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 论   文  作   者: Zhengtao Yu, Shengxiang Gao
 论   文  名   称: News Events Elements Extraction Based on Undirected Graph
 论文发表刊物: 5th National Conference on Social Media Processing, SMP 2016
 会   议  地   点:
 会   议  时   间:
 卷   号  页   码: 2016,669:257-266.
 论   文  描   述:
 收   录  情   况: EI Indexed   EI Accession number:EI:20164603019523 
  论   文  摘   要:
        Back to ToCNews 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.
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