基于双语主题和因子图模型的汉语-越南语双语事件关联分析

随着“一带一路”国家战略实施,我国与越南的交流与合作日益密切,及时掌握两国新闻事件动态意义重大。该文针对汉越双语新闻事件关联分析所面临的跨语言关联问题,研究汉越双语新闻事件关联分析方法。汉越双语新闻事件分析其实质是多语言多文本的理解问题。其主要难点是要解决多语言多文本下的新闻事件理解问题。该文提出了基于因子图模型的局部密切度传播算法。首先使用双语主题概率模型,从双语文档中获得双语主题及主题概率分布,然后基于新闻事件的文本相似度构建事件因子图模型,在因子图上对相互关联的事件使用局部密切度传播算法计算某一主题下所有相互关联的事件间的影响力。最后得到不同主题下事件间的影响力拓扑图。实验结果表明该方法相比相似度计算和词语共现的方法取得了不错效果。

Chinese-Vietnamese Bilingual Event Correlation Analysis Based on Bilingual Topic and Factor Graph

In view of the cross-lingual correlation analysis of Chinese and Vietnamese bilingual news events, this paper studies the correlation analysis method of Chinese and Vietnamese bilingual news events, which is essentially a kind of multi-lingual and multi - text understanding issue. In this paper, we propose a local intimacy propagation algorithm based on factor graph. Specifically, we use bilingual topic model to get the bilingual topics and topic probabilistic distributions from bilingual document. Then we build events’ factor graph based on event text similarity, calculating the influence between interrelated events on the factor graph under the same topic . by local intimacy propagation algorithm. Finally we get the influence topology of events under different topics. Experiments results show that the method we propose have achieved better result compared to the traditional method.