Context-Dependency Relation Extraction Based on Web Mining

被引：0
|
作者：
LiU, Jianzhou [1 ,2 ]
Xiao, Liang [2 ]
Shao, Xiongkai [2 ]
机构：
[1] Wuhan Univ, Sch Comp Sci, Wuhan, Peoples R China
[2] Hubei Univ Technol, Sch Comp Sci, Wuhan, Peoples R China
来源：
PROCEEDINGS OF 2016 SIXTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION & MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC 2016) | 2016年
关键词：
relation extraction; Web mining; relation feature words;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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.
引用
收藏
页码：117 / 120
页数：4
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