Jordan Boyd-Graber

Jordan Boyd-Graber
Iribe 4146
University of Maryland

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jbg@umiacs.umd.edu Schedule a meeting

Pubs (Project)

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ASED

• Denis Peskov, Benny Cheng, Ahmed Elgohary, Joe Barrow, Cristian Danescu-Niculescu-Mizil, and Jordan Boyd-Graber. It Takes Two to Lie: One to Lie and One to Listen. Association for Computational Linguistics, 2020. [Video] [Data and Code] [Bibtex]
  
  

  @inproceedings{Peskov:Cheng:Elgohary:Barrow:Danescu-Niculescu-Mizil:Boyd-Graber-2020,
  	Title = {It Takes Two to Lie: One to Lie and One to Listen},
  	Author = {Denis Peskov and Benny Cheng and Ahmed Elgohary and Joe Barrow and Cristian Danescu-Niculescu-Mizil and Jordan Boyd-Graber},
  	Booktitle = {Association for Computational Linguistics},
  	Year = {2020},
  	Location = {The Cyberverse Simulacrum of Seattle},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2020_acl_diplomacy.pdf},
  }
  

  
  

Adaptive Heads-up Displays for Simultaneous Interpretation

• Chen Zhao, Chenyan Xiong, Xin Qian, and Jordan Boyd-Graber. Complex Factoid Question Answering with a Free-Text Knowledge Graph. The Web Conference, 2020. [Bibtex]
  
  

  @inproceedings{Zhao:Xiong:Qian:Boyd-Graber-2020,
  	Title = {Complex Factoid Question Answering with a Free-Text Knowledge Graph},
  	Author = {Chen Zhao and Chenyan Xiong and Xin Qian and Jordan Boyd-Graber},
  	Booktitle = {The Web Conference},
  	Year = {2020},
  	Location = {Taipei, Taiwan},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2020_www_delft.pdf},
  }
  

• Denis Peskov, Joe Barrow, Pedro Rodriguez, Graham Neubig, and Jordan Boyd-Graber. Mitigating Noisy Inputs for Question Answering. Conference of the International Speech Communication Association, 2019. [Bibtex]
  
  

  @inproceedings{Peskov:Barrow:Rodriguez:Neubig:Boyd-Graber-2019,
  	Title = {Mitigating Noisy Inputs for Question Answering},
  	Author = {Denis Peskov and Joe Barrow and Pedro Rodriguez and Graham Neubig and Jordan Boyd-Graber},
  	Booktitle = {Conference of the International Speech Communication Association},
  	Year = {2019},
  	Location = {Graz, Austria},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2019_interspeech_asr},
  }
  

• Craig Stewart, Nikolai Vogler, Junjie Hu, Jordan Boyd-Graber, and Graham Neubig. Automatic Estimation of Simultaneous Interpreter Performance. Association for Computational Linguistics, 2018. [Bibtex]
  
  

  @inproceedings{Stewart:Vogler:Hu:Boyd-Graber:Neubig-2018,
  	Title = {Automatic Estimation of Simultaneous Interpreter Performance},
  	Author = {Craig Stewart and Nikolai Vogler and Junjie Hu and Jordan Boyd-Graber and Graham Neubig},
  	Booktitle = {Association for Computational Linguistics},
  	Year = {2018},
  	Location = {Melbourne, Australia},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2018_acl_interpeval.pdf},
  }
  

BETTER

• Mozhi Zhang, Yoshinari Fujinuma, Michael J. Paul, and Jordan Boyd-Graber. Why Overfitting Isn't Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries. Association for Computational Linguistics, 2020. [Preprint] [Video] [Code] [Bibtex]
  
  

  @inproceedings{Zhang:Fujinuma:Paul:Boyd-Graber-2020,
  	Author = {Mozhi Zhang and Yoshinari Fujinuma and Michael J. Paul and Jordan Boyd-Graber},
  	Title = {Why Overfitting Isn't Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries},
  	Booktitle = {Association for Computational Linguistics},
  	Year = {2020},
  	Location = {The Cyberverse Simulacrum of Seattle},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2020_acl_refine.pdf},
  }
  

  
  

CAREER

• 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},
  }
  

• Jordan Boyd-Graber and Benjamin Börschinger. What Question Answering can Learn from Trivia Nerds. Association for Computational Linguistics, 2020. [Preprint] [Video] [Bibtex]
  
  

  @inproceedings{Boyd-Graber:B\"orschinger-2020,
  	Title = {What Question Answering can Learn from Trivia Nerds},
  	Author = {Jordan Boyd-Graber and Benjamin B\"orschinger},
  	Year = {2020},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2020_acl_trivia.pdf},
  	Location = {The Cyberverse Simulacrum of Seattle},
  	Booktitle = {Association for Computational Linguistics},
  }
  

  
  
• Chen Zhao, Chenyan Xiong, Xin Qian, and Jordan Boyd-Graber. Complex Factoid Question Answering with a Free-Text Knowledge Graph. The Web Conference, 2020. [Bibtex]
  
  

  @inproceedings{Zhao:Xiong:Qian:Boyd-Graber-2020,
  	Title = {Complex Factoid Question Answering with a Free-Text Knowledge Graph},
  	Author = {Chen Zhao and Chenyan Xiong and Xin Qian and Jordan Boyd-Graber},
  	Booktitle = {The Web Conference},
  	Year = {2020},
  	Location = {Taipei, Taiwan},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2020_www_delft.pdf},
  }
  

• Eric Wallace, Shi Feng, and Jordan Boyd-Graber. Misleading Failures of Partial-input Baselines. Association for Computational Linguistics, 2019. [Bibtex]
  
  

  @inproceedings{Wallace:Feng:Boyd-Graber-2019,
  	Title = {Misleading Failures of Partial-input Baselines},
  	Author = {Eric Wallace and Shi Feng and Jordan Boyd-Graber},
  	Booktitle = {Association for Computational Linguistics},
  	Year = {2019},
  	Location = {Florence, Italy},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2019_acl_flipside.pdf},
  }
  

• Ahmed Elgohary, Denis Peskov, and Jordan Boyd-Graber. Can You Unpack That? Learning to Rewrite Questions-in-Context. Empirical Methods in Natural Language Processing, 2019. [Data] [Bibtex]
  
  

  @inproceedings{Elgohary:Peskov:Boyd-Graber-2019,
  	Title = {Can You Unpack That? Learning to Rewrite Questions-in-Context},
  	Author = {Ahmed Elgohary and Denis Peskov and Jordan Boyd-Graber},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Year = {2019},
  	Location = {Hong Kong, China},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2019_emnlp_sequentialqa.pdf},
  }
  

• Shi Feng and Jordan Boyd-Graber. What AI can do for me: Evaluating Machine Learning Interpretations in Cooperative Play. Intelligent User Interfaces, 2019. [Bibtex]
  
  

  @inproceedings{Feng:Boyd-Graber-2019,
  	Title = {What AI can do for me: Evaluating Machine Learning Interpretations in Cooperative Play},
  	Author = {Shi Feng and Jordan Boyd-Graber},
  	Booktitle = {Intelligent User Interfaces},
  	Year = {2019},
  	Location = {Los Angeles, CA},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2019_iui_augment.pdf},
  }
  

  
  
• Eric Wallace, Pedro Rodriguez, Shi Feng, Ikuya Yamada, and Jordan Boyd-Graber. Trick Me If You Can: Human-in-the-loop Generation of Adversarial Question Answering Examples. Transactions of the Association of Computational Linguistics, 2019. [Code] [Videos] [Data] [Bibtex]
  
  

  @article{Wallace:Rodriguez:Feng:Yamada:Boyd-Graber-2019,
  	Title = {Trick Me If You Can: Human-in-the-loop Generation of Adversarial Question Answering Examples},
  	Author = {Eric Wallace and Pedro Rodriguez and Shi Feng and Ikuya Yamada and Jordan Boyd-Graber},
  	Booktitle = {Transactions of the Association of Computational Linguistics},
  	Year = {2019},
  	Volume = {10},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2019_tacl_trick.pdf},
  }
  

  
  
• Eric Wallace and Jordan Boyd-Graber. Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions. ACL Student Research Workshop, 2018. [Bibtex]
  
  

  @inproceedings{Wallace:Boyd-Graber-2018,
  	Title = {Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions},
  	Author = {Eric Wallace and Jordan Boyd-Graber},
  	Booktitle = {ACL Student Research Workshop},
  	Year = {2018},
  	Location = {Melbourne, Australia},
  	Url = {http://aclweb.org/anthology/P18-3018},
  }
  

