Jordan Boyd-Graber

Jordan Boyd-Graber
AVW 3155
University of Maryland

---

jbg@umiacs.umd.edu

Pubs (Venue)

Sort by: Year Category Authors Venue Project

Book

• Jordan Boyd-Graber, Yuening Hu, and David Mimno. Applications of Topic Models. 2017. [Preprint] [Bibtex]
  
  

  @book{Boyd-Graber:Hu:Mimno-2017,
  	Publisher = {NOW Publishers},
  	Title = {Applications of Topic Models},
  	Url = {http://www.nowpublishers.com/article/Details/INR-030},
  	Series = {Foundations and Trends in Information Retrieval},
  	Author = {Jordan Boyd-Graber and Yuening Hu and David Mimno},
  	Number = {2--3},
  	Volume = {11},
  	Year = {2017},
  	Editor = {Doug Oard},
  }
  

Chapter

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

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

• Jordan Boyd-Graber, David Mimno, and David Newman. Care and Feeding of Topic Models: Problems, Diagnostics, and Improvements. Handbook of Mixed Membership Models and Their Applications, 2014. [Bibtex]
  
  

  @inbook{Boyd-Graber:Mimno:Newman-2014,
  	Publisher = {CRC Press},
  	Address = {Boca Raton, Florida},
  	Title = {Care and Feeding of Topic Models: Problems, Diagnostics, and Improvements},
  	Url = {docs/2014_book_chapter_care_and_feeding.pdf},
  	Series = {CRC Handbooks of Modern Statistical Methods},
  	Booktitle = {Handbook of Mixed Membership Models and Their Applications},
  	Author = {Jordan Boyd-Graber and David Mimno and David Newman},
  	Year = {2014},
  	Editor = {Edoardo M. Airoldi and David Blei and Elena A. Erosheva and Stephen E. Fienberg},
  }
  

• Sonya S. Nikolova, Jordan Boyd-Graber, and Christiane Fellbaum. Collecting Semantic Similarity Ratings to Connect Concepts in Assistive Communication Tools. Modeling, Learning and Processing of Text Technological Data Structures, 2011. [Ratings] [Bibtex]
  
  

  @inbook{Nikolova:Boyd-Graber:Fellbaum-2011,
  	Publisher = {Springer Verlag},
  	Address = {Heidelberg},
  	Title = {Collecting Semantic Similarity Ratings to Connect Concepts in Assistive Communication Tools},
  	Url = {docs/2011_book_chapter_evocation.pdf},
  	Series = {Studies in Computational Intelligence},
  	Booktitle = {Modeling, Learning and Processing of Text Technological Data Structures},
  	Author = {Sonya S. Nikolova and Jordan Boyd-Graber and Christiane Fellbaum},
  	Year = {2011},
  	Editor = {Angelika Storrer},
  }
  

Journal

• 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,
  	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},
  	Title = {Measuring Discursive Influence Across Scholarship},
  }
  

• 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},
  	Url = {docs/2017_ijhcs_human_touch.pdf},
  	Journal = {International Journal of Human-Computer Studies},
  	Year = {2017},
  	Title = {The Human Touch: How Non-expert Users Perceive, Interpret, and Fix Topic Models},
  	Abstract = {Topic modeling is a common tool for understanding large bodies of text, but is typically provided as a “take it or leave it” proposition. Incorporating human knowledge in unsupervised learning is a promising approach to create high-quality topic models. Existing interactive systems and modeling algorithms support a wide range of refinement operations to express feedback. However, these systems’ interactions are primarily driven by algorithmic convenience, ignoring users who may lack expertise in topic modeling. To better understand how non-expert users understand, assess, and refine topics, we conduct two user studies—an in-person interview study and an online crowdsourced study. These studies demonstrate a disconnect between what non-expert users want and the complex, low-level operations that current interactive systems support. In particular, our findings include: (1) analysis of how non-expert users perceive topic models; (2) characterization of primary refinement operations expected by non-expert users and ordered by relative preference; (3) further evidence of the benefits of supporting users in directly refining a topic model; (4) design implications for future human-in-the-loop topic modeling interfaces.},
  }
  

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

  @article{Boyd-Graber-2017,
  	Volume = {47},
  	Author = {Jordan Boyd-Graber},
  	Journal = {The Bridge},
  	Year = {2017},
  	Title = {Humans and Computers Working Together to Measure Machine Learning Interpretability},
  	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,
  	Volume = {5},
  	Author = {Alison Smith and Tak Yeon Lee and Forough Poursabzi-Sangdeh and Jordan Boyd-Graber and Kevin Seppi and Niklas Elmqvist and Leah Findlater},
  	Url = {docs/2017_tacl_eval_tm_viz.pdf},
  	Journal = {Transactions of the Association for Computational Linguistics},
  	Year = {2017},
  	Pages = {1--15},
  	Title = {Evaluating Visual Representations for Topic Understanding and Their Effects on Manually Generated Labels},
  	Abstract = {Probabilistic topic models are important tools for indexing, summarizing, and analyzing large document collections by their themes.  However, promoting end-user understanding of topics remains an open research problem.  We compare labels generated by users given four topic visualization techniques—word lists, word lists with bars, word clouds, and network graphs—against each other and against automatically generated labels.  Our basis of comparison is participant ratings of how well labels describe documents from the topic. Our study has two phases: a labeling phase where participants label visualized topics and a validation phase where different participants select which labels best describe the topics' documents.  Although all visualizations produce similar quality labels, simple visualizations such as word lists allow participants to quickly understand topics, while complex visualizations take longer but expose multi-word expressions that simpler visualizations obscure.  Automatic labels lag behind user-created labels, but our dataset of manually labeled topics highlights linguistic patterns (e.g., hypernyms, phrases) that can be used to improve automatic topic labeling algorithms.},
  }
  

