Paper Info
Title
Relation Extraction Based on Composite Kernel Combining Pattern Similarity of Predicate-Argument Structure.
Abstract
Lots of valuable textual information is used to extract relations between named entities from literature. Composite kernel approach is proposed in this paper. The composite kernel approach calculates similarities based on the following information: (1) Phrase structure in convolution parse tree kernel that has shown encouraging results. (2) Predicate-argument structure patterns. In other words, the approach deals with syntactic structure as well as semantic structure using a reciprocal method. The proposed approach was evaluated using various types of test collections and it showed the better performance compared with those of previous approach using only information from syntactic structures. In addition, it showed the better performance than those of the state of the art approach.
Year
DOI
Venue
2011
10.1007/978-3-642-27210-3_35
Communications in Computer and Information Science
Field
DocType
Volume
Kernel (linear algebra),Parse tree,Pattern recognition,Computer science,Tree kernel,Phrase structure rules,Artificial intelligence,Predicate (grammar),Kernel method,Syntax,Relationship extraction
Conference
264
ISSN
Citations 
PageRank 
1865-0929
4
0.50
References 
Authors
16
6
Name
Order
Citations
PageRank
Hong-woo Chun116812.86
Chang-Hoo Jeong2287.64
Sa-Kwang Song38524.20
Yunsoo Choi4237.64
Sung-pil Choi57313.61
Won-Kyung Sung614519.93