DocumentCode
2100164
Title
The research of the entity relation extraction based on statistical model
Author
Zhang, Suxiang
Author_Institution
Department of Electronic and Communication Engineering of North China Electric Power University, 071003, Baoding, China
fYear
2010
fDate
4-6 Dec. 2010
Firstpage
1625
Lastpage
1628
Abstract
Entity relation extraction is the important research field in many languages processing, such as the knowledge management, semantic network, information retrieval and information extraction. In this paper, some specific entity relations can be extracted in the football match domain, firstly, the definition of the five types relation had been defined. Based on the conditional random fields, aiming to each relation type, the different features were discussed. The approach is effective when evaluated on the data set.
Keywords
Data mining; Feature extraction; Kernel; Machine learning; Semantics; Silicon; Training; Conditional Random Fields; Entity Relation Extraction; Evaluation; Information Extraction;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location
Hangzhou, China
Print_ISBN
978-1-4244-7616-9
Type
conf
DOI
10.1109/ICISE.2010.5689292
Filename
5689292
Link To Document