• 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,
  	Publisher = {Springer},
  	Author = {Yuening Hu and Jordan Boyd-Graber and Brianna Satinoff and Alison Smith},
  	Url = {docs/2014_mlj_itm.pdf},
  	Journal = {Machine Learning},
  	Title = {Interactive Topic Modeling},
  	Volume = {95},
  	Year = {2014},
  	Pages = {423--469},
  }
  

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

• 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,
  	Publisher = {Association for Computational Linguistics},
  	Author = {Ke Zhai and Jordan Boyd-Graber and Shay B. Cohen},
  	Url = {docs/2014_tacl_ag_vb_online.pdf},
  	Journal = {Transactions of the Association for Computational Linguistics},
  	Year = {2014},
  	Title = {Online Adaptor Grammars with Hybrid Inference},
  }
  

• 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,
  	Author = {Viet-An Nguyen and Jordan Boyd-Graber and Stephen Altschul},
  	Url = {docs/2013_dp_protein.pdf},
  	Journal = {Journal of Computational Biology},
  	Number = {1},
  	Volume = {20},
  	Year = {2013},
  	Title = {Dirichlet Mixtures, the Dirichlet Process, and the Structure of Protein Space},
  }
  

• Alexander Geyken and Jordan Boyd-Graber. Automatic classification of multi-word expressions in print dictionaries. Linguisticae Investigationes, 2003. [Bibtex]
  
  

  @article{Geyken:Boyd-Graber-2003,
  	Author = {Alexander Geyken and Jordan Boyd-Graber},
  	Url = {docs/idioms.pdf},
  	Journal = {Linguisticae Investigationes},
  	Title = {Automatic classification of multi-word expressions in print dictionaries},
  	Number = {2},
  	Volume = {26},
  	Year = {2003},
  }
  

Refereed Conference

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

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

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

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

  
  
• 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},
  	Url = {docs/2018_iui_itm.pdf},
  	Booktitle = {Intelligent User Interfaces},
  	Year = {2018},
  	Title = {User-Centered Design and Evaluation of a Human-in-the-Loop Topic Modeling System},
  }
  

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

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

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

  
  
• 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,
  	Author = {Mohit Iyyer and Varun Manjunatha and Jordan Boyd-Graber and Larry Davis},
  	Url = {docs/2018_naacl_colorization.pdf},
  	Booktitle = {North American Association of Computational Linguistics},
  	Year = {2018},
  	Title = {Learning to Color from Language},
  }
  

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

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

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

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

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

• 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,
  	Author = {Weiwei Yang and Jordan Boyd-Graber and Philip Resnik},
  	Url = {docs/2016_acl_docblock.pdf},
  	Booktitle = {Association for Computational Linguistics},
  	Location = {Berlin, Brandenburg},
  	Year = {2016},
  	Title = {A Discriminative Topic Model using Document Network Structure},
  }
  

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

• Hadi Amiri, Philip Resnik, Jordan Boyd-Graber, and Hal Daumé III. Learning Text Pair Similarity with Context-sensitive Autoencoders. Association for Computational Linguistics, 2016. [Code] [Bibtex]
  
  

  @inproceedings{Amiri:Resnik:Boyd-Graber:Daume-III-2016,
  	Author = {Hadi Amiri and Philip Resnik and Jordan Boyd-Graber and Hal {Daum\'{e} III}},
  	Url = {docs/2016_acl_context_ae.pdf},
  	Booktitle = {Association for Computational Linguistics},
  	Location = {Berlin, Brandenburg},
  	Year = {2016},
  	Title = {Learning Text Pair Similarity with Context-sensitive Autoencoders},
  }
  

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

  
  
• 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,
  	Author = {He He and Jordan Boyd-Graber and Kevin Kwok and Hal {Daum\'{e} III}},
  	Url = {docs/2016_icml_opponent.pdf},
  	Booktitle = {International Conference on Machine Learning},
  	Location = {New York, NY},
  	Year = {2016},
  	Title = {Opponent Modeling in Deep Reinforcement Learning},
  }
  

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

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

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

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

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

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

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

  This paper received the best paper award at CoNLL
  
• 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,
  	Author = {Weiwei Yang and Jordan Boyd-Graber and Philip Resnik},
  	Url = {docs/2015_emnlp_hinge_link.pdf},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Title = {Birds of a Feather Linked Together: A Discriminative Topic Model using Link-based Priors},
  	Year = {2015},
  	Location = {Lisbon, Portugal},
  }
  

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

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

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

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

  This won the best demonstration award at NIPS 2015
• 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,
  	Author = {Thang Nguyen and Jordan Boyd-Graber and Jeff Lund and Kevin Seppi and Eric Ringger},
  	Url = {docs/2015_naacl_supervised_anchor.pdf},
  	Booktitle = {North American Association for Computational Linguistics},
  	Location = {Denver, Colorado},
  	Year = {2015},
  	Title = {Is your anchor going up or down?  {F}ast and accurate supervised topic models},
  }
  