• Shi Feng, Eric Wallace, and Jordan Boyd-Graber. Interpreting Neural Networks with Nearest Neighbors. EMNLP Workshop on BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2018. [Bibtex]
  
  

  @inproceedings{Feng:Wallace:Boyd-Graber-2018,
  	Title = {Interpreting Neural Networks with Nearest Neighbors},
  	Author = {Shi Feng and Eric Wallace and Jordan Boyd-Graber},
  	Booktitle = {EMNLP Workshop on BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP},
  	Year = {2018},
  	Location = {Brussels, Belgium},
  	Url = {http://aclweb.org/anthology/W18-5416},
  }
  

• Ahmed Elgohary, Chen Zhao, and Jordan Boyd-Graber. Dataset and Baselines for Sequential Open-Domain Question Answering. Empirical Methods in Natural Language Processing, 2018. [Bibtex]
  
  

  @inproceedings{Elgohary:Zhao:Boyd-Graber-2018,
  	Title = {Dataset and Baselines for Sequential Open-Domain Question Answering},
  	Author = {Ahmed Elgohary and Chen Zhao and Jordan Boyd-Graber},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Year = {2018},
  	Location = {Brussels, Belgium},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2018_emnlp_linked.pdf},
  }
  

• Shi Feng, Eric Wallace, Alvin Grissom II, Pedro Rodriguez, Mohit Iyyer, and Jordan Boyd-Graber. Pathologies of Neural Models Make Interpretation Difficult. Empirical Methods in Natural Language Processing, 2018. [Blog Post] [Bibtex]
  
  

  @inproceedings{Feng:Wallace:II:Rodriguez:Iyyer:Boyd-Graber-2018,
  	Title = {Pathologies of Neural Models Make Interpretation Difficult},
  	Author = {Shi Feng and Eric Wallace and Alvin Grissom II and Pedro Rodriguez and Mohit Iyyer and Jordan Boyd-Graber},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Year = {2018},
  	Location = {Brussels, Belgium},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2018_emnlp_rs.pdf},
  }
  

  
  
• Mohit Iyyer, Varun Manjunatha, Jordan Boyd-Graber, and Larry Davis. Learning to Color from Language. North American Association of Computational Linguistics, 2018. [Bibtex]
  
  

  @inproceedings{Iyyer:Manjunatha:Boyd-Graber:Davis-2018,
  	Title = {Learning to Color from Language},
  	Author = {Mohit Iyyer and Varun Manjunatha and Jordan Boyd-Graber and Larry Davis},
  	Booktitle = {North American Association of Computational Linguistics},
  	Year = {2018},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2018_naacl_colorization.pdf},
  }
  

• Jordan Boyd-Graber, Shi Feng, and Pedro Rodriguez. Human-Computer Question Answering: The Case for Quizbowl. The NIPS '17 Competition: Building Intelligent Systems, 2018. [Bibtex]
  
  

  @inbook{Boyd-Graber:Feng:Rodriguez-2018,
  	Editor = {Sergio Escalera and Markus Weimer},
  	Title = {Human-Computer Question Answering: The Case for Quizbowl},
  	Author = {Jordan Boyd-Graber and Shi Feng and Pedro Rodriguez},
  	Booktitle = {The NIPS '17 Competition: Building Intelligent Systems},
  	Publisher = {Springer Verlag},
  	Year = {2018},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2018_nips_qbcomp.pdf},
  }
  

Closing the Loop

• 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},
  }
  

• Alison Smith, Jordan Boyd-Graber, Ron Fan, Melissa Birchfield, Tongshuang Wu, Dan Weld, and Leah Findlater. No Explainability without Accountability: An Empirical Study of Explanations and Feedback in Interactive ML. Computer-Human Interaction, 2020. [Bibtex]
  
  

  @inproceedings{Smith:Boyd-Graber:Fan:Birchfield:Wu:Weld:Findlater-2020,
  	Author = {Alison Smith and Jordan Boyd-Graber and Ron Fan and Melissa Birchfield and Tongshuang Wu and Dan Weld and Leah Findlater},
  	Booktitle = {Computer-Human Interaction},
  	Year = {2020},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2020_chi_explanation.pdf},
  	Title = {No Explainability without Accountability: An Empirical Study of Explanations and Feedback in Interactive ML},
  }
  

• Alison Smith, Varun Kumar, Jordan Boyd-Graber, Kevin Seppi, and Leah Findlater. Digging into User Control: Perceptions of Adherence and Instability in Transparent Models. Intelligent User Interfaces, 2020. [Bibtex]
  
  

  @inproceedings{Smith:Kumar:Boyd-Graber:Seppi:Findlater-2020,
  	Author = {Alison Smith and Varun Kumar and Jordan Boyd-Graber and Kevin Seppi and Leah Findlater},
  	Booktitle = {Intelligent User Interfaces},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2020_iui_control.pdf},
  	Year = {2020},
  	Title = {Digging into User Control: Perceptions of Adherence and
  Instability in Transparent Models},
  }
  

• Fenfei Guo, Jordan Boyd-Graber, Mohit Iyyer, and Leah Findlater. Which Evaluations Uncover Sense Representations that Actually Make Sense?. Linguistic Resources and Evaluation Conference, 2020. [Bibtex]
  
  

  @inproceedings{Guo:Boyd-Graber:Iyyer:Findlater-2020,
  	Author = {Fenfei Guo and Jordan Boyd-Graber and Mohit Iyyer and Leah Findlater},
  	Location = {France (but only in dreams)},
  	Booktitle = {Linguistic Resources and Evaluation Conference},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2020_lrec_sense.pdf},
  	Year = {2020},
  	Title = {Which Evaluations Uncover Sense Representations that Actually Make Sense?},
  }
  

• Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Courtni Byun, Jordan Boyd-Graber, and Kevin Seppi. Automatic and Human Evaluation of Local Topic Quality. Association for Computational Linguistics, 2019. [Code] [Bibtex]
  
  

  @inproceedings{Lund:Armstrong:Fearn:Cowley:Byun:Boyd-Graber:Seppi-2019,
  	Title = {Automatic and Human Evaluation of Local Topic Quality},
  	Author = {Jeffrey Lund and Piper Armstrong and Wilson Fearn and Stephen Cowley and Courtni Byun and Jordan Boyd-Graber and Kevin Seppi},
  	Booktitle = {Association for Computational Linguistics},
  	Year = {2019},
  	Location = {Florence, Italy},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2019_acl_local.pdf},
  }
  

• Varun Kumar, Alison Smith, Leah Findlater, Kevin Seppi, and Jordan Boyd-Graber. Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models. Association for Computational Linguistics, 2019. [Bibtex]
  
  

  @inproceedings{Kumar:Smith:Findlater:Seppi:Boyd-Graber-2019,
  	Author = {Varun Kumar and Alison Smith and Leah Findlater and Kevin Seppi and Jordan Boyd-Graber},
  	Booktitle = {Association for Computational Linguistics},
  	Year = {2019},
  	Location = {Florence, Italy},
  	Title = {Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2019_acl_control.pdf},
  }
  

• Dasha Pruss, Yoshinari Fujinuma, Ashlynn Daughton, Michael Paul, Brad Arnot, Danielle Szafir, and Jordan Boyd-Graber. Zika discourse in the Americas: A multilingual topic analysis of Twitter. PlosOne, 2019. [Data] [Bibtex]
  
  

  @article{Pruss:Fujinuma:Daughton:Paul:Arnot:Szafir:Boyd-Graber-2019,
  	Author = {Dasha Pruss and Yoshinari Fujinuma and Ashlynn Daughton and Michael Paul and Brad Arnot and Danielle Szafir and Jordan Boyd-Graber},
  	Journal = {PlosOne},
  	Year = {2019},
  	Title = {Zika discourse in the Americas: A multilingual topic analysis of {Twitter}},
  	Url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0216922},
  }
  

• Eric Wallace, Pedro Rodriguez, Shi Feng, Ikuya Yamada, and Jordan Boyd-Graber. Trick Me If You Can: Human-in-the-loop Generation of Adversarial Question Answering Examples. Transactions of the Association of Computational Linguistics, 2019. [Code] [Videos] [Data] [Bibtex]
  
  

