Research of auto-constructed implementation technology for information extraction patterns

Author

Azgli, W. ; De-zheng Zhang ; Huan-sheng Zhang ; Xiao-Li Li ; Xi-xuan Chen

Author_Institution

Sch. of Inf. Eng., Univ. of Sci. & Technol., Beijing

fYear

2008

fDate

25-27 June 2008

Firstpage

5371

Lastpage

5375

Abstract

According to the characteristics of traditional Chinese medicine clinical cases, in this paper, we propose an automatic generation algorithm of extraction patterns, GEPTCMA, which is based on bootstrapping. The algorithm includes two models: TCM-RPAM and TCMW-MODEL. TCM-RPAM is a method for the acquisition of bi relations and bi relation patterns; TCMW-MODEL is used for acquiring the sets of the domain keywords in the traditional Chinese medicine. Our experimental results show the precision/recall of data extraction using this system is as good as those from the templates based on structured information extraction. The domain experts in traditional Chinese medicine also give us an affirmation.

Keywords

information retrieval; medical computing; GEPTCMA; TCM-RPAM; TCMW-MODEL; auto-constructed implementation technology; automatic generation algorithm; bi relations; bootstrapping; information extraction patterns; traditional Chinese medicine clinical cases; Automation; Character generation; Data mining; Educational institutions; Hidden Markov models; Intelligent control; Pattern matching; Traditional Chinese Medicine; bi relations; extraction patterns; information extraction;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Conference_Location

Chongqing

Print_ISBN

978-1-4244-2113-8

Electronic_ISBN

978-1-4244-2114-5

Type

conf

DOI

10.1109/WCICA.2008.4593804

Filename

4593804