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

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

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

• Yuening Hu, Ke Zhai, Vlad Eidelman, and Jordan Boyd-Graber. Polylingual Tree-Based Topic Models for Translation Domain Adaptation. Association for Computational Linguistics, 2014. [Code] [Bibtex]
  
  

  @inproceedings{Hu:Zhai:Eidelman:Boyd-Graber-2014,
  	Author = {Yuening Hu and Ke Zhai and Vlad Eidelman and Jordan Boyd-Graber},
  	Url = {docs/2014_acl_ptlda_mt.pdf},
  	Booktitle = {Association for Computational Linguistics},
  	Location = {Baltimore, MD},
  	Year = {2014},
  	Title = {Polylingual Tree-Based Topic Models for Translation Domain Adaptation},
  }
  

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

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

  
  
• Viet-An Nguyen, Jordan Boyd-Graber, and Philip Resnik. Sometimes Average is Best: The Importance of Averaging for Prediction using MCMC Inference in Topic Modeling. Empirical Methods in Natural Language Processing, 2014. [Bibtex]
  
  

  @inproceedings{Nguyen:Boyd-Graber:Resnik-2014,
  	Author = {Viet-An Nguyen and Jordan Boyd-Graber and Philip Resnik},
  	Url = {docs/2014_emnlp_howto_gibbs.pdf},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Location = {Doha, Qatar},
  	Year = {2014},
  	Title = {Sometimes Average is Best: The Importance of Averaging for Prediction using MCMC Inference in Topic Modeling},
  }
  

• Viet-An Nguyen, Jordan Boyd-Graber, Philip Resnik, and Jonathan Chang. Learning a Concept Hierarchy from Multi-labeled Documents. Neural Information Processing Systems, 2014. [Code] [Bibtex]
  
  

  @inproceedings{Nguyen:Boyd-Graber:Resnik:Chang-2014,
  	Author = {Viet-An Nguyen and Jordan Boyd-Graber and Philip Resnik and Jonathan Chang},
  	Url = {docs/2014_nips_l2h.pdf},
  	Booktitle = {Neural Information Processing Systems},
  	Location = {Montreal, Canada},
  	Year = {2014},
  	Title = {Learning a Concept Hierarchy from Multi-labeled Documents},
  }
  

• Kimberly Glasgow, Clay Fink, and Jordan Boyd-Graber. Our grief is unspeakable: Measuring the community impact of a tragedy. The International AAAI Conference on Weblogs and Social Media, 2014. [Bibtex]
  
  

  @inproceedings{Glasgow:Fink:Boyd-Graber-2014,
  	Author = {Kimberly Glasgow and Clay Fink and Jordan Boyd-Graber},
  	Url = {docs/2014_icwsm_grief.pdf},
  	Booktitle = {The International AAAI Conference on Weblogs and Social Media},
  	Location = {Ann Arbor},
  	Year = {2014},
  	Title = {Our grief is unspeakable: Measuring the community impact of a tragedy},
  }
  

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

• 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,
  	Author = {Ke Zhai and Jordan Boyd-Graber},
  	Url = {docs/2013_icml_infvoc.pdf},
  	Booktitle = {International Conference on Machine Learning},
  	Year = {2013},
  	Title = {Online Topic Models with Infinite Vocabulary},
  }
  

• 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,
  	Author = {Yuening Hu and Jordan Boyd-Graber and Hal {Daum\'{e} III} and Z. Irene Ying},
  	Url = {docs/2013_coalescent.pdf},
  	Booktitle = {Neural Information Processing Systems},
  	Title = {Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent},
  	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,
  	Author = {Viet-An Nguyen and Jordan Boyd-Graber and Philip Resnik},
  	Url = {docs/2013_shlda.pdf},
  	Booktitle = {Neural Information Processing Systems},
  	Title = {Lexical and Hierarchical Topic Regression},
  	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,
  	Author = {Viet-An Nguyen and Yuening Hu and Jordan Boyd-Graber and Philip Resnik},
  	Url = {docs/2013_argviz.pdf},
  	Booktitle = {North American Association for Computational Linguistics},
  	Location = {Atlanta Georgia},
  	Year = {2013},
  	Title = {Argviz: Interactive Visualization of Topic Dynamics in Multi-party Conversations},
  }
  

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

• 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,
  	Author = {Ke Zhai and Jordan Boyd-Graber and Nima Asadi and Mohamad Alkhouja},
  	Url = {docs/mrlda.pdf},
  	Booktitle = {ACM International Conference on World Wide Web},
  	Title = {{Mr. LDA}: A Flexible Large Scale Topic Modeling Package using Variational Inference in MapReduce},
  	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,
  	Author = {Yuening Hu and Jordan Boyd-Graber},
  	Url = {docs/acl_2012_fttm.pdf},
  	Booktitle = {Association for Computational Linguistics},
  	Location = {Jeju, South Korea},
  	Year = {2012},
  	Title = {Efficient Tree-Based Topic Modeling},
  }
  

• 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,
  	Author = {Vladimir Eidelman and Jordan Boyd-Graber and Philip Resnik},
  	Url = {docs/acl_2012_tm_for_mt.pdf},
  	Booktitle = {Association for Computational Linguistics},
  	Location = {Jeju, South Korea},
  	Year = {2012},
  	Title = {Topic Models for Dynamic Translation Model Adaptation},
  }
  

