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
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;
Conference_Titel :
Pattern Recognition, 2009. CCPR 2009. Chinese Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4199-0
DOI :
10.1109/CCPR.2009.5344025
