讲座题目：Two Neural Models For Constituent Parsing

讲座时间：2018年5月22日 14:30-16:30

讲座地点：华体会体 主楼南配楼304会议室

讲座简介：

我将讨论我们最近构建的两个组件解析器，它们取得了目前最先进的精确度。第一个模型是神经分析器和统计分析器的组合，提供了快速和高精确度。第二种是单独的神经分析器，它可以给标准数据提供最好的结果。

I will talk about two constituent parsers that we recently built, which achieve state-of-the-art accuracies. The first model is a combination of neural and statistical parsers, giving fast speeds and high accuracies. The second is a sole neural parser which gives the best results on standard data.

主讲人：张岳

张岳博士，现任新加坡科技设计大学助理教授。张岳博士获清华大学计算机科学与技术学士学位，牛津大学计算机科学硕士和哲学博士学位。2012年加入新加坡科技设计大学之前，曾在英国剑桥大学担任博士后研究员。张岳博士对自然语言处理、机器学习和人工智能都有浓厚的兴趣，主要从事统计句法分析、句法分析、文本生成、机器翻译、情感分析和股票市场分析的研究。张岳博士目前担任CL、TACL、JAIR等顶级期刊的审稿人以及ACM TALLIP期刊副主编等职位，同时也是ACL、COLING、EMNLP、 NAACL、EACL、AAAI and IJCAI等顶级会议的程序委员，以及COLING 2014、NAACL 2015、EMNLP 2015、EMNLP 2017、ACL 2017、COLING 2018 和 ACL 2018的领域主席和IALP 2017的程序委员会主席。

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. YueZhang serves as the reviewer for top journals such as Computational Linguistics, Transaction of Association of Computational Linguistics (standing reviewcommittee) 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.