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

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

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

  
  
• Asad B. Sayeed, Jordan Boyd-Graber, Bryan Rusk, and Amy Weinberg. Grammatical structures for word-level sentiment detection. North American Association of Computational Linguistics, 2012. [Data] [Bibtex]
  
  

  @inproceedings{Sayeed:Boyd-Graber:Rusk:Weinberg-2012,
  	Author = {Asad B. Sayeed and Jordan Boyd-Graber and Bryan Rusk and Amy Weinberg},
  	Url = {docs/srt_naacl_2012.pdf},
  	Booktitle = {North American Association of Computational Linguistics},
  	Location = {Montreal, CA},
  	Year = {2012},
  	Title = {Grammatical structures for word-level sentiment detection},
  }
  

• 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,
  	Author = {Yuening Hu and Jordan Boyd-Graber and Brianna Satinoff},
  	Url = {docs/itm.pdf},
  	Booktitle = {Association for Computational Linguistics},
  	Location = {Portland, Oregon},
  	Year = {2011},
  	Title = {Interactive Topic Modeling},
  }
  

• Clay Templeton, Kenneth R. Fleischmann, and Jordan Boyd-Graber. Simulating Audiences: Automating Analysis of Values, Attitudes, and Sentiment. IEEE International Conference on Social Computing, 2011. [Bibtex]
  
  

  @inproceedings{Templeton:Fleischmann:Boyd-Graber-2011,
  	Author = {Clay Templeton and Kenneth R. Fleischmann and Jordan Boyd-Graber},
  	Url = {docs/simulating_audiences.pdf},
  	Booktitle = {IEEE International Conference on Social Computing},
  	Location = {Cambridge, MA},
  	Year = {2011},
  	Title = {Simulating Audiences: Automating Analysis of Values, Attitudes, and Sentiment},
  }
  

• Clay Templeton, Kenneth R. Fleischmann, and Jordan Boyd-Graber. Comparing Values and Sentiment Using Mechanical Turk. iConference, 2011. [Bibtex]
  
  

  @inproceedings{Templeton:Fleischmann:Boyd-Graber-2011,
  	Author = {Clay Templeton and Kenneth R. Fleischmann and Jordan Boyd-Graber},
  	Url = {docs/iconference-2011-comparing.pdf},
  	Booktitle = {iConference},
  	Location = {Seattle, Washington},
  	Year = {2011},
  	Title = {Comparing Values and Sentiment Using Mechanical Turk},
  }
  

• Kenneth R. Fleischmann, Clay Templeton, and Jordan Boyd-Graber. Modeling Diverse Standpoints in Text Classification: Learning to Be Human by Modeling Human Values. iConference, 2011. [Bibtex]
  
  

  @inproceedings{Fleischmann:Templeton:Boyd-Graber-2011,
  	Author = {Kenneth R. Fleischmann and Clay Templeton and Jordan Boyd-Graber},
  	Url = {docs/iconference-2011-learning.pdf},
  	Booktitle = {iConference},
  	Location = {Seattle, Washington},
  	Year = {2011},
  	Title = {Modeling Diverse Standpoints in Text Classification: Learning to Be Human by Modeling Human Values},
  }
  

• Jordan Boyd-Graber and Philip Resnik. Holistic Sentiment Analysis Across Languages: Multilingual Supervised Latent Dirichlet Allocation. Empirical Methods in Natural Language Processing, 2010. [Data] [Bibtex]
  
  

  @inproceedings{Boyd-Graber:Resnik-2010,
  	Author = {Jordan Boyd-Graber and Philip Resnik},
  	Url = {docs/jbg-mlslda-2010.pdf},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Location = {Cambridge, MA},
  	Year = {2010},
  	Title = {Holistic Sentiment Analysis Across Languages: Multilingual Supervised Latent Dirichlet Allocation},
  }
  

• Eric Hardisty, Jordan Boyd-Graber, and Philip Resnik. Modeling Perspective using Adaptor Grammars. Empirical Methods in Natural Language Processing, 2010. [Bibtex]
  
  

  @inproceedings{Hardisty:Boyd-Graber:Resnik-2010,
  	Author = {Eric Hardisty and Jordan Boyd-Graber and Philip Resnik},
  	Url = {docs/adapted_naive_bayes.pdf},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Location = {Cambridge, MA},
  	Year = {2010},
  	Title = {Modeling Perspective using Adaptor Grammars},
  }
  

• Sonya S. Nikolova, Jordan Boyd-Graber, Christiane Fellbaum, and Perry Cook. Better Vocabularies for Assistive Communication Aids: Connecting Terms using Semantic Networks and Untrained Annotators. ACM Conference on Computers and Accessibility, 2009. [Ratings] [Slides] [Bibtex]
  
  

  @inproceedings{Nikolova:Boyd-Graber:Fellbaum:Cook-2009,
  	Title = {Better Vocabularies for Assistive Communication Aids: Connecting Terms using Semantic Networks and Untrained Annotators},
  	Author = {Sonya S. Nikolova and Jordan Boyd-Graber and Christiane Fellbaum and Perry Cook},
  	Booktitle = {ACM Conference on Computers and Accessibility},
  	Year = {2009},
  	Url = {docs/evocation-viva.pdf},
  	Location = {Pittsburgh, PA},
  }
  

