Context-Dependency Relation Extraction Based on Web Mining

摘要：

　　Entity relation extraction is the task of finding semantic relations between two entities from text.In this paper,we propose a novel Web-mining-based Chinese entity relation extraction approach.This approach explicitly defines and explores the Web mining process and relation feature words for entity relation extraction.The results of the research indicate this method is promising.

关键词： relation extraction Web mining relation feature words

作者: Jianzhou LIU Liang XIAO Xiongkai SHAO

作者单位: School of Computer Science, Wuhan University, Wuhan, China;School of Computer Science, Hubei Univers School of Computer Science, Hubei University of Technology, Wuhan, China

会议类型: 国际会议

会议名称: 2016 Sixth International Conference on Instrumentation and Measurement,Computer,Communication and Control (IMCCC2016)(第六届仪器测量、计算机通信与控制国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 117-120

在线出版日期: 2016-07-21（万方平台首次上网日期，不代表论文的发表时间）