Kernel methods and its application in Relation Extraction
Xiaofeng Zhang, Zhiqiang Gao, Man Zhu · 2011
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.