• Xiaojuan Ma, Jordan Boyd-Graber, Sonya S. Nikolova, and Perry Cook. Speaking Through Pictures: Images vs. Icons. ACM Conference on Computers and Accessibility, 2009. [Slides] [Bibtex]
  
  

  @inproceedings{Ma:Boyd-Graber:Nikolova:Cook-2009,
  	Author = {Xiaojuan Ma and Jordan Boyd-Graber and Sonya S. Nikolova and Perry Cook},
  	Url = {docs/image_icon.pdf},
  	Booktitle = {ACM Conference on Computers and Accessibility},
  	Location = {Pittsburgh, PA},
  	Year = {2009},
  	Title = {Speaking Through Pictures: Images vs. Icons},
  }
  

• Jonathan Chang, Jordan Boyd-Graber, and David M. Blei. Connections between the Lines: Augmenting Social Networks with Text. Knowledge Discovery and Data Mining, 2009. [Code] [Slides] [Video] [Pie Fight] [Bibtex]
  
  

  @inproceedings{Chang:Boyd-Graber:Blei-2009,
  	Author = {Jonathan Chang and Jordan Boyd-Graber and David M. Blei},
  	Url = {docs/kdd2009.pdf},
  	Booktitle = {Knowledge Discovery and Data Mining},
  	Title = {Connections between the Lines: Augmenting Social Networks with Text},
  	Year = {2009},
  	Location = {Paris, France},
  }
  

• Jonathan Chang, Jordan Boyd-Graber, Chong Wang, Sean Gerrish, and David M. Blei. Reading Tea Leaves: How Humans Interpret Topic Models. Neural Information Processing Systems, 2009. [Data] [Presentation] [Video] [Bibtex]
  
  

  @inproceedings{Chang:Boyd-Graber:Wang:Gerrish:Blei-2009,
  	Author = {Jonathan Chang and Jordan Boyd-Graber and Chong Wang and Sean Gerrish and David M. Blei},
  	Url = {docs/nips2009-rtl.pdf},
  	Booktitle = {Neural Information Processing Systems},
  	Location = {Vancouver, BC},
  	Year = {2009},
  	Title = {Reading Tea Leaves: How Humans Interpret Topic Models},
  }
  

  Jonathan Chang and I shared a NIPS student award honorable mention for this paper (5 out of 1105)
  
• Jordan Boyd-Graber and David M. Blei. Multilingual Topic Models for Unaligned Text. Uncertainty in Artificial Intelligence, 2009. [More Recent Paper] [Bibtex]
  
  

  @inproceedings{Boyd-Graber:Blei-2009,
  	Author = {Jordan Boyd-Graber and David M. Blei},
  	Url = {docs/uai2009.pdf},
  	Booktitle = {Uncertainty in Artificial Intelligence},
  	Location = {Montreal, Quebec},
  	Year = {2009},
  	Title = {Multilingual Topic Models for Unaligned Text},
  }
  

  For coverage of current state-of-the-art in cross-lingual topic models 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.
• Jordan Boyd-Graber and David M. Blei. Syntactic Topic Models. Neural Information Processing Systems, 2008. [Presentation] [Extended Version] [Bibtex]
  
  

  @inproceedings{Boyd-Graber:Blei-2008,
  	Author = {Jordan Boyd-Graber and David M. Blei},
  	Url = {docs/nips2008.pdf},
  	Booktitle = {Neural Information Processing Systems},
  	Location = {Vancouver, British Columbia},
  	Year = {2008},
  	Title = {Syntactic Topic Models},
  }
  

• Jordan Boyd-Graber, David M. Blei, and Xiaojin Zhu. A Topic Model for Word Sense Disambiguation. Empirical Methods in Natural Language Processing, 2007. [Presentation] [Code] [Bibtex]
  
  

  @inproceedings{Boyd-Graber:Blei:Zhu-2007,
  	Author = {Jordan Boyd-Graber and David M. Blei and Xiaojin Zhu},
  	Url = {docs/jbg-EMNLP07.pdf},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Location = {Prague, Czech Republic},
  	Year = {2007},
  	Title = {A Topic Model for Word Sense Disambiguation},
  }
  

• Jordan Boyd-Graber, Sonya S. Nikolova, Karyn A. Moffatt, Kenrick C. Kin, Joshua Y. Lee, Lester W. Mackey, Marilyn M. Tremaine, and Maria M. Klawe. Participatory design with proxies: Developing a desktop-PDA system to support people with aphasia. Computer-Human Interaction, 2006. [Presentation] [Bibtex]
  
  

  @inproceedings{Boyd-Graber:Nikolova:Moffatt:Kin:Lee:Mackey:Tremaine:Klawe-2006,
  	Author = {Jordan Boyd-Graber and Sonya S. Nikolova and Karyn A. Moffatt and Kenrick C. Kin and Joshua Y. Lee and Lester W. Mackey and Marilyn M. Tremaine and Maria M. Klawe},
  	Url = {docs/paper673-boyd-graber.pdf},
  	Booktitle = {Computer-Human Interaction},
  	Location = {Montreal, Quebec},
  	Year = {2006},
  	Title = {Participatory design with proxies: {D}eveloping a desktop-{PDA} system to support people with aphasia},
  }
  

