Speakers
Stanford University, lmthang@stanford.edu, @lmthang
Thang Luong has just completed his 5-year PhD, thanks to his advisor, Prof. Christopher Manning in the Stanford NLP group. He will be starting as a research scientist at Google Brain this September. In the past, he has published papers on various areas such as digital library, machine translation, speech recognition, parsing, psycholinguistics, and word embedding learning. Recently, his main interest shifts towards the area of deep learning using sequence to sequence models to tackle NLP problems, especially neural machine translation. He has built state-of-the-art (academically) neural machine translation systems both at Google and at Stanford.
Courant Institute of Mathematical Sciences and Center for Data Sciences, New York University
kyunghyun.cho@nyu.edu, @kchonyc
Kyunghyun Cho is an assistant professor in the Department of Computer Science and the Center for Data Science at New York University. He has worked in deep learning for natural language processing, language translation, image captioning, and a variety of other subjects including the core methods of deep learning. He completed a post-doctoral fellowship at the Montreal Institute for Learning Algorithms. He earned a Ph.D and an M.Sc (with distinction) from the Aalto University School of Science.
Stanford University, manning@stanford.edu, @chrmanning
Christopher Manning is a professor of computer science and linguistics at Stanford University. He works on software that can intelligently process, understand, and generate human language material. He is a leader in applying Deep Learning to Natural Language Processing, including exploring Tree Recursive Neural Networks, sentiment analysis, neural network dependency parsing, the GloVe model of word vectors, neural machine translation, and deep language understanding. Manning is an ACM Fellow, a AAAI Fellow, and an ACL Fellow, and has coauthored leading textbooks on statistical natural language processing and information retrieval. He is a member of the Stanford NLP group (@stanfordnlp).
