SMP 2016: Social Media Processing pp 257-266 | Cite as

News Events Elements Extraction Based on Undirected Graph

  • Xian Li
  • Zhengtao Yu
  • Shengxiang Gao
  • Xudong Hong
  • Chunting Yan
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 669)

Abstract

News event elements extraction is a main task of information extraction. For news event correlation between sub-events, this paper proposes a kind of undirected graph model of news event element extraction merging associations of event elements. Firstly, splitting the news to multiple sub-event and extracting event elements. Then, the correlation between event elements and news events was analyzed, a undirected graph by extracting the correlation based on news event elements as node was established, and we transferred news event element extraction into a weighted undirected graph node calculation problem. At last, We conducted event elements extraction experiments. And comparing the experimental results show that the proposed method has good effect, correlation of sub-event can effectively improve the effect of extracting elements of news events.

Keywords

Information extraction Event elements extraction Undirected graph 

Notes

Acknowledgement

This paper is supported by the China National Nature Science Foundation (No. 61472168, 61672271, 61175068), and The Key Project of Yunnan Nature Science Foundation (No. 2013FA130). Corresponding author is Zhengtao Yu, his email is ztyu@hotmail.com.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2016

Authors and Affiliations

  • Xian Li
    • 1
  • Zhengtao Yu
    • 1
    • 2
  • Shengxiang Gao
    • 1
  • Xudong Hong
    • 1
  • Chunting Yan
    • 1
  1. 1.School of Information Engineering and AutomationKunming University of Science and TechnologyKunmingChina
  2. 2.School of Intelligent Information ProcessingComputer Technology Application Key Laboratory of Yunnan ProvinceKunmingChina

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