Storybase: Towards Building a Knowledge Base for News Events

被引：0
|
作者：
Wu, Zhaohui [1 ]
Liang, Chen [2 ]
Giles, C. Lee [1 ,2 ]
机构：
[1] Penn State Univ, Comp Sci & Engn, University Pk, PA 16802 USA
[2] Penn State Univ, Informat Sci & Technol, University Pk, PA 16802 USA
来源：
PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (ACL-IJCNLP 2015): SYSTEM DEMONSTRATIONS | 2015年
基金：
美国国家科学基金会;
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：
To better organize and understand online news information, we propose Storybase(1), a knowledge base for news events that builds upon Wikipedia current events and daily Web news. It first constructs stories and their timelines based on Wikipedia current events and then detects and links daily news to enrich those Wikipedia stories with more comprehensive events. We encode events and develop efficient event clustering and chaining techniques in an event space. We demonstrate Storybase with a news events search engine that helps find historical and ongoing news stories and inspect their dynamic timelines.
引用
收藏
页码：133 / 138
页数：6
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