-2, respectively.

Keywords

natural language processing; text analysis; Chinese text set; attributive weight; character relations auto-extraction; relations map; relative strength; Data mining; Dispersion; Electronic countermeasures; Information processing; Information security; Pattern matching; Statistical analysis; Sun; Support vector machines; Web pages;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4994-1

Type

conf

DOI

10.1109/ICIECS.2009.5362605

Filename

5362605