• Jordan Boyd-Graber, Christiane Fellbaum, Daniel Osherson, and Robert Schapire. Adding Dense, Weighted, Connections to WordNet. Proceedings of the Global WordNet Conference, 2006. [Presentation] [Data] [Bibtex]
  
  

  @inproceedings{Boyd-Graber:Fellbaum:Osherson:Schapire-2006,
  	Author = {Jordan Boyd-Graber and Christiane Fellbaum and Daniel Osherson and Robert Schapire},
  	Url = {docs/jbg-jeju.pdf},
  	Booktitle = {Proceedings of the Global {WordNet} Conference},
  	Location = {Jeju, South Korea},
  	Year = {2006},
  	Title = {Adding Dense, Weighted, Connections to {WordNet}},
  }
  

Workshop

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

• Mozhi Zhang, Yoshinari Fujinuma, and Jordan Boyd-Graber. Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification. ACL Workshop on Deep Learning Approaches for Low-Resource Natural Language Processing, 2018. [Bibtex]
  
  

  @inproceedings{Zhang:Fujinuma:Boyd-Graber-2018,
  	Author = {Mozhi Zhang and Yoshinari Fujinuma and Jordan Boyd-Graber},
  	Booktitle = {ACL Workshop on Deep Learning Approaches for Low-Resource Natural Language Processing},
  	Location = {Melbourne, Australia},
  	Year = {2018},
  	Title = {Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification},
  }
  

• 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},
  	Url = {http://visualization.ischool.uw.edu/hci_uncertainty/papers/Paper11.pdf},
  	Booktitle = {CHI 2017 Designing for Uncertainty Workshop},
  	Year = {2017},
  	Location = {Denver, CO},
  	Title = {Accounting for Input Uncertainty in Human-in-the-Loop Systems},
  }
  

• 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},
  }
  

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

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

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

• Philip Resnik, William Armstrong, Leonardo Claudino, Thang Nguyen, Viet-An Nguyen, and Jordan Boyd-Graber. Beyond LDA: Exploring Supervised Topic Modeling for Depression-Related Language in Twitter. NAACL Workshop on Cognitive Modeling and Computational Linguistics, 2015. [Bibtex]
  
  

  @inproceedings{Resnik:Armstrong:Claudino:Nguyen:Nguyen:Boyd-Graber-2015,
  	Author = {Philip Resnik and William Armstrong and Leonardo Claudino and Thang Nguyen and Viet-An Nguyen and Jordan Boyd-Graber},
  	Booktitle = {NAACL Workshop on Cognitive Modeling and Computational Linguistics},
  	Location = {Denver, Colorado},
  	Year = {2015},
  	Title = {Beyond {LDA}: Exploring Supervised Topic Modeling for Depression-Related Language in Twitter},
  }
  

• Naho Orita, Naomi Feldman, and Jordan Boyd-Graber. Quantifying the role of discourse topicality in speakers' choices of referring expressions. ACL Workshop on Cognitive Modeling and Computational Linguistics, 2014. [Bibtex]
  
  

  @inproceedings{Orita:Feldman:Boyd-Graber-2014,
  	Author = {Naho Orita and Naomi Feldman and Jordan Boyd-Graber},
  	Booktitle = {ACL Workshop on Cognitive Modeling and Computational Linguistics},
  	Location = {Baltimore, Maryland},
  	Year = {2014},
  	Title = {Quantifying the role of discourse topicality in  speakers' choices of referring expressions},
  }
  

• 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,
  	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},
  	Location = {Baltimore, Maryland},
  	Year = {2014},
  	Title = {Concurrent Visualization of Relationships between Words and Topics in Topic Models},
  }
  

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

• Jason Chuang, John D. Wilkerson, Rebecca Weiss, Dustin Tingley, Brandon M. Stewart, Margaret E. Roberts, Forough Poursabzi-Sangdeh, Justin Grimmer, Leah Findlater, Jordan Boyd-Graber, and Jeffrey Heer. Computer-Assisted Content Analysis: Topic Models for Exploring Multiple Subjective Interpretations. NIPS Workshop on Human-Propelled Machine Learning, 2014. [Bibtex]
  
  

  @inproceedings{Chuang:Wilkerson:Weiss:Tingley:Stewart:Roberts:Poursabzi-Sangdeh:Grimmer:Findlater:Boyd-Graber:Heer-2014,
  	Author = {Jason Chuang and John D. Wilkerson and Rebecca Weiss and Dustin Tingley and Brandon M. Stewart and Margaret E. Roberts and Forough Poursabzi-Sangdeh and Justin Grimmer and Leah Findlater and Jordan Boyd-Graber and Jeffrey Heer},
  	Booktitle = {NIPS Workshop on Human-Propelled Machine Learning},
  	Location = {Montreal, Canada},
  	Year = {2014},
  	Title = {Computer-Assisted Content Analysis: Topic Models for Exploring Multiple Subjective Interpretations},
  }
  

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

• Thang Nguyen, Yuening Hu, and Jordan Boyd-Graber. Evaluating Regularized Anchor Words. NIPS Workshop on Topic Models: Computation, Application, and Evaluation, 2013. [Bibtex]
  
  

