Contact the current seminar organizer, Nanyun (Violet) Peng (npeng at isi dot edu), to schedule a talk.
Time: pm - pm Location: 11th Floor Large Conference Room  Abstract: Visual question answering (Visual QA) requires comprehending and reasoning with both visual and language information, a characteristic ability that AI should strive to achieve.
His earlier research includes work on probabilistic inference, structured prediction for video summarization, and face understanding.
Matt is also the co-host of the NLP Highlights podcast, where, with Waleed Ammar, he gets to interview the authors of interesting NLP papers about their work.
Prior to joining AI2, Matt earned a Ph D from Carnegie Mellon University, working with Tom Mitchell on the Never Ending Language Learning project.
He will be joining The Ohio State University as an assistant professor in 2019 Fall, following a one-year postdoc at Cornell University.
Time: pm - pm Location: 11th Floor Large Conference Room  Abstract: The path to natural language understanding goes through increasingly challenging question answering tasks.