  @article{Wallace:Rodriguez:Feng:Yamada:Boyd-Graber-2019,
  	Title = {Trick Me If You Can: Human-in-the-loop Generation of Adversarial Question Answering Examples},
  	Author = {Eric Wallace and Pedro Rodriguez and Shi Feng and Ikuya Yamada and Jordan Boyd-Graber},
  	Booktitle = {Transactions of the Association of Computational Linguistics},
  	Year = {2019},
  	Volume = {10},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2019_tacl_trick.pdf},
  }
  

  
  
• Alison Smith, Varun Kumar, Jordan Boyd-Graber, Kevin Seppi, and Leah Findlater. User-Centered Design and Evaluation of a Human-in-the-Loop Topic Modeling System. Intelligent User Interfaces, 2018. [Bibtex]
  
  

  @inproceedings{Smith:Kumar:Boyd-Graber:Seppi:Findlater-2018,
  	Author = {Alison Smith and Varun Kumar and Jordan Boyd-Graber and Kevin Seppi and Leah Findlater},
  	Booktitle = {Intelligent User Interfaces},
  	Year = {2018},
  	Title = {User-Centered Design and Evaluation of a Human-in-the-Loop Topic Modeling System},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2018_iui_itm.pdf},
  }
  

  Alison won a best student paper honorable mention (3 out of 300)
• Paul Felt, Eric Ringger, Kevin Seppi, and Jordan Boyd-Graber. Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types. International Conference on Computational Linguistics, 2018. [Bibtex]
  
  

  @inproceedings{Felt:Ringger:Seppi:Boyd-Graber-2018,
  	Title = {Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types},
  	Author = {Paul Felt and Eric Ringger and Kevin Seppi and Jordan Boyd-Graber},
  	Booktitle = {International Conference on Computational Linguistics},
  	Year = {2018},
  	Location = {Santa Fe, New Mexico},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2018_coling_measurements.pdf},
  }
  

• Jeff Lund, Connor Cook, Kevin Seppi, and Jordan Boyd-Graber. Tandem Anchoring: A Multiword Anchor Approach for Interactive Topic Modeling. Association for Computational Linguistics, 2017. [Code] [Bibtex]
  
  

  @inproceedings{Lund:Cook:Seppi:Boyd-Graber-2017,
  	Title = {Tandem Anchoring: A Multiword Anchor Approach for Interactive Topic Modeling},
  	Author = {Jeff Lund and Connor Cook and Kevin Seppi and Jordan Boyd-Graber},
  	Booktitle = {Association for Computational Linguistics},
  	Year = {2017},
  	Location = {Vancouver, British Columbia},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2017_acl_multiword_anchors.pdf},
  }
  

  
  
• Alison Smith, Varun Kumar, Jordan Boyd-Graber, Kevin Seppi, and Leah Findlater. Accounting for Input Uncertainty in Human-in-the-Loop Systems. CHI 2017 Designing for Uncertainty Workshop, 2017. [Bibtex]
  
  

  @inproceedings{Smith:Kumar:Boyd-Graber:Seppi:Findlater-2017,
  	Author = {Alison Smith and Varun Kumar and Jordan Boyd-Graber and Kevin Seppi and Leah Findlater},
  	Booktitle = {CHI 2017 Designing for Uncertainty Workshop},
  	Year = {2017},
  	Location = {Denver, CO},
  	Title = {Accounting for Input Uncertainty in Human-in-the-Loop Systems},
  	Url = {http://visualization.ischool.uw.edu/hci_uncertainty/papers/Paper11.pdf},
  }
  

• You Lu, Jeff Lund, and Jordan Boyd-Graber. Why ADAGRAD Fails for Online Topic Modeling. Empirical Methods in Natural Language Processing, 2017. [Bibtex]
  
  

  @inproceedings{Lu:Lund:Boyd-Graber-2017,
  	Title = {Why ADAGRAD Fails for Online Topic Modeling},
  	Author = {You Lu and Jeff Lund and Jordan Boyd-Graber},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2017_emnlp_adagrad_olda.pdf},
  	Year = {2017},
  	Location = {Copenhagen, Denmark},
  }
  

• Tak Yeon Lee, Alison Smith, Kevin Seppi, Niklas Elmqvist, Jordan Boyd-Graber, and Leah Findlater. The Human Touch: How Non-expert Users Perceive, Interpret, and Fix Topic Models. International Journal of Human-Computer Studies, 2017. [Journal] [Bibtex]
  
  

  @article{Lee:Smith:Seppi:Elmqvist:Boyd-Graber:Findlater-2017,
  	Author = {Tak Yeon Lee and Alison Smith and Kevin Seppi and Niklas Elmqvist and Jordan Boyd-Graber and Leah Findlater},
  	Journal = {International Journal of Human-Computer Studies},
  	Year = {2017},
  	Title = {The Human Touch: How Non-expert Users Perceive, Interpret, and Fix Topic Models},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2017_ijhcs_human_touch.pdf},
  }
  

• Jordan Boyd-Graber. Humans and Computers Working Together to Measure Machine Learning Interpretability. The Bridge, 2017. [Journal] [Bibtex]
  
  

  @article{Boyd-Graber-2017,
  	Author = {Jordan Boyd-Graber},
  	Journal = {The Bridge},
  	Year = {2017},
  	Title = {Humans and Computers Working Together to Measure Machine Learning Interpretability},
  	Volume = {47},
  	Pages = {6--10},
  }
  

• Alison Smith, Tak Yeon Lee, Forough Poursabzi-Sangdeh, Jordan Boyd-Graber, Kevin Seppi, Niklas Elmqvist, and Leah Findlater. Evaluating Visual Representations for Topic Understanding and Their Effects on Manually Generated Labels. Transactions of the Association for Computational Linguistics, 2017. [Journal] [Data] [Bibtex]
  
  

  @article{Smith:Lee:Poursabzi-Sangdeh:Boyd-Graber:Seppi:Elmqvist:Findlater-2017,
  	Author = {Alison Smith and Tak Yeon Lee and Forough Poursabzi-Sangdeh and Jordan Boyd-Graber and Kevin Seppi and Niklas Elmqvist and Leah Findlater},
  	Journal = {Transactions of the Association for Computational Linguistics},
  	Year = {2017},
  	Title = {Evaluating Visual Representations for Topic Understanding and Their Effects on Manually Generated Labels},
  	Volume = {5},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2017_tacl_eval_tm_viz.pdf},
  	Pages = {1--15},
  }
  

• Forough Poursabzi-Sangdeh, Jordan Boyd-Graber, Leah Findlater, and Kevin Seppi. ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling. Association for Computational Linguistics, 2016. [Code] [Bibtex]
  
  

  @inproceedings{Poursabzi-Sangdeh:Boyd-Graber:Findlater:Seppi-2016,
  	Title = {ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling},
  	Author = {Forough Poursabzi-Sangdeh and Jordan Boyd-Graber and Leah Findlater and Kevin Seppi},
  	Booktitle = {Association for Computational Linguistics},
  	Year = {2016},
  	Location = {Berlin, Brandenburg},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2016_acl_doclabel.pdf},
  }
  

• Alison Smith, Tak Yeon Lee, Forough Poursabzi-Sangdeh, Jordan Boyd-Graber, Kevin Seppi, Niklas Elmqvist, and Leah Findlater. Human-Centered and Interactive: Expanding the Impact of Topic Models. CHI Human Centred Machine Learning Workshop, 2016. [Bibtex]
  
  

  @inproceedings{Smith:Lee:Poursabzi-Sangdeh:Boyd-Graber:Seppi:Elmqvist:Findlater-2016,
  	Author = {Alison Smith and Tak Yeon Lee and Forough Poursabzi-Sangdeh and Jordan Boyd-Graber and Kevin Seppi and Niklas Elmqvist and Leah Findlater},
  	Booktitle = {CHI Human Centred Machine Learning Workshop},
  	Year = {2016},
  	Location = {San Jose, CA},
  	Title = {Human-Centered and Interactive: Expanding the Impact of Topic Models},
  }
  

  
  
• Md Arafat Sultan, Jordan Boyd-Graber, and Tamara Sumner. Bayesian Supervised Domain Adaptation for Short Text Similarity. North American Association for Computational Linguistics, 2016. [Talk] [Bibtex]
  
  

