Towards High-Quality Semantic Entity Detection over Online Forums

被引：0
|
作者：
Du, Juan [1 ]
Zhang, Weiming [1 ]
Cai, Peng [1 ]
Ma, Linling [1 ]
Qian, Weining [1 ]
Zhou, Aoying [1 ]
机构：
[1] E China Normal Univ, Inst Mass Comp, Inst Software Engn, Shanghai, Peoples R China
来源：
SOCIAL INFORMATICS | 2011年 / 6984卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
User-generated content (UGC) implies user-behaviors. Mining on such data helps understanding the relationship between social media and the real world. Howevr, UGC is usually of low quality, which results in the difficulty of semantic entity extraction. In this paper, we propose a method towards high-quality semantic entity refinement on forums by employing external resources. Experiments on real-life Chinese online forums show the effectiveness of our method.
引用
收藏
页码：287 / 291
页数：5
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