Paper Info
Title
The Chinese Vietnamese bilingual news event ranking method based on attribute association graph
Abstract
Facing with bilingual news event's attributes association about Chinese and Vietnamese, we propose a bilingual news event sequencing method based on graph of attributes association. This method built the graph of attributes association based on the relations between event properties and it sequences the Chinese and Vietnamese bilingual news event using this graph. This method first extracts the titles, elements, topic sentences which characterize bilingual news event properties. And it uses the extractions to describe events in the document. Then we translate these title, elements and topic sentences by using the bilingual dictionary and Vietnamese-Chinese Alignment Corpora. And we build the graph of attributes association. We calculate the weights of edges by using word2vec and elements co-occurrence strength. In the end, it sequences the bilingual news using similarity among event node, query keyword and connection between the graph's nodes and event. The experimental results show that the proposed method can effectively improve the performance of the ranking of the news events in the Chinese and Vietnamese, and the attribute relevance has a good effect on the ranking of the Chinese and Vietnamese news events.
Year
DOI
Venue
2017
10.1109/IALP.2017.8300616
2017 International Conference on Asian Language Processing (IALP)
Keywords
Field
DocType
attribute association graph,news events,ranking method
Graph,Ranking,Bilingual dictionary,Computer science,Artificial intelligence,Natural language processing,Vietnamese,Word2vec
Conference
ISSN
ISBN
Citations 
2159-1962
978-1-5386-1982-7
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Mingwei Zhu100.34
Zhengtao Yu246069.08
Guangshun Qin300.34
Hua Lai400.68
Shengxiang Gao555.17