  @inproceedings{Sultan:Boyd-Graber:Sumner-2016,
  	Title = {Bayesian Supervised Domain Adaptation for Short Text Similarity},
  	Author = {Md Arafat Sultan and Jordan Boyd-Graber and Tamara Sumner},
  	Booktitle = {North American Association for Computational Linguistics},
  	Year = {2016},
  	Location = {San Diego, CA},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2016_naacl_sts.pdf},
  }
  

  
  
• Viet-An Nguyen, Jordan Boyd-Graber, Philip Resnik, and Kristina Miler. Tea Party in the House: A Hierarchical Ideal Point Topic Model and Its Application to Republican Legislators in the 112th Congress. Association for Computational Linguistics, 2015. [Talk] [Code] [LaTeX] [Bibtex]
  
  

  @inproceedings{Nguyen:Boyd-Graber:Resnik:Miler-2015,
  	Title = {Tea Party in the House: A Hierarchical Ideal Point Topic Model and Its Application to Republican Legislators in the 112th Congress},
  	Author = {Viet-An Nguyen and Jordan Boyd-Graber and Philip Resnik and Kristina Miler},
  	Booktitle = {Association for Computational Linguistics},
  	Year = {2015},
  	Location = {Beijing, China},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2015_acl_teaparty.pdf},
  }
  

  
  
• Paul Felt, Eric Ringger, Jordan Boyd-Graber, and Kevin Seppi. Making the Most of Crowdsourced Document Annotations: Confused Supervised LDA. Conference on Computational Natural Language Learning, 2015. [Talk] [Bibtex]
  
  

  @inproceedings{Felt:Ringger:Boyd-Graber:Seppi-2015,
  	Title = {Making the Most of Crowdsourced Document Annotations: Confused Supervised {LDA}},
  	Author = {Paul Felt and Eric Ringger and Jordan Boyd-Graber and Kevin Seppi},
  	Booktitle = {Conference on Computational Natural Language Learning},
  	Year = {2015},
  	Location = {Beijing, China},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2015_conll_cslda.pdf},
  }
  

  This paper received the best paper award at CoNLL
  
• Yi Yang, Doug Downey, and Jordan Boyd-Graber. Efficient Methods for Incorporating Knowledge into Topic Models. Empirical Methods in Natural Language Processing, 2015. [Code] [Bibtex]
  
  

  @inproceedings{Yang:Downey:Boyd-Graber-2015,
  	Title = {Efficient Methods for Incorporating Knowledge into Topic Models},
  	Author = {Yi Yang and Doug Downey and Jordan Boyd-Graber},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Year = {2015},
  	Location = {Lisbon, Portugal},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2015_emnlp_fast_priors.pdf},
  }
  

• Stephen H. Bach, Bert Huang, Jordan Boyd-Graber, and Lise Getoor. Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs. International Conference on Machine Learning, 2015. [Video] [Bibtex]
  
  

  @inproceedings{Bach:Huang:Boyd-Graber:Getoor-2015,
  	Title = {Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs},
  	Author = {Stephen H. Bach and Bert Huang and Jordan Boyd-Graber and Lise Getoor},
  	Location = {Lille, France},
  	Booktitle = {International Conference on Machine Learning},
  	Year = {2015},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2015_icml_paired_dual.pdf},
  }
  

• Thang Nguyen, Jordan Boyd-Graber, Jeff Lund, Kevin Seppi, and Eric Ringger. Is your anchor going up or down? Fast and accurate supervised topic models. North American Association for Computational Linguistics, 2015. [Bibtex]
  
  

  @inproceedings{Nguyen:Boyd-Graber:Lund:Seppi:Ringger-2015,
  	Title = {Is your anchor going up or down?  {F}ast and accurate supervised topic models},
  	Author = {Thang Nguyen and Jordan Boyd-Graber and Jeff Lund and Kevin Seppi and Eric Ringger},
  	Booktitle = {North American Association for Computational Linguistics},
  	Year = {2015},
  	Location = {Denver, Colorado},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2015_naacl_supervised_anchor.pdf},
  }
  

• Alison Smith, Jason Chuang, Yuening Hu, Jordan Boyd-Graber, and Leah Findlater. Concurrent Visualization of Relationships between Words and Topics in Topic Models. ACL Workshop on Workshop on Interactive Language Learning, Visualization, and Interfaces, 2014. [Bibtex]
  
  

  @inproceedings{Smith:Chuang:Hu:Boyd-Graber:Findlater-2014,
  	Title = {Concurrent Visualization of Relationships between Words and Topics in Topic Models},
  	Author = {Alison Smith and Jason Chuang and Yuening Hu and Jordan Boyd-Graber and Leah Findlater},
  	Booktitle = {ACL Workshop on Workshop on Interactive Language Learning, Visualization, and Interfaces},
  	Year = {2014},
  	Location = {Baltimore, Maryland},
  }
  

• Yuening Hu, Jordan Boyd-Graber, Brianna Satinoff, and Alison Smith. Interactive Topic Modeling. Machine Learning, 2014. [Journal] [Frontend Code] [Backend Code] [Bibtex]
  
  

  @article{Hu:Boyd-Graber:Satinoff:Smith-2014,
  	Title = {Interactive Topic Modeling},
  	Author = {Yuening Hu and Jordan Boyd-Graber and Brianna Satinoff and Alison Smith},
  	Journal = {Machine Learning},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2014_mlj_itm.pdf},
  	Year = {2014},
  	Volume = {95},
  	Pages = {423--469},
  	Publisher = {Springer},
  }
  

• Yuening Hu, Jordan Boyd-Graber, and Brianna Satinoff. Interactive Topic Modeling. Association for Computational Linguistics, 2011. [Slides] [Code] [Bibtex]
  
  

  @inproceedings{Hu:Boyd-Graber:Satinoff-2011,
  	Title = {Interactive Topic Modeling},
  	Author = {Yuening Hu and Jordan Boyd-Graber and Brianna Satinoff},
  	Booktitle = {Association for Computational Linguistics},
  	Year = {2011},
  	Location = {Portland, Oregon},
  	Url = {http://umiacs.umd.edu/~jbg//docs/itm.pdf},
  }
  

Cross-Language Bayesian Models for Web-Scale Text Analysis

• Thang Nguyen, Yuening Hu, and Jordan Boyd-Graber. Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms. Association for Computational Linguistics, 2014. [Talk] [Bibtex]
  
  

  @inproceedings{Nguyen:Hu:Boyd-Graber-2014,
  	Title = {Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms},
  	Author = {Thang Nguyen and Yuening Hu and Jordan Boyd-Graber},
  	Booktitle = {Association for Computational Linguistics},
  	Year = {2014},
  	Location = {Baltimore, MD},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2014_acl_anchor_reg.pdf},
  }
  

  
  
• Mohit Iyyer, Peter Enns, Jordan Boyd-Graber, and Philip Resnik. Political Ideology Detection Using Recursive Neural Networks. Association for Computational Linguistics, 2014. [Data] [Bibtex]
  
  

  @inproceedings{Iyyer:Enns:Boyd-Graber:Resnik-2014,
  	Title = {Political Ideology Detection Using Recursive Neural Networks},
  	Author = {Mohit Iyyer and Peter Enns and Jordan Boyd-Graber and Philip Resnik},
  	Booktitle = {Association for Computational Linguistics},
  	Year = {2014},
  	Location = {Baltimore, MD},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2014_acl_rnn_ideology.pdf},
  }
  

• Yuening Hu, Jordan Boyd-Graber, Brianna Satinoff, and Alison Smith. Interactive Topic Modeling. Machine Learning, 2014. [Journal] [Frontend Code] [Backend Code] [Bibtex]
  
  

  @article{Hu:Boyd-Graber:Satinoff:Smith-2014,
  	Title = {Interactive Topic Modeling},
  	Author = {Yuening Hu and Jordan Boyd-Graber and Brianna Satinoff and Alison Smith},
  	Journal = {Machine Learning},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2014_mlj_itm.pdf},
  	Year = {2014},
  	Volume = {95},
  	Pages = {423--469},
  	Publisher = {Springer},
  }
  

• Viet-An Nguyen, Jordan Boyd-Graber, Philip Resnik, Deborah Cai, Jennifer Midberry, and Yuanxin Wang. Modeling Topic Control to Detect Influence in Conversations using Nonparametric Topic Models. Machine Learning, 2014. [Journal] [Code] [Data] [Bibtex]
  
  