  @inproceedings{Nguyen:Hu:Boyd-Graber-2013,
  	Author = {Thang Nguyen and Yuening Hu and Jordan Boyd-Graber},
  	Booktitle = {NIPS Workshop on Topic Models: Computation, Application, and Evaluation},
  	Location = {Lake Tahoe, Nevada},
  	Year = {2013},
  	Title = {Evaluating Regularized Anchor Words},
  }
  

• Yuening Hu, Ke Zhai, Vlad Edelman, and Jordan Boyd-Graber. Topic Models for Translation Domain Adaptation. NIPS Workshop on Topic Models: Computation, Application, and Evaluation, 2013. [Bibtex]
  
  

  @inproceedings{Hu:Zhai:Edelman:Boyd-Graber-2013,
  	Author = {Yuening Hu and Ke Zhai and Vlad Edelman and Jordan Boyd-Graber},
  	Booktitle = {NIPS Workshop on Topic Models: Computation, Application, and Evaluation},
  	Location = {Lake Tahoe, Nevada},
  	Year = {2013},
  	Title = {Topic Models for Translation Domain Adaptation},
  }
  

• Viet-An Nguyen, Jordan Boyd-Graber, Jonathan Chang, and Philip Resnik. Tree-Based Label Dependency Topic Models. NIPS Workshop on Topic Models: Computation, Application, and Evaluation, 2013. [Bibtex]
  
  

  @inproceedings{Nguyen:Boyd-Graber:Chang:Resnik-2013,
  	Author = {Viet-An Nguyen and Jordan Boyd-Graber and Jonathan Chang and Philip Resnik},
  	Booktitle = {NIPS Workshop on Topic Models: Computation, Application, and Evaluation},
  	Location = {Lake Tahoe, Nevada},
  	Year = {2013},
  	Title = {Tree-Based Label Dependency Topic Models},
  }
  

• Yuening Hu and Jordan Boyd-Graber. Suggesting Constraints for Interactive Topic Modeling. ICML Workshop on Machine Learning in Human Computation and Crowdsourcing, 2012. [Bibtex]
  
  

  @inproceedings{Hu:Boyd-Graber-2012,
  	Author = {Yuening Hu and Jordan Boyd-Graber},
  	Booktitle = {ICML Workshop on Machine Learning in Human Computation and Crowdsourcing},
  	Location = {Edinburgh, Scotland},
  	Year = {2012},
  	Title = {Suggesting Constraints for Interactive Topic Modeling},
  }
  

• Yuening Hu and Jordan Boyd-Graber. Bayesian Hierarchical Clustering with Beta Coalescents. Mid-Atlantic Student Colloquium on Speech, Language, and Learning, 2012. [Bibtex]
  
  

  @inproceedings{Hu:Boyd-Graber-2012,
  	Author = {Yuening Hu and Jordan Boyd-Graber},
  	Booktitle = {Mid-Atlantic Student Colloquium on Speech, Language, and Learning},
  	Year = {2012},
  	Title = {Bayesian Hierarchical Clustering with Beta Coalescents},
  }
  

• Ke Zhai and Jordan Boyd-Graber. Online Topic Model with Infinite Vocabulary. Mid-Atlantic Student Colloquium on Speech, Language, and Learning, 2012. [Bibtex]
  
  

  @inproceedings{Zhai:Boyd-Graber-2012,
  	Author = {Ke Zhai and Jordan Boyd-Graber},
  	Booktitle = {Mid-Atlantic Student Colloquium on Speech, Language, and Learning},
  	Year = {2012},
  	Title = {Online Topic Model with Infinite Vocabulary},
  }
  

• Viet-An Nguyen, Jordan Boyd-Graber, and Philip Resnik. "I Want to Talk About, Again, My Record On Energy …'': Modeling Topic Control in Conversations using Speaker-centric Nonparametric Topic Models. Mid-Atlantic Student Colloquium on Speech, Language, and Learning, 2012. [Bibtex]
  
  

  @inproceedings{Nguyen:Boyd-Graber:Resnik-2012,
  	Author = {Viet-An Nguyen and Jordan Boyd-Graber and Philip Resnik},
  	Booktitle = {Mid-Atlantic Student Colloquium on Speech, Language, and Learning},
  	Year = {2012},
  	Title = {``I Want to Talk About, Again, My Record On Energy~\dots'':  Modeling
    Topic Control in Conversations using Speaker-centric Nonparametric Topic Models},
  }
  

• Clay Templeton, Travis Brown, Sayan Battacharyya, and Jordan Boyd-Graber. Mining the Dispatch under Supervision: Using Casualty Counts to Guide Topics from the Richmond Daily Dispatch Corpus. Chicago Colloquium on Digital Humanities and Computer Science, 2011. [Bibtex]
  
  

  @inproceedings{Templeton:Brown:Battacharyya:Boyd-Graber-2011,
  	Author = {Clay Templeton and Travis Brown and Sayan Battacharyya and Jordan Boyd-Graber},
  	Url = {docs/slda_civil_war.pdf},
  	Booktitle = {Chicago Colloquium on Digital Humanities and Computer Science},
  	Location = {Chicago, IL},
  	Year = {2011},
  	Title = {Mining the Dispatch under Supervision: Using Casualty Counts to Guide Topics from the Richmond Daily Dispatch Corpus},
  }
  

• Jordan Boyd-Graber. Linguistic Resource Creation in a Web 2.0 World. NSF Workshop on Collaborative Annotation, 2011. [Bibtex]
  
  

