SMP 2016: Social Media Processing pp 257-266 | Cite as
News Events Elements Extraction Based on Undirected Graph
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 graphNotes
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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