  @article{Nguyen:Boyd-Graber:Resnik:Cai:Midberry:Wang-2014,
  	Title = {Modeling Topic Control to Detect Influence in Conversations using Nonparametric Topic Models},
  	Author = {Viet-An Nguyen and Jordan Boyd-Graber and Philip Resnik and Deborah Cai and Jennifer Midberry and Yuanxin Wang},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2014_mlj_influencer.pdf},
  	Journal = {Machine Learning},
  	Year = {2014},
  	Volume = {95},
  	Pages = {381--421},
  	Publisher = {Springer},
  }
  

• Ke Zhai, Jordan Boyd-Graber, and Shay B. Cohen. Hybrid Online Inference with Adaptor Grammars. NIPS Workshop on Advances in Variational Inference, 2014. [Bibtex]
  
  

  @article{Zhai:Boyd-Graber:Cohen-2014,
  	Title = {Hybrid Online Inference with Adaptor Grammars},
  	Author = {Ke Zhai and Jordan Boyd-Graber and Shay B. Cohen},
  	Booktitle = {NIPS Workshop on Advances in Variational Inference},
  	Year = {2014},
  }
  

• Ke Zhai, Jordan Boyd-Graber, and Shay B. Cohen. Online Adaptor Grammars with Hybrid Inference. Transactions of the Association for Computational Linguistics, 2014. [Code] [Bibtex]
  
  

  @article{Zhai:Boyd-Graber:Cohen-2014,
  	Title = {Online Adaptor Grammars with Hybrid Inference},
  	Author = {Ke Zhai and Jordan Boyd-Graber and Shay B. Cohen},
  	Journal = {Transactions of the Association for Computational Linguistics},
  	Year = {2014},
  	Publisher = {Association for Computational Linguistics},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2014_tacl_ag_vb_online.pdf},
  }
  

• Jordan Boyd-Graber, Kimberly Glasgow, and Jackie Sauter Zajac. Spoiler Alert: Machine Learning Approaches to Detect Social Media Posts with Revelatory Information. ASIST 2013: The 76th Annual Meeting of the American Society for Information Science and Technology, 2013. [Data] [Bibtex]
  
  

  @inproceedings{Boyd-Graber:Glasgow:Zajac-2013,
  	Title = {Spoiler Alert: Machine Learning Approaches to Detect Social Media Posts with Revelatory Information},
  	Author = {Jordan Boyd-Graber and Kimberly Glasgow and Jackie Sauter Zajac},
  	Booktitle = {ASIST 2013: The 76th Annual Meeting of the American Society for Information Science and Technology},
  	Year = {2013},
  	Location = {Montreal, Canada},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2013_spoiler.pdf},
  }
  

• Ke Zhai and Jordan Boyd-Graber. Online Topic Models with Infinite Vocabulary. International Conference on Machine Learning, 2013. [Poster] [Talk] [Code] [Bibtex]
  
  

  @inproceedings{Zhai:Boyd-Graber-2013,
  	Title = {Online Topic Models with Infinite Vocabulary},
  	Author = {Ke Zhai and Jordan Boyd-Graber},
  	Booktitle = {International Conference on Machine Learning},
  	Year = {2013},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2013_icml_infvoc.pdf},
  }
  

• Viet-An Nguyen, Jordan Boyd-Graber, and Stephen Altschul. Dirichlet Mixtures, the Dirichlet Process, and the Structure of Protein Space. Journal of Computational Biology, 2013. [Journal] [Bibtex]
  
  

  @article{Nguyen:Boyd-Graber:Altschul-2013,
  	Title = {Dirichlet Mixtures, the Dirichlet Process, and the Structure of Protein Space},
  	Author = {Viet-An Nguyen and Jordan Boyd-Graber and Stephen Altschul},
  	Journal = {Journal of Computational Biology},
  	Year = {2013},
  	Volume = {20},
  	Number = {1},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2013_dp_protein.pdf},
  }
  

• Yuening Hu, Jordan Boyd-Graber, Hal Daumé III, and Z. Irene Ying. Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent. Neural Information Processing Systems, 2013. [Supplement] [Data] [Bibtex]
  
  

  @inproceedings{Hu:Boyd-Graber:Daume-III:Ying-2013,
  	Url = {http://umiacs.umd.edu/~jbg//docs/2013_coalescent.pdf},
  	Title = {Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent},
  	Author = {Yuening Hu and Jordan Boyd-Graber and Hal {Daum\'{e} III} and Z. Irene Ying},
  	Booktitle = {Neural Information Processing Systems},
  	Year = {2013},
  }
  

• Viet-An Nguyen, Jordan Boyd-Graber, and Philip Resnik. Lexical and Hierarchical Topic Regression. Neural Information Processing Systems, 2013. [Supplement] [Bibtex]
  
  

  @inproceedings{Nguyen:Boyd-Graber:Resnik-2013,
  	Url = {http://umiacs.umd.edu/~jbg//docs/2013_shlda.pdf},
  	Title = {Lexical and Hierarchical Topic Regression},
  	Author = {Viet-An Nguyen and Jordan Boyd-Graber and Philip Resnik},
  	Booktitle = {Neural Information Processing Systems},
  	Year = {2013},
  	Location = {Lake Tahoe, Nevada},
  }
  

• Viet-An Nguyen, Yuening Hu, Jordan Boyd-Graber, and Philip Resnik. Argviz: Interactive Visualization of Topic Dynamics in Multi-party Conversations. North American Association for Computational Linguistics, 2013. [Bibtex]
  
  

  @inproceedings{Nguyen:Hu:Boyd-Graber:Resnik-2013,
  	Title = {Argviz: Interactive Visualization of Topic Dynamics in Multi-party Conversations},
  	Author = {Viet-An Nguyen and Yuening Hu and Jordan Boyd-Graber and Philip Resnik},
  	Booktitle = {North American Association for Computational Linguistics},
  	Year = {2013},
  	Location = {Atlanta Georgia},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2013_argviz.pdf},
  }
  

• Naho Orita, Rebecca McKeown, Naomi H. Feldman, Jeffrey Lidz, and Jordan Boyd-Graber. Discovering Pronoun Categories using Discourse Information. Proceedings of the Cognitive Science Society, 2013. [Bibtex]
  
  

  @inproceedings{Orita:McKeown:Feldman:Lidz:Boyd-Graber-2013,
  	Title = {Discovering Pronoun Categories using Discourse Information},
  	Author = {Naho Orita and Rebecca McKeown and Naomi H. Feldman and Jeffrey Lidz and Jordan Boyd-Graber},
  	Booktitle = {Proceedings of the Cognitive Science Society},
  	Year = {2013},
  	Location = {Berlin, Germany},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2013_cogsci_pronoun.pdf},
  }
  

• Ke Zhai, Jordan Boyd-Graber, Nima Asadi, and Mohamad Alkhouja. Mr. LDA: A Flexible Large Scale Topic Modeling Package using Variational Inference in MapReduce. ACM International Conference on World Wide Web, 2012. [Code] [Slides] [Bibtex]
  
  

  @inproceedings{Zhai:Boyd-Graber:Asadi:Alkhouja-2012,
  	Title = {{Mr. LDA}: A Flexible Large Scale Topic Modeling Package using Variational Inference in MapReduce},
  	Url = {http://umiacs.umd.edu/~jbg//docs/mrlda.pdf},
  	Author = {Ke Zhai and Jordan Boyd-Graber and Nima Asadi and Mohamad Alkhouja},
  	Booktitle = {ACM International Conference on World Wide Web},
  	Year = {2012},
  	Location = {Lyon, France},
  }
  

• Yuening Hu and Jordan Boyd-Graber. Efficient Tree-Based Topic Modeling. Association for Computational Linguistics, 2012. [Bibtex]
  
  

  @inproceedings{Hu:Boyd-Graber-2012,
  	Title = {Efficient Tree-Based Topic Modeling},
  	Author = {Yuening Hu and Jordan Boyd-Graber},
  	Booktitle = {Association for Computational Linguistics},
  	Year = {2012},
  	Location = {Jeju, South Korea},
  	Url = {http://umiacs.umd.edu/~jbg//docs/acl_2012_fttm.pdf},
  }
  

• Vladimir Eidelman, Jordan Boyd-Graber, and Philip Resnik. Topic Models for Dynamic Translation Model Adaptation. Association for Computational Linguistics, 2012. [Presentation] [More Recent Paper] [Bibtex]
  
  

  @inproceedings{Eidelman:Boyd-Graber:Resnik-2012,
  	Title = {Topic Models for Dynamic Translation Model Adaptation},
  	Author = {Vladimir Eidelman and Jordan Boyd-Graber and Philip Resnik},
  	Booktitle = {Association for Computational Linguistics},
  	Year = {2012},
  	Location = {Jeju, South Korea},
  	Url = {http://umiacs.umd.edu/~jbg//docs/acl_2012_tm_for_mt.pdf},
  }
  

  For a more thorough evaluation and an exploration of more advanced topic models for machine translation, see: Yuening Hu, Ke Zhai, Vlad Eidelman, and Jordan Boyd-Graber. Polylingual Tree-Based Topic Models for Translation Domain Adaptation. Association for Computational Linguistics, 2014.
  
