DocumentCode
2541577
Title
Research on Automatically Extraction of Term Relation Extraction
Author
Yu, Shui ; Bai, Yu ; Cai, Dongfeng ; Ji, Duo
Author_Institution
Knowledge Eng. Center, Shenyang Inst. of Aeronaut. Eng., Shenyang, China
fYear
2009
fDate
4-6 Nov. 2009
Firstpage
1
Lastpage
5
Abstract
Term relation extraction is the basis of automatically building the repository of terms. The current research about term relation extraction focuses on how to obtain effective characteristics of describing the relationship. This paper presents a novel method of feature extraction based on latent relation analysis, which automatically obtains the relation characteristics from patent corpus as the features of support vector machine. Experiments show that the F-score of this system yields 75%.
Keywords
feature extraction; support vector machines; F-score; feature extraction; latent relation analysis; patent corpus; support vector machine; term relation extraction; terms repository; Aerospace engineering; Feature extraction; Kernel; Knowledge engineering; Neural networks; Support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2009. CCPR 2009. Chinese Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4199-0
Type
conf
DOI
10.1109/CCPR.2009.5344025
Filename
5344025
Link To Document