Multilingual Viewpoint Detection from news comments
Refereed conference paper presented and published in conference proceedings

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摘要In this paper, we investigate the task of Multilingual Viewpoint Detection (MVD) on multilingual news reader comments. To tackle the MVD task, we propose a new probabilistic graphical model called VDMC to discover latent common viewpoints from multilingual news reader comments. Our VDMC model can cope with the language gap and detect common multilingual viewpoints. To learn the model parameters, we incorporate bilingual constraints into the variational Expectation-Maximization (EM) method. Experimental results show that our VDMC model can resolve the MVD task effectively and outperform the state-of-the-art method.
著者Shi B., Wai L., Bing L., Xu Y.
會議名稱International Conference on Asian Language Processing, IALP 2015
會議開始日24.10.2015
會議完結日25.10.2015
會議地點Suzhou
會議國家/地區中國
詳細描述organized by IEEE Beijing Section, COLIPS, IEEE Computer Society and Soochow University ,
出版年份2016
月份4
日期12
頁次189 - 192
國際標準書號9781467395953
語言英式英語
關鍵詞graphical model, multilingual, news analysis

上次更新時間 2021-25-01 於 00:31