  @inproceedings{Boyd-Graber-2011,
  	Author = {Jordan Boyd-Graber},
  	Url = {docs/2011_resources.pdf},
  	Booktitle = {NSF Workshop on Collaborative Annotation},
  	Location = {New York, New York},
  	Year = {2011},
  	Title = {Linguistic Resource Creation in a Web 2.0 World},
  }
  

• Pranav Anand, Joseph King, Jordan Boyd-Graber, Earl Wagner, Craig Martell, Douglas W. Oard, and Philip Resnik. Believe Me: We Can Do This!. The AAAI 2011 workshop on Computational Models of Natural Argument, 2011. [Data] [Presentation] [Bibtex]
  
  

  @inproceedings{Anand:King:Boyd-Graber:Wagner:Martell:Oard:Resnik-2011,
  	Author = {Pranav Anand and Joseph King and Jordan Boyd-Graber and Earl Wagner and Craig Martell and Douglas W. Oard and Philip Resnik},
  	Url = {docs/persuasion.pdf},
  	Booktitle = {The AAAI 2011 workshop on Computational Models of Natural Argument},
  	Location = {San Francisco, CA},
  	Year = {2011},
  	Title = {Believe Me: We Can Do This!},
  }
  

• Brianna Satinoff and Jordan Boyd-Graber. Trivial Classification: What features do humans use for classification?. Workshop on Crowdsourcing Technologies for Language and Cognition Studies, 2011. [Bibtex]
  
  

  @inproceedings{Satinoff:Boyd-Graber-2011,
  	Author = {Brianna Satinoff and Jordan Boyd-Graber},
  	Booktitle = {Workshop on Crowdsourcing Technologies for Language and Cognition Studies},
  	Location = {Boulder, CO},
  	Year = {2011},
  	Title = {Trivial Classification: What features do humans use for classification?},
  }
  

• Nitin Madnani, Jordan Boyd-Graber, and Philip Resnik. Measuring Transitivity Using Untrained Annotators. Creating Speech and Language Data With Amazon's Mechanical Turk, 2010. [Data] [Bibtex]
  
  

  @inproceedings{Madnani:Boyd-Graber:Resnik-2010,
  	Author = {Nitin Madnani and Jordan Boyd-Graber and Philip Resnik},
  	Url = {docs/madnani-boyd-graber-turk-workshop.pdf},
  	Booktitle = {Creating Speech and Language Data With Amazon's Mechanical Turk},
  	Location = {Los Angeles, CA},
  	Year = {2010},
  	Title = {Measuring Transitivity Using Untrained Annotators},
  }
  

• Sonya S. Nikolova, Jordan Boyd-Graber, and Perry Cook. The Design of ViVA: A Mixed-initiative Visual Vocabulary for Aphasia. Proceedings of the 27th international conference extended abstracts on Human factors in computing systems, 2009. [Bibtex]
  
  

  @inproceedings{Nikolova:Boyd-Graber:Cook-2009,
  	Publisher = {ACM},
  	Isbn = {978-1-60558-247-4},
  	Address = {New York, NY, USA},
  	Title = {The Design of ViVA: A Mixed-initiative Visual Vocabulary for Aphasia},
  	Url = {docs/viva.pdf},
  	Booktitle = {Proceedings of the 27th international conference extended abstracts on Human factors in computing systems},
  	Author = {Sonya S. Nikolova and Jordan Boyd-Graber and Perry Cook},
  	Year = {2009},
  	Location = {Boston, MA, USA},
  	Pages = {4015--4020},
  }
  

• Jonathan Chang, Jordan Boyd-Graber, and David M. Blei. Discovering social networks from free text. 3rd Annual Machine Learning Symposium, 2008. [Bibtex]
  
  

  @inproceedings{Chang:Boyd-Graber:Blei-2008,
  	Author = {Jonathan Chang and Jordan Boyd-Graber and David M. Blei},
  	Booktitle = {3rd Annual Machine Learning Symposium},
  	Location = {New York, New York},
  	Year = {2008},
  	Title = {Discovering social networks from free text},
  }
  

• Jordan Boyd-Graber and David M. Blei. Multilingual Topic Models. NIPS Workshop on Unsupervised Latent Variable Models, 2008. [Bibtex]
  
  

  @inproceedings{Boyd-Graber:Blei-2008,
  	Author = {Jordan Boyd-Graber and David M. Blei},
  	Booktitle = {NIPS Workshop on Unsupervised Latent Variable Models},
  	Location = {Whistler, Canada},
  	Year = {2008},
  	Title = {Multilingual Topic Models},
  }
  

• Jordan Boyd-Graber and David M. Blei. PUTOP: Turning Predominant Senses into a Topic Model for WSD. 4th International Workshop on Semantic Evaluations, 2007. [Bibtex]
  
  

  @inproceedings{Boyd-Graber:Blei-2007,
  	Author = {Jordan Boyd-Graber and David M. Blei},
  	Url = {docs/jbg-SEMEVAL07.pdf},
  	Booktitle = {4th International Workshop on Semantic Evaluations},
  	Location = {Prague, Czech Republic},
  	Year = {2007},
  	Title = {{PUTOP}: {T}urning Predominant Senses into a Topic Model for {WSD}},
  }
  

 

LaTeX Version BibTex Version Text Version

 

Page by Jordan Boyd-Graber. Last modified: 2019-02-09