User:Ezubaric
Jordan Boyd-Graber | |
|---|---|
| Born | |
| Nationality | American |
| Occupation | Professor |
| Awards | Karen Spärck Jones Award (2016) NSF CAREER (2017) |
| Academic background | |
| Education | Princeton University (PhD, 2010) California Institute of Technology (BS, 2004) |
| Thesis | Linguistic Extensions of Topic Models (2010) |
| Doctoral advisor | David Blei |
| Academic work | |
| Discipline | Natural language processing |
| Sub-discipline | Question answering |
| Institutions | University of Colorado, Boulder University of Maryland, College Park |
| Website | http://boydgraber.org |
Jordan Boyd-Graber is a professor at the University of Maryland. Advised by David Blei, he received his PhD from Princeton University in 2010 with a thesis on adding linguistic insights to topic models.[1] He received the 2016 Karen Spärck Jones Award for his contributions to machine learning interpretability.[2]
He builds question answering systems and datasets, including public exhibition matches with systems that have defeated Ken Jennings[3] and top quiz bowl players.[4]