What do Machines Know? feat. Fabio Petroni | Stanford MLSys Seminar Episode 16

Episode 16 of the Stanford MLSys Seminar Series! Assessing Machine Knowledge Speaker: Fabio Petroni Abstract: In the talk I will review a set of general approaches for representing large scale textual knowledge sources that are useful for multiple downstream tasks. I will present benchmarking tools spanning multiple domains (including Question Answering, Entity Linking and Dialogue) and I will describe the latest knowledge-intensive NLP models with a focus on their efficiency. Speaker bio: Fabio is a Research Engineer in the Facebook Artificial Intelligence Research (FAIR) lab in London. His research focuses on Natural Language Processing, in particular, Information Extraction, Question Answering and Knowledge Representation. Prior to joining Facebook, he was with the R&D department of Thomson Reuters and received a PhD degree from Sapienza University of Rome. -- The Stanford MLSys Seminar is hosted by Dan Fu, Karan Goel, Fiodar Kazhamiaka, and Piero Molino,