Important Events Extraction Based on Event Co-occurrence Network Text Representation Method

被引：0
|
作者：
Liao, Tao [1 ]
Xuan, Xiaoxing [1 ]
Liu, Zongtian [2 ]
Zhang, Xujie [2 ]
机构：
[1] Anhui Univ Sci & Technol, Sch Comp Sci & Engn, Huainan, Peoples R China
[2] Shanghai Univ, Sch Comp Engn & Sci, Shanghai, Peoples R China
来源：
PROCEEDINGS OF 2014 IEEE INTERNATIONAL CONFERENCE ON PROGRESS IN INFORMATICS AND COMPUTING (PIC) | 2014年
关键词：
Text representation; Graph structure; Event annotation; Event co-occurrence network; Event extraction;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Cognitive scientists believe that humans memorize and understand the real world through "event". A large number of narrative class texts contain various events and people can extract important events from the texts to support various event-based information processing. In this paper, we firstly research event annotation and build the Chinese Emergency Corpus. Then, we consider the event as a basic semantic unit for narrative texts and present a new event co-occurrence network text representation method. Finally, we study important events extraction based on this event co-occurrence network. The experimental results show that our important event extraction method has good performance.
引用
收藏
页码：37 / 41
页数：5
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