4月26日学术报告(周光有,华中师范大学)
类别：未知 发布人：admin 浏览次数： 次 发布时间：2016-04-22 11:04
报告题目：Transfer Learning for Cross-Lingual Sentiment Classification with Weakly Shared Deep Neural Networks
报告日期及时间：2016-04-26周二10:00-10:45
报告地点：计算机学院B403
报告人：周光有副教授
报告人单位：华中师范大学
摘要:
Cross-lingual sentiment classification aims to automatically predict sentiment polarity (e.g., positive or negative) of data in a label-scarce target language by exploiting labeled data from a label-rich language. The fundamental challenge of cross-lingual learning stems from a lack of overlap between the feature spaces of source language data and that of target language data. To address this challenge, previous studies have been performed to make use of the translated resources for sentiment classification in the target language, and the classification performance is far from satisfactory because of the language gap between the source language and the translated target language.
In this talk, I present a novel deep neural network structure, called Weakly Shared Deep Neural Networks (WSDNNs), to transfer the cross-lingual information from a source language to a target language. To share the sentiment labels between two languages, Ibuild multiple weakly shared layers of features. It allows to represent both shared inter-language features and language-specific ones, making this structure more flexible and powerful in capturing the feature representations of bilingual languages jointly. Iconduct a set of experiments with cross-lingual sentiment classification tasks on multilingual Amazon product reviews. The empirical results show that our proposed approach significantly outperforms the state-of-the-art methods for cross-lingual sentiment classification, especially when label data is scarce.
 
报告人简介：
Guangyou Zhou received his Ph.D. degree from National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (IACAS) in 2013. Currently, he worked as an Associate Professor at the School of Computer, Central China Normal University. His research interests include natural language processing and information retrieval. He has won the best paper award in COLING 2014 and NLPCC 2014. Now he has served several program committees of the major international conferences in the field of natural language processing and knowledge engineering, and also served as reviewers for several journals. In the past five years, he has published more than 30 papers in the leading journals and top conferences, such as ACM TWEB, ACM TIST, IEEE TKDE, IEEE TASLP, ACL, SIGIR, IJCAI, CIKM, COLING etc.
 
邀请人：刘进 教授
上一篇：4月22日计算机学科知名学者讲坛（周昆，浙江大学）
下一篇：5月4日计算机学院知名学者讲坛(AlexX. Liu，Michigan State University)