Jordan Boyd-Graber - UMD College of Information Studies
UMD College of Information Studies - Dr. Jordan Boyd-Graber and researchers at UMD are developing more than 1,200 AI stumping questions to build machines that truly understand human language and can interpret
Jordan Boyd-Graber (@boydgraber) / Twitter
Jordan Boyd-Graber: Media (Project)
Jordan Boyd-Graber: Home
Jordan Boyd-Graber to Present Papers on Helping AI Systems Sort Through Medical Data | UMD Department of Computer Science
Associate Professor Jordan Boyd-Graber to appear on Jeopardy on September 26th 2018 | UMD Department of Computer Science
Marine Carpuat on Twitter: "@xingniu @umdcs And thank you to all committee members: Jordan Boyd-Graber, Furong Huong, Philipp Koehn and Doug Oard." / Twitter
Jordan Boyd-Graber (@boydgraber) / Twitter
Nitin Madnani, Jordan Boyd-Graber, and Philip Resnik. Measuring Transitivity Using Untrained Anno- tators. Creating Speech and L
Jordan Boyd-Graber: Media (Project)
Jordan Boyd-Graber - CatalyzeX
Niklas Stoehr on LinkedIn: Jordan Boyd-Graber is visiting our NLP groups at ETH Zürich and the ETH AI…
J! Archive - Jordan Boyd-Graber Ying
Introduction to Computational Linguistics - YouTube
Jordan Boyd-Graber: Media (Project)
Word Embedding Evaluation - YouTube
Jordan Boyd-Graber (@boydgraber) / Twitter
Jordan Boyd-Graber | UMIACS
Jordan Boyd-Graber · SlidesLive
Jordan Boyd-Graber - YouTube
Jordan on Jeopardy! - YouTube
Jordan Boyd-Graber - YouTube
Quiz Bowl robot wins match with Jeopardy champ | Computer Science | University of Colorado Boulder
Jordan Boyd-Graber: Pubs (Year)
