Title :
Kernel methods and its application in Relation Extraction
Author :
Zhang, Xiaofeng ; Gao, Zhiqiang ; Zhu, Man
Author_Institution :
Sch. of Comput. Sci. & Eng., Southeast Univ., Nanjing, China
Abstract :
Relation extraction aims at discovering relations between entities from free text, and it is a crucial part of information extraction. Recently, kernel methods have seen successfully applied in relation extraction. In this paper, various kernel methods in relation extraction from free text are discussed, including syntactic parsing, kernel functions, as well as their training algorithms. Major difficulties and future research directions are concluded.
Keywords :
information retrieval; text analysis; free text; information extraction; kernel functions; relation extraction; syntactic parsing; Convolution; Data mining; Feature extraction; Kernel; Machine learning; Semantics; Syntactics; Kernel Method; Relation Extraction;
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
DOI :
10.1109/CSSS.2011.5972181
