一、主讲人：张岳

二、时间：2018年5月24日（周四）14:30-16:30

三、地点：南校区教学楼G106室

四、主办单位：人事处、bc365

   承办单位：语言工程与计算实验室

五、讲座内容简介：

Deep Neural Network models have achieved strong effects in NLP Recently, the structured neural networks have been used to encode syntactic and semantic role structures. These adds to the representation power of linear structures for encoding sentences. On the other hand, recurrent structures have been less explored for encoding graph structures, which are seen in semantics tasks such as AMR. We investigate graph structure recurrent networks for sentence encoding and semantic embedding. In particular, a special state transition mechanism is design to handle cyclic structure in graphs. Results show that our network architecture can be useful for both sentence embedding and AMR structure encoding, giving highly strong accuracies.

六、主讲人简介：

Yue Zhang is currently an assistant professor at Singapore University of Technology and Design. Before joining SUTD in July 2012, he worked as a postdoctoral research associate in University of Cambridge, UK. Yue Zhang received his DPhil and MSc degrees from University of Oxford, UK, and his BEng degree from Tsinghua University, China. His research interests include natural language processing, machine learning and artificial Intelligence. He has been working on statistical parsing, parsing, text synthesis, machine translation, sentiment analysis and stock market analysis intensively. Yue Zhang serves as the reviewer for top journals such as Computational Linguistics, Transaction of Association of Computational Linguistics (standing review committee) and Journal of Artificial Intelligence Research. He is the associate editor for ACM Transactions on Asian and Low Resource Language Information Processing. He is also PC member for conferences such as ACL, COLING, EMNLP, NAACL, EACL, AAAI and IJCAI. He was the area chairs of COLING 2014/18, NAACL 2015, EMNLP 2015/17, ACL 2017/18. He is the TPC chair of IALP 2017.

七、报名方式：

请点击进入bc365报名系统http://ctdapply.gdufs.edu.cn/（首次登录，需进行简单的注册、认证手续，用户名及密码与数字广外一致。活动结束后，系统将在线生成电子版《继续教育证明》）。请有兴趣参加本次讲座的老师于5月24日（周四）11:30以前报名，如有疑问，请致电bc365，联系电话：36641382（短号：2382）。

 

 

 

人事处、bc365

语言工程与计算实验室

2018年5月15日