• Viet-An Nguyen, Jordan Boyd-Graber, and Philip Resnik. SITS: A Hierarchical Nonparametric Model using Speaker Identity for Topic Segmentation in Multiparty Conversations. Association for Computational Linguistics, 2012. [Data] [Code] [Slides] [Appendix] [Bibtex]
  
  

  @inproceedings{Nguyen:Boyd-Graber:Resnik-2012,
  	Title = {{SITS}: A Hierarchical Nonparametric Model using Speaker Identity for Topic Segmentation in Multiparty Conversations},
  	Author = {Viet-An Nguyen and Jordan Boyd-Graber and Philip Resnik},
  	Booktitle = {Association for Computational Linguistics},
  	Year = {2012},
  	Location = {Jeju, South Korea},
  	Url = {http://umiacs.umd.edu/~jbg//docs/acl_2012_sits.pdf},
  }
  

• Yuening Hu, Ke Zhai, Sinead Williamson, and Jordan Boyd-Graber. Modeling Images using Transformed Indian Buffet Processes. International Conference of Machine Learning, 2012. [Code] [Data] [Presentation] [Bibtex]
  
  

  @inproceedings{Hu:Zhai:Williamson:Boyd-Graber-2012,
  	Title = {Modeling Images using Transformed {I}ndian Buffet Processes},
  	Author = {Yuening Hu and Ke Zhai and Sinead Williamson and Jordan Boyd-Graber},
  	Booktitle = {International Conference of Machine Learning},
  	Year = {2012},
  	Url = {http://umiacs.umd.edu/~jbg//docs/mtibp_icml_2012.pdf},
  	Location = {Edinburgh, Scotland},
  }
  

  
  

LORELEI

• Mozhi Zhang, Yoshinari Fujinuma, and Jordan Boyd-Graber. Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification. Association for the Advancement of Artificial Intelligence, 2020. [Bibtex]
  
  

  @inproceedings{Zhang:Fujinuma:Boyd-Graber-2020,
  	Title = {Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification},
  	Author = {Mozhi Zhang and Yoshinari Fujinuma and Jordan Boyd-Graber},
  	Booktitle = {Association for the Advancement of Artificial Intelligence},
  	Year = {2020},
  	Location = {New York, New York},
  	Url = {https://arxiv.org/abs/1812.09617},
  }
  

• Yoshinari Fujinuma, Michael Paul, and Jordan Boyd-Graber. A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity. Association for Computational Linguistics, 2019. [Bibtex]
  
  

  @inproceedings{Fujinuma:Paul:Boyd-Graber-2019,
  	Title = {A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity},
  	Author = {Yoshinari Fujinuma and Michael Paul and Jordan Boyd-Graber},
  	Booktitle = {Association for Computational Linguistics},
  	Year = {2019},
  	Location = {Florence, Italy},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2019_acl_modularity.pdf},
  }
  

• Mozhi Zhang, Keyulu Xu, Ken-ichi Kawarabayashi, Stefanie Jegelka, and Jordan Boyd-Graber. Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization. Association for Computational Linguistics, 2019. [Preprint] [Bibtex]
  
  

  @inproceedings{Zhang:Xu:Kawarabayashi:Jegelka:Boyd-Graber-2019,
  	Author = {Mozhi Zhang and Keyulu Xu and Ken-ichi Kawarabayashi and Stefanie Jegelka and Jordan Boyd-Graber},
  	Title = {Are Girls Neko or Sh{\=o}jo? {C}ross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization},
  	Booktitle = {Association for Computational Linguistics},
  	Year = {2019},
  	Location = {Florence, Italy},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2019_acl_clwe.pdf},
  }
  

• Weiwei Yang, Jordan Boyd-Graber, and Philip Resnik. A Multilingual Topic Model for Learning Weighted Topic Links Across Incomparable Corpora. Empirical Methods in Natural Language Processing, 2019. [Bibtex]
  
  

  @inproceedings{Yang:Boyd-Graber:Resnik-2019,
  	Title = {A Multilingual Topic Model for Learning Weighted Topic Links Across Incomparable Corpora},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Year = {2019},
  	Location = {Hong Kong, China},
  	Author = {Weiwei Yang and Jordan Boyd-Graber and Philip Resnik},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2019_emnlp_mtm.pdf},
  }
  

• Shi Feng and Jordan Boyd-Graber. What AI can do for me: Evaluating Machine Learning Interpretations in Cooperative Play. Intelligent User Interfaces, 2019. [Bibtex]
  
  

  @inproceedings{Feng:Boyd-Graber-2019,
  	Title = {What AI can do for me: Evaluating Machine Learning Interpretations in Cooperative Play},
  	Author = {Shi Feng and Jordan Boyd-Graber},
  	Booktitle = {Intelligent User Interfaces},
  	Year = {2019},
  	Location = {Los Angeles, CA},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2019_iui_augment.pdf},
  }
  

  
  
• Shi Feng, Eric Wallace, and Jordan Boyd-Graber. Interpreting Neural Networks with Nearest Neighbors. EMNLP Workshop on BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2018. [Bibtex]
  
  

  @inproceedings{Feng:Wallace:Boyd-Graber-2018,
  	Title = {Interpreting Neural Networks with Nearest Neighbors},
  	Author = {Shi Feng and Eric Wallace and Jordan Boyd-Graber},
  	Booktitle = {EMNLP Workshop on BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP},
  	Year = {2018},
  	Location = {Brussels, Belgium},
  	Url = {http://aclweb.org/anthology/W18-5416},
  }
  

• Shi Feng, Eric Wallace, Alvin Grissom II, Pedro Rodriguez, Mohit Iyyer, and Jordan Boyd-Graber. Pathologies of Neural Models Make Interpretation Difficult. Empirical Methods in Natural Language Processing, 2018. [Blog Post] [Bibtex]
  
  

  @inproceedings{Feng:Wallace:II:Rodriguez:Iyyer:Boyd-Graber-2018,
  	Title = {Pathologies of Neural Models Make Interpretation Difficult},
  	Author = {Shi Feng and Eric Wallace and Alvin Grissom II and Pedro Rodriguez and Mohit Iyyer and Jordan Boyd-Graber},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Year = {2018},
  	Location = {Brussels, Belgium},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2018_emnlp_rs.pdf},
  }
  

  
  
• Michelle Yuan, Benjamin Van Durme, and Jordan Boyd-Graber. Multilingual Anchoring: Interactive Topic Modeling and Alignment Across Languages. Neural Information Processing Systems, 2018. [Code] [Bibtex]
  
  

  @inproceedings{Yuan:Van-Durme:Boyd-Graber-2018,
  	Title = {Multilingual Anchoring: Interactive Topic Modeling and Alignment  Across Languages},
  	Author = {Michelle Yuan and Benjamin {Van Durme} and Jordan Boyd-Graber},
  	Booktitle = {Neural Information Processing Systems},
  	Year = {2018},
  	Location = {Montreal, Quebec},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2018_neurips_mtanchor.pdf},
  }
  

  
  
• Shudong Hao, Michael J. Paul, and Jordan Boyd-Graber. Lessons from the Bible on Modern Topics: Multilingual Topic Model Evaluation on Low-Resource Languages. North American Association for Computational Linguistics, 2018. [Bibtex]
  
  

  @inproceedings{Hao:Paul:Boyd-Graber-2018,
  	Title = {Lessons from the Bible on Modern Topics: Multilingual Topic Model Evaluation on Low-Resource Languages},
  	Author = {Shudong Hao and Michael J. Paul and Jordan Boyd-Graber},
  	Booktitle = {North American Association for Computational Linguistics},
  	Year = {2018},
  	Location = {New Orleans, LA},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2018_naacl_mltm_eval.pdf},
  }
  

  
  
