I am an associate professor in the University of Maryland Computer Science Department (tenure home), Institute of Advanced Computer Studies, iSchool, and Language Science Center. Previously, I was an assistant professor at Colorado's Department of Computer Science (tenure granted in 2017). I was a graduate student at Princeton with David Blei.

My research focuses on making machine learning more useful, more interpretable, and able to learn and interact from humans. This helps users sift through decades of documents; discover when individuals lie, reframe, or change the topic in a conversation; or to compete against humans in games that are based in natural language.

• My One-page CV
• My Long (and ugly) CV
• My Google Scholar page

Recent Publications

• Julian Martin Eisenschlos, Bhuwan Dhingra, Jannis Bulian, Benjamin Börschinger, and Jordan Boyd-Graber. Fool Me Twice: Entailment from Wikipedia Gamification. North American Association of Computational Linguistics, 2021. [Preprint] [Bibtex]
  
  

  @inproceedings{Eisenschlos:Dhingra:Bulian:B\"orschinger:Boyd-Graber-2021,
  	Title = {Fool Me Twice: Entailment from Wikipedia Gamification},
  	Author = {Julian Martin Eisenschlos and Bhuwan Dhingra and Jannis Bulian and Benjamin B\"orschinger and Jordan Boyd-Graber},
  	Booktitle = {North American Association of Computational Linguistics},
  	Year = {2021},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2021_naacl_fm2.pdf},
  }
  

• Chen Zhao, Chenyan Xiong, Hal Daumé III, and Jordan Boyd-Graber. Complex Factoid Question Answering with a Free-Text Knowledge Graph. North American Association of Computational Linguistics, 2021. [Bibtex]
  
  

  @inproceedings{Zhao:Xiong:Daume-III:Boyd-Graber-2021,
  	Title = {Complex Factoid Question Answering with a Free-Text Knowledge Graph},
  	Author = {Chen Zhao and Chenyan Xiong and Hal {Daum\'{e} III} and Jordan Boyd-Graber},
  	Booktitle = {North American Association of Computational Linguistics},
  	Year = {2021},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2021_naacl_multi_ance.pdf},
  }
  

• Benjamin Börschinger, Jordan Boyd-Graber, Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Michelle Chen Huebscher, Wojciech Gajewski, Yannic Kilcher, Rodrigo Nogueira, and Lierni Sestorain Saralegu. Meta Answering for Machine Reading. ArXiv, Preprint. [Preprint] [Bibtex]
  
  

  @article{B\"orschinger:Boyd-Graber:Buck:Bulian:Ciaramita:Huebscher:Gajewski:Kilcher:Nogueira:Saralegu-Preprint,
  	Title = {Meta Answering for Machine Reading},
  	Author = {Benjamin B\"orschinger and Jordan Boyd-Graber and Christian Buck and Jannis Bulian and Massimiliano Ciaramita and Michelle Chen Huebscher and Wojciech Gajewski and Yannic Kilcher and Rodrigo Nogueira and Lierni Sestorain Saralegu},
  	Journal = {ArXiv},
  	Year = {Preprint},
  	Url = {https://arxiv.org/abs/1911.04156},
  }
  

• Pedro Rodriguez, Shi Feng, Mohit Iyyer, He He, and Jordan Boyd-Graber. Quizbowl: The Case for Incremental Question Answering. ArXiv, Preprint. [Webpage] [Bibtex]
  
  

  @article{Rodriguez:Feng:Iyyer:He:Boyd-Graber-Preprint,
  	Title = {Quizbowl: The Case for Incremental Question Answering},
  	Author = {Pedro Rodriguez and Shi Feng and Mohit Iyyer and He He and Jordan Boyd-Graber},
  	Journal = {ArXiv},
  	Year = {Preprint},
  	Url = {https://arxiv.org/abs/1904.04792},
  }