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
• Research Statement
• Teaching Statement
• Diversity Statement
• Service Statement
• My Google Scholar page

Recent Publications

• Fenfei Guo, Chen Zhang, Zhirui Zhang, Qixin He, Kejun Zhang, Jun Xie, and Jordan Boyd-Graber. Automatic Song Translation for Tonal Languages. Findings of the Association for Computational Linguistics, 2022. [Translation Examples (with sound)] [Code] [Bibtex]
  
  

  @article{Guo:Zhang:Zhang:He:Zhang:Xie:Boyd-Graber-2022,
  	Title = {Automatic Song Translation for Tonal Languages},
  	Author = {Fenfei Guo and Chen Zhang and Zhirui Zhang and Qixin He and Kejun Zhang and Jun Xie and Jordan Boyd-Graber},
  	Journal = {Findings of the Association for Computational Linguistics},
  	Year = {2022},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2022_acl_ast.pdf},
  	Location = {Dublin},
  }
  

• Chenglei Si, Chen Zhao, Sewon Min, and Jordan Boyd-Graber. Re-Examining Calibration: The Case of Question Answering. Findings of Empirical Methods in Natural Language Processing, 2022. [Code] [Research Talk] [Bibtex]
  
  

  @article{Si:Zhao:Min:Boyd-Graber-2022,
  	Author = {Chenglei Si and Chen Zhao and Sewon Min and Jordan Boyd-Graber},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2022_emnlp_calibration.pdf},
  	Journal = {Findings of Empirical Methods in Natural Language Processing},
  	Location = {Abu Dhabi},
  	Year = {2022},
  	Title = {Re-Examining Calibration: The Case of Question Answering},
  }
  

  
  
• Wanrong He, Andrew Mao, and Jordan Boyd-Graber. Cheater's Bowl: Human vs. Computer Search Strategies for Open-Domain QA. Findings of Empirical Methods in Natural Language Processing, 2022. [Code] [Data] [Research Talk] [Bibtex]
  
  

  @article{He:Mao:Boyd-Graber-2022,
  	Author = {Wanrong He and Andrew Mao and Jordan Boyd-Graber},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2022_emnlp_cheaters.pdf},
  	Journal = {Findings of Empirical Methods in Natural Language Processing},
  	Location = {Abu Dhabi},
  	Year = {2022},
  	Title = {Cheater's Bowl: Human vs. Computer Search Strategies for Open-Domain QA},
  }
  

  
  
• Peter Jansen and Jordan Boyd-Graber. Picard understanding Darmok: A Dataset and Model for Metaphor-Rich Translation in a Constructed Language. Figurative Language Workshop 2022 @EMNLP, 2022. [Code and Data] [Research Talk] [Bibtex]
  
  

  @article{Jansen:Boyd-Graber-2022,
  	Author = {Peter Jansen and Jordan Boyd-Graber},
  	Url = {https://arxiv.org/abs/2107.08146},
  	Booktitle = {Figurative Language Workshop 2022 @EMNLP},
  	Year = {2022},
  	Title = {Picard understanding Darmok: A Dataset and Model for Metaphor-Rich Translation in a Constructed Language},
  }
  

  
  
• HyoJung Han, Marine Carpuat, and Jordan Boyd-Graber. SimQA: Detecting Simultaneous MT Errors through Word-by-Word Question Answering. Empirical Methods in Natural Language Processing, 2022. [Code] [Research Talk] [Bibtex]
  
  

  @inproceedings{Han:Carpuat:Boyd-Graber-2022,
  	Author = {HyoJung Han and Marine Carpuat and Jordan Boyd-Graber},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2022_emnlp_simqa.pdf},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Location = {Abu Dhabi},
  	Year = {2022},
  	Title = {SimQA: Detecting Simultaneous MT Errors through Word-by-Word Question Answering},
  }
  

  
  
• Shi Feng and Jordan Boyd-Graber. Learning to Explain Selectively: A Case Study on Question Answering. Empirical Methods in Natural Language Processing, 2022. [Research Teaser] [Code and Data] [Bibtex]
  
  

  @inproceedings{Feng:Boyd-Graber-2022,
  	Author = {Shi Feng and Jordan Boyd-Graber},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2022_emnlp_augment.pdf},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Location = {Abu Dhabi},
  	Year = {2022},
  	Title = {Learning to Explain Selectively: A Case Study on Question Answering},
  }
  

  
  
• Yoshinari Fujinuma, Jordan Boyd-Graber, and Katharina Kann. How Does Multilingual Pretraining Affect Cross-Lingual Transferability?. Association for Computational Linguistics, 2022. [Code] [Bibtex]
  
  

  @inproceedings{Fujinuma:Boyd-Graber:Kann-2022,
  	Title = {How Does Multilingual Pretraining Affect Cross-Lingual Transferability?},
  	Author = {Yoshinari Fujinuma and Jordan Boyd-Graber and Katharina Kann},
  	Booktitle = {Association for Computational Linguistics},
  	Year = {2022},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2022_acl_multilingbert.pdf},
  	Location = {Dublin},
  }
  

• Michelle Yuan, Patrick Xia, Chandler May, Benjamin Van Durme, and Jordan Boyd-Graber. Adapting Coreference Resolution Models through Active Learning. Association for Computational Linguistics, 2022. [Code] [Bibtex]
  
  

  @inproceedings{Yuan:Xia:May:Durme:Boyd-Graber-2022,
  	Title = {Adapting Coreference Resolution Models through Active Learning},
  	Author = {Michelle Yuan and Patrick Xia and Chandler May and Benjamin Van Durme and Jordan Boyd-Graber},
  	Booktitle = {Association for Computational Linguistics},
  	Year = {2022},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2022_acl_alcoref.pdf},
  	Location = {Dublin},
  }
  

• 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,
  	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},
  	Url = {https://arxiv.org/abs/1911.04156},
  	Journal = {ArXiv},
  	Year = {Preprint},
  	Title = {Meta Answering for Machine Reading},
  }
  

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