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https://www.youtube.com/embed/qs2aO8tTxNs >> So, it's my pleasure to introduce the Yejin Choi, who's an associate professor at the University of Washington and also a Senior Research Manager at AI, too. She's done a number of really interesting research projects over the years. It's always fun to watch what Yejin has been doing, including things about common sense knowledge or Language Generation and more recently about AI for Social Good.She has had a number of really impressive accolades including like the top ten to watch in 2015, from IEEE AI and recipient of the Marr prize in ICCV and also a member of the team that won the Alexa prize challenge in 2017, so lots of amazing things to watch for. So, well, that's probably enough. >> Okay. All right so, speaking of Alexa prize challenge, I will start by sharing brief experience with this. So, the goal of this challenge was…

https://www.youtube.com/embed/yp01hpk1g4A >> Wei-Cheng Chang is a PhD student at CMU, working on and showing, talking about the deep learning approach to XC text classification. >> Hello, everyone. This is Wei-Cheng Chang, currently a PhD student from LTI CMU. First, I would like to thank the workshop organizer inviting my adviser Yiming Yang to present this talk. However, due to some personal travelling issues, she cannot make it. So today I'm going to talk about the deep learning approach to extreme Multi-Label Classification.This is a joint work by Jingzhou, Yuexin, Yiming, and me. So this talk is divided in two volts. The first half, we focus on our SIGIR 2017 paper in earlier this year, which is about using deep learning architecture to extract richer feature representation for multi-label text classification. And the second half, we introduce some related work in deep structured learning paper in this ICML. They can also…

https://www.youtube.com/embed/bZMKhQSERA4 you welcome Chris it's my pleasure to welcome you to Microsoft Research where you'll be giving a distinguished a I seminar later today and for the audience chris is the Seibel professor of machine learning at Stanford University where he has an appointment in both linguistics computer science you had the Stanford AI lab and you've recently become a part of the Stanford human centered computing initiative the high effort you wear many hats and one of the things that I've loved it about your career is its focus on statistical NLP ranging from you know from work on parsing to grammar induction to lots of applications in information retrieval and machine translation and stuff you're amazingly well respected and successful you have more than a hundred thousand citations I think two very popular text books you're a fellow of the ACM the triple AI ACL is that right…