• Weiwei Yang, Jordan Boyd-Graber, and Philip Resnik. Adapting Topic Models using Lexical Associations with Tree Priors. Empirical Methods in Natural Language Processing, 2017. [Bibtex]
  
  

  @inproceedings{Yang:Boyd-Graber:Resnik-2017,
  	Title = {Adapting Topic Models using Lexical Associations with Tree Priors},
  	Author = {Weiwei Yang and Jordan Boyd-Graber and Philip Resnik},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Year = {2017},
  	Location = {Copenhagen, Denmark},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2017_emnlp_tree_prior.pdf},
  }
  

• Weiwei Yang, Jordan Boyd-Graber, and Philip Resnik. A Discriminative Topic Model using Document Network Structure. Association for Computational Linguistics, 2016. [Supplement] [Bibtex]
  
  

  @inproceedings{Yang:Boyd-Graber:Resnik-2016,
  	Title = {A Discriminative Topic Model using Document Network Structure},
  	Author = {Weiwei Yang and Jordan Boyd-Graber and Philip Resnik},
  	Booktitle = {Association for Computational Linguistics},
  	Year = {2016},
  	Location = {Berlin, Brandenburg},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2016_acl_docblock.pdf},
  }
  

  
  
• Weiwei Yang, Jordan Boyd-Graber, and Philip Resnik. Birds of a Feather in the Same Nest: A Discriminative Topic Model using Block-based Priors. Mid-Atlantic Student Colloquium on Speech, Language, and Learning, 2016. [Bibtex]
  
  

  @inproceedings{Yang:Boyd-Graber:Resnik-2016,
  	Title = {Birds of a Feather in the Same Nest: A Discriminative Topic Model using Block-based Priors},
  	Author = {Weiwei Yang and Jordan Boyd-Graber and Philip Resnik},
  	Booktitle = {Mid-Atlantic Student Colloquium on Speech, Language, and Learning},
  	Year = {2016},
  	Location = {Philadephia},
  }
  

• Weiwei Yang, Jordan Boyd-Graber, and Philip Resnik. Birds of a Feather Linked Together: A Discriminative Topic Model using Link-based Priors. Empirical Methods in Natural Language Processing, 2015. [Bibtex]
  
  

  @inproceedings{Yang:Boyd-Graber:Resnik-2015,
  	Title = {Birds of a Feather Linked Together: A Discriminative Topic Model using Link-based Priors},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2015_emnlp_hinge_link.pdf},
  	Author = {Weiwei Yang and Jordan Boyd-Graber and Philip Resnik},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Year = {2015},
  	Location = {Lisbon, Portugal},
  }
  

Scaling Insight

• Aaron Gerow, Yuening Hu, Jordan Boyd-Graber, David M. Blei, and James A. Evans. Measuring Discursive Influence Across Scholarship. Proceedings of the National Academies of Science, 2018. [Journal] [Bibtex]
  
  

  @article{Gerow:Hu:Boyd-Graber:Blei:Evans-2018,
  	Title = {Measuring Discursive Influence Across Scholarship},
  	Author = {Aaron Gerow and Yuening Hu and Jordan Boyd-Graber and David M. Blei and James A. Evans},
  	Journal = {Proceedings of the National Academies of Science},
  	Year = {2018},
  }
  

• You Lu, Jeff Lund, and Jordan Boyd-Graber. Why ADAGRAD Fails for Online Topic Modeling. Empirical Methods in Natural Language Processing, 2017. [Bibtex]
  
  

  @inproceedings{Lu:Lund:Boyd-Graber-2017,
  	Title = {Why ADAGRAD Fails for Online Topic Modeling},
  	Author = {You Lu and Jeff Lund and Jordan Boyd-Graber},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2017_emnlp_adagrad_olda.pdf},
  	Year = {2017},
  	Location = {Copenhagen, Denmark},
  }
  

• Forough Poursabzi-Sangdeh, Jordan Boyd-Graber, Leah Findlater, and Kevin Seppi. ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling. Association for Computational Linguistics, 2016. [Code] [Bibtex]
  
  

  @inproceedings{Poursabzi-Sangdeh:Boyd-Graber:Findlater:Seppi-2016,
  	Title = {ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling},
  	Author = {Forough Poursabzi-Sangdeh and Jordan Boyd-Graber and Leah Findlater and Kevin Seppi},
  	Booktitle = {Association for Computational Linguistics},
  	Year = {2016},
  	Location = {Berlin, Brandenburg},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2016_acl_doclabel.pdf},
  }
  

• Evgeny Klochikhin and Jordan Boyd-Graber. Text Analysis. Big Data and Social Science Research: Theory and Practical Approaches, 2016. [Bibtex]
  
  

  @inbook{Klochikhin:Boyd-Graber-2016,
  	Editor = {Julia Lane and Ian Foster and Rayid Ghani and Ron Jarmin and Frauke Kreuter},
  	Title = {Text Analysis},
  	Author = {Evgeny Klochikhin and Jordan Boyd-Graber},
  	Booktitle = {Big Data and Social Science Research: Theory and Practical Approaches},
  	Publisher = {Taylor Francis},
  	Year = {2016},
  }
  

• Forough Poursabzi-Sangdeh and Jordan Boyd-Graber. Speeding Document Annotation with Topic Models. NAACL Student Research Workshop, 2015. [Bibtex]
  
  

  @inproceedings{Poursabzi-Sangdeh:Boyd-Graber-2015,
  	Title = {Speeding Document Annotation with Topic Models},
  	Author = {Forough Poursabzi-Sangdeh and Jordan Boyd-Graber},
  	Booktitle = {NAACL Student Research Workshop},
  	Year = {2015},
  	Location = {Denver, CO},
  }
  

Thinking on Your Feet

• Mohit Iyyer, Varun Manjunatha, Anupam Guha, Yogarshi Vyas, Jordan Boyd-Graber, Hal Daumé III, and Larry Davis. The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives. Computer Vision and Pattern Recognition, 2017. [Code/Data] [Bibtex]
  
  

  @inproceedings{Iyyer:Manjunatha:Guha:Vyas:Boyd-Graber:Daume-III:Davis-2017,
  	Title = {The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives},
  	Author = {Mohit Iyyer and Varun Manjunatha and Anupam Guha and Yogarshi Vyas and Jordan Boyd-Graber and Hal {Daum\'{e} III} and Larry Davis},
  	Booktitle = {Computer Vision and Pattern Recognition},
  	Year = {2017},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2017_cvpr_comics.pdf},
  }
  

• Khanh Nguyen, Jordan Boyd-Graber, and Hal Daumé III. Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback. Empirical Methods in Natural Language Processing, 2017. [Code] [Bibtex]
  
  

  @inproceedings{Nguyen:Boyd-Graber:Daume-III-2017,
  	Title = {Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback},
  	Author = {Khanh Nguyen and Jordan Boyd-Graber and Hal {Daum\'{e} III}},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Year = {2017},
  	Location = {Copenhagen, Denmark},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2017_emnlp_bandit_mt.pdf},
  }
  

• Alvin Grissom II, Naho Orita, and Jordan Boyd-Graber. Incremental Prediction of Sentence-final Verbs. Conference on Computational Natural Language Learning, 2016. [Bibtex]
  
  

  @inproceedings{Grissom-II:Orita:Boyd-Graber-2016,
  	Title = {Incremental Prediction of Sentence-final Verbs},
  	Author = {Alvin {Grissom II} and Naho Orita and Jordan Boyd-Graber},
  	Booktitle = {Conference on Computational Natural Language Learning},
  	Year = {2016},
  	Location = {Berlin, Germany},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2016_conll_verbpred.pdf},
  }
  

  
  
• He He, Jordan Boyd-Graber, Kevin Kwok, and Hal Daumé III. Opponent Modeling in Deep Reinforcement Learning. International Conference on Machine Learning, 2016. [Video] [Bibtex]
  
  

  @inproceedings{He:Boyd-Graber:Kwok:Daume-III-2016,
  	Title = {Opponent Modeling in Deep Reinforcement Learning},
  	Author = {He He and Jordan Boyd-Graber and Kevin Kwok and Hal {Daum\'{e} III}},
  	Booktitle = {International Conference on Machine Learning},
  	Year = {2016},
  	Location = {New York, NY},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2016_icml_opponent.pdf},
  }
  

• Anupam Guha, Mohit Iyyer, and Jordan Boyd-Graber. A Distorted Skull Lies in the Bottom Center: Identifying Paintings from Text Descriptions. NAACL Human-Computer Question Answering Workshop, 2016. [Data] [Bibtex]
  
