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.
@article{Guo:Zhang:Zhang:He:Zhang:Xie:Boyd-Graber-2022,
Author = {Fenfei Guo and Chen Zhang and Zhirui Zhang and Qixin He and Kejun Zhang and Jun Xie and Jordan Boyd-Graber},
Title = {Automatic Song Translation for Tonal Languages},
Journal = {Findings of the Association for Computational Linguistics},
Year = {2022},
Location = {Dublin},
Url = {http://umiacs.umd.edu/~jbg//docs/2022_acl_ast.pdf},
}
@article{Si:Zhao:Min:Boyd-Graber-2022,
Title = {Re-Examining Calibration: The Case of Question Answering},
Author = {Chenglei Si and Chen Zhao and Sewon Min and Jordan Boyd-Graber},
Journal = {Findings of Empirical Methods in Natural Language Processing},
Year = {2022},
Location = {Abu Dhabi},
Url = {http://umiacs.umd.edu/~jbg//docs/2022_emnlp_calibration.pdf},
}
@article{He:Mao:Boyd-Graber-2022,
Title = {Cheater's Bowl: Human vs. Computer Search Strategies for Open-Domain QA},
Author = {Wanrong He and Andrew Mao and Jordan Boyd-Graber},
Journal = {Findings of Empirical Methods in Natural Language Processing},
Year = {2022},
Location = {Abu Dhabi},
Url = {http://umiacs.umd.edu/~jbg//docs/2022_emnlp_cheaters.pdf},
}
@article{Jansen:Boyd-Graber-2022,
Title = {Picard understanding Darmok: A Dataset and Model for Metaphor-Rich Translation in a Constructed Language},
Author = {Peter Jansen and Jordan Boyd-Graber},
Booktitle = {Figurative Language Workshop 2022 @EMNLP},
Year = {2022},
Url = {https://arxiv.org/abs/2107.08146},
}
@inproceedings{Han:Carpuat:Boyd-Graber-2022,
Title = {SimQA: Detecting Simultaneous MT Errors through Word-by-Word Question Answering},
Author = {HyoJung Han and Marine Carpuat and Jordan Boyd-Graber},
Booktitle = {Empirical Methods in Natural Language Processing},
Year = {2022},
Location = {Abu Dhabi},
Url = {http://umiacs.umd.edu/~jbg//docs/2022_emnlp_simqa.pdf},
}
@inproceedings{Feng:Boyd-Graber-2022,
Title = {Learning to Explain Selectively: A Case Study on Question Answering},
Author = {Shi Feng and Jordan Boyd-Graber},
Booktitle = {Empirical Methods in Natural Language Processing},
Year = {2022},
Location = {Abu Dhabi},
Url = {http://umiacs.umd.edu/~jbg//docs/2022_emnlp_augment.pdf},
}
@inproceedings{Yuan:Xia:May:Durme:Boyd-Graber-2022,
Author = {Michelle Yuan and Patrick Xia and Chandler May and Benjamin Van Durme and Jordan Boyd-Graber},
Title = {Adapting Coreference Resolution Models through Active Learning},
Booktitle = {Association for Computational Linguistics},
Year = {2022},
Location = {Dublin},
Url = {http://umiacs.umd.edu/~jbg//docs/2022_acl_alcoref.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},
}
@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},
}