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

页码：37 / 41

页数：5

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