  

  @inproceedings{Guha:Iyyer:Boyd-Graber-2016,
  	Title = {A Distorted Skull Lies in the Bottom Center: Identifying Paintings from Text Descriptions},
  	Author = {Anupam Guha and Mohit Iyyer and Jordan Boyd-Graber},
  	Booktitle = {NAACL Human-Computer Question Answering Workshop},
  	Year = {2016},
  	Location = {San Diego, CA},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2016_naacl_paintings.pdf},
  }
  

• Mohit Iyyer, Anupam Guha, Snigdha Chaturvedi, Jordan Boyd-Graber, and Hal Daumé III. Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships. North American Association for Computational Linguistics, 2016. [Code/Data] [Bibtex]
  
  

  @inproceedings{Iyyer:Guha:Chaturvedi:Boyd-Graber:Daume-III-2016,
  	Title = {Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships},
  	Author = {Mohit Iyyer and Anupam Guha and Snigdha Chaturvedi and Jordan Boyd-Graber and Hal {Daum\'{e} III}},
  	Booktitle = {North American Association for Computational Linguistics},
  	Year = {2016},
  	Location = {San Diego, CA},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2016_naacl_relationships.pdf},
  }
  

  Best paper award (2 out of 1592)
  
• He He, Jordan Boyd-Graber, and Hal Daumé III. Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation. North American Association for Computational Linguistics, 2016. [Talk] [Bibtex]
  
  

  @inproceedings{He:Boyd-Graber:Daume-III-2016,
  	Title = {Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation},
  	Author = {He He and Jordan Boyd-Graber and Hal {Daum\'{e} III}},
  	Booktitle = {North American Association for Computational Linguistics},
  	Year = {2016},
  	Location = {San Diego, CA},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2016_naacl_interpretese.pdf},
  }
  

  
  
• Mohit Iyyer, Varun Manjunatha, Jordan Boyd-Graber, and Hal Daumé III. Deep Unordered Composition Rivals Syntactic Methods for Text Classification. Association for Computational Linguistics, 2015. [Slides] [Code] [Talk] [Bibtex]
  
  

  @inproceedings{Iyyer:Manjunatha:Boyd-Graber:Daume-III-2015,
  	Title = {Deep Unordered Composition Rivals Syntactic Methods for Text Classification},
  	Author = {Mohit Iyyer and Varun Manjunatha and Jordan Boyd-Graber and Hal {Daum\'{e} III}},
  	Booktitle = {Association for Computational Linguistics},
  	Year = {2015},
  	Location = {Beijing, China},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2015_acl_dan.pdf},
  }
  

  
  
• Vlad Niculae, Srijan Kumar, Jordan Boyd-Graber, and Cristian Danescu-Niculescu-Mizil. Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game. Association for Computational Linguistics, 2015. [Code/Data] [Bibtex]
  
  

  @inproceedings{Niculae:Kumar:Boyd-Graber:Danescu-Niculescu-Mizil-2015,
  	Title = {Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game},
  	Author = {Vlad Niculae and Srijan Kumar and Jordan Boyd-Graber and Cristian Danescu-Niculescu-Mizil},
  	Booktitle = {Association for Computational Linguistics},
  	Year = {2015},
  	Location = {Beijing, China},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2015_acl_diplomacy.pdf},
  }
  

  
  
• He He, Alvin Grissom II, Jordan Boyd-Graber, and Hal Daumé III. Syntax-based Rewriting for Simultaneous Machine Translation. Empirical Methods in Natural Language Processing, 2015. [Bibtex]
  
  

  @inproceedings{He:Grissom-II:Boyd-Graber:Daume-III-2015,
  	Title = {Syntax-based Rewriting for Simultaneous Machine Translation},
  	Author = {He He and Alvin {Grissom II} and Jordan Boyd-Graber and Hal {Daum\'{e} III}},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Year = {2015},
  	Location = {Lisbon, Portugal},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2015_emnlp_rewrite.pdf},
  }
  

  
  
• Jordan Boyd-Graber, Mohit Iyyer, He He, and Hal Daumé III. Interactive Incremental Question Answering. Neural Information Processing Systems, 2015. [Bibtex]
  
  

  @inproceedings{Boyd-Graber:Iyyer:He:Daume-III-2015,
  	Title = {Interactive Incremental Question Answering},
  	Author = {Jordan Boyd-Graber and Mohit Iyyer and He He and Hal {Daum\'{e} III}},
  	Booktitle = {Neural Information Processing Systems},
  	Year = {2015},
  	Location = {Montreal, Canada},
  }
  

  This won the best demonstration award at NIPS 2015
• Anupam Guha, Mohit Iyyer, Danny Bouman, and Jordan Boyd-Graber. Removing the Training Wheels: A Coreference Dataset that Entertains Humans and Challenges Computers. North American Association for Computational Linguistics, 2015. [Code/Data] [Slides] [Video] [LaTeX] [Bibtex]
  
  

  @inproceedings{Guha:Iyyer:Bouman:Boyd-Graber-2015,
  	Title = {Removing the Training Wheels: A Coreference Dataset that Entertains Humans and Challenges Computers},
  	Author = {Anupam Guha and Mohit Iyyer and Danny Bouman and Jordan Boyd-Graber},
  	Booktitle = {North American Association for Computational Linguistics},
  	Year = {2015},
  	Location = {Denver, Colorado},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2015_naacl_qb_coref.pdf},
  }
  

  
  
• Mohit Iyyer, Jordan Boyd-Graber, Leonardo Claudino, Richard Socher, and Hal Daumé III. A Neural Network for Factoid Question Answering over Paragraphs. Empirical Methods in Natural Language Processing, 2014. [Code/Data] [Bibtex]
  
  

  @inproceedings{Iyyer:Boyd-Graber:Claudino:Socher:Daume-III-2014,
  	Title = {A Neural Network for Factoid Question Answering over Paragraphs},
  	Author = {Mohit Iyyer and Jordan Boyd-Graber and Leonardo Claudino and Richard Socher and Hal {Daum\'{e} III}},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Year = {2014},
  	Location = {Doha, Qatar},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2014_emnlp_qb_rnn.pdf},
  }
  

  The partial derivatives of "C" and "J" with respect to the parameters should be switched in Equation 7.
• Alvin Grissom II, He He, Jordan Boyd-Graber, John Morgan, and Hal Daumé III. Don't Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation. Empirical Methods in Natural Language Processing, 2014. [Talk] [Bibtex]
  
  

  @inproceedings{Grissom-II:He:Boyd-Graber:Morgan:Daume-III-2014,
  	Title = {Don't Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation},
  	Author = {Alvin {Grissom II} and He He and Jordan Boyd-Graber and John Morgan and Hal {Daum\'{e} III}},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Year = {2014},
  	Location = {Doha, Qatar},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2014_emnlp_simtrans.pdf},
  }
  

  
  
• Mohit Iyyer, Jordan Boyd-Graber, and Hal Daumé III. Generating Sentences from Semantic Vector Space Representations. NIPS Workshop on Learning Semantics, 2014. [Bibtex]
  
  

  @inproceedings{Iyyer:Boyd-Graber:Daume-III-2014,
  	Title = {Generating Sentences from Semantic Vector Space Representations},
  	Author = {Mohit Iyyer and Jordan Boyd-Graber and Hal {Daum\'{e} III}},
  	Booktitle = {NIPS Workshop on Learning Semantics},
  	Year = {2014},
  	Location = {Montreal, Canada},
  }
  

• Jordan Boyd-Graber, Brianna Satinoff, He He, and Hal Daumé III. Besting the Quiz Master: Crowdsourcing Incremental Classification Games. Empirical Methods in Natural Language Processing, 2012. [Presentation] [Data] [Bibtex]
  
  

  @inproceedings{Boyd-Graber:Satinoff:He:Daume-III-2012,
  	Title = {Besting the Quiz Master: Crowdsourcing Incremental Classification Games},
  	Author = {Jordan Boyd-Graber and Brianna Satinoff and He He and Hal {Daum\'{e} III}},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Year = {2012},
  	Url = {http://umiacs.umd.edu/~jbg//docs/qb_emnlp_2012.pdf},
  	Location = {Jeju, South Korea},
  }
  

  
  

 

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Page by Jordan Boyd-Graber. Last modified: 2020-08-18