\vspace{.1cm}
Students directly advised or co-advised \underline{in underline}.
\vspace{.4cm}
\headedsection{{\bf Adaptive Heads-up Displays for Simultaneous Interpretation}}{}{


\begin{enumerate}
	 \item Craig Stewart, Nikolai Vogler, Junjie Hu, {\bf Jordan Boyd-Graber}, and Graham Neubig.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2018_acl_interpeval.pdf}{Automatic Estimation of Simultaneous Interpreter Performance}}.  \emph{Association for Computational Linguistics}, 2018, 5 pages.


\end{enumerate}
}
\headedsection{{\bf CAREER}}{}{


\begin{enumerate}
	 \item \underline{\href{http://users.umiacs.umd.edu/~shifeng/}{Shi Feng}} and {\bf Jordan Boyd-Graber}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2019_iui_augment.pdf}{What AI can do for me: Evaluating Machine Learning Interpretations in Cooperative Play}}.  \emph{Intelligent User Interfaces}, 2019.

	 \item \underline{\href{http://www.ericswallace.com/}{Eric Wallace}} and {\bf Jordan Boyd-Graber}.  {\bf \href{http://aclweb.org/anthology/P18-3018}{Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions}}.  \emph{ACL Student Research Workshop}, 2018, 6 pages.

	 \item \underline{\href{http://www.cs.umd.edu/~elgohary/}{Ahmed Elgohary}}, \underline{Chen Zhao}, and {\bf Jordan Boyd-Graber}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2018_emnlp_linked.pdf}{Dataset and Baselines for Sequential Open-Domain Question Answering}}.  \emph{Empirical Methods in Natural Language Processing}, 2018, 6 pages.

	 \item \underline{\href{http://users.umiacs.umd.edu/~shifeng/}{Shi Feng}}, \underline{\href{http://www.ericswallace.com/}{Eric Wallace}}, Alvin Grissom II, \underline{\href{http://csel.cs.colorado.edu/~pero9922}{Pedro Rodriguez}}, Mohit Iyyer, and {\bf Jordan Boyd-Graber}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2018_emnlp_rs.pdf}{Pathologies of Neural Models Make Interpretation Difficult}}.  \emph{Empirical Methods in Natural Language Processing}, 2018, 9 pages.

	 \item Mohit Iyyer, Varun Manjunatha, {\bf Jordan Boyd-Graber}, and Larry Davis.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2018_naacl_colorization.pdf}{Learning to Color from Language}}.  \emph{North American Association of Computational Linguistics}, 2018, 6 pages.

	 \item {\bf Jordan Boyd-Graber}, \underline{\href{http://users.umiacs.umd.edu/~shifeng/}{Shi Feng}}, and \underline{\href{http://csel.cs.colorado.edu/~pero9922}{Pedro Rodriguez}}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2018_nips_qbcomp.pdf}{Human-Computer Question Answering: The Case for Quizbowl}}.  \emph{The NIPS '17 Competition: Building Intelligent Systems}, 2018, 10 pages.


\end{enumerate}
}
\headedsection{{\bf Closing the Loop}}{}{


\begin{enumerate}
	 \item \underline{\href{http://alisonmsmith.github.io/}{Alison Smith}}, Varun Kumar, {\bf Jordan Boyd-Graber}, Kevin Seppi, and Leah Findlater.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2018_iui_itm.pdf}{User-Centered Design and Evaluation of a Human-in-the-Loop Topic Modeling System}}.  \emph{Intelligent User Interfaces}, 2018, 12 pages (23\% Acceptance Rate).

	 \item Paul Felt, Eric Ringger, Kevin Seppi, and {\bf Jordan Boyd-Graber}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2018_coling_measurements.pdf}{Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types}}.  \emph{International Conference on Computational Linguistics}, 2018, 10 pages (37\% Acceptance Rate).

	 \item Jeff Lund, Connor Cook, Kevin Seppi, and {\bf Jordan Boyd-Graber}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2017_acl_multiword_anchors.pdf}{Tandem Anchoring: A Multiword Anchor Approach for Interactive Topic Modeling}}.  \emph{Association for Computational Linguistics}, 2017, 10 pages (22\% Acceptance Rate).

	 \item \underline{\href{http://alisonmsmith.github.io/}{Alison Smith}}, Varun Kumar, {\bf Jordan Boyd-Graber}, Kevin Seppi, and Leah Findlater.  {\bf \href{http://visualization.ischool.uw.edu/hci_uncertainty/papers/Paper11.pdf}{Accounting for Input Uncertainty in Human-in-the-Loop Systems}}.  \emph{CHI 2017 Designing for Uncertainty Workshop}, 2017.

	 \item You Lu, Jeff Lund, and {\bf Jordan Boyd-Graber}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2017_emnlp_adagrad_olda.pdf}{Why ADAGRAD Fails for Online Topic Modeling}}.  \emph{Empirical Methods in Natural Language Processing}, 2017, 6 pages.

	 \item Tak Yeon Lee, \underline{\href{http://alisonmsmith.github.io/}{Alison Smith}}, Kevin Seppi, Niklas Elmqvist, {\bf Jordan Boyd-Graber}, and Leah Findlater.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2017_ijhcs_human_touch.pdf}{The Human Touch: How Non-expert Users Perceive, Interpret, and Fix Topic Models}}.  \emph{International Journal of Human-Computer Studies}, 2017, 27 pages.

	 \item {\bf Jordan Boyd-Graber}.  {\bf Humans and Computers Working Together to Measure Machine Learning Interpretability}.  \emph{The Bridge}, 2017, 5 pages.

	 \item \underline{\href{http://alisonmsmith.github.io/}{Alison Smith}}, Tak Yeon Lee, \underline{\href{https://csel.cs.colorado.edu/~fopo5620/}{Forough Poursabzi-Sangdeh}}, {\bf Jordan Boyd-Graber}, Kevin Seppi, Niklas Elmqvist, and Leah Findlater.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2017_tacl_eval_tm_viz.pdf}{Evaluating Visual Representations for Topic Understanding and Their Effects on Manually Generated Labels}}.  \emph{Transactions of the Association for Computational Linguistics}, 2017, 15 pages.

	 \item \underline{\href{https://csel.cs.colorado.edu/~fopo5620/}{Forough Poursabzi-Sangdeh}}, {\bf Jordan Boyd-Graber}, Leah Findlater, and Kevin Seppi.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2016_acl_doclabel.pdf}{ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling}}.  \emph{Association for Computational Linguistics}, 2016 (28\% Acceptance Rate).

	 \item \underline{\href{http://alisonmsmith.github.io/}{Alison Smith}}, Tak Yeon Lee, \underline{\href{https://csel.cs.colorado.edu/~fopo5620/}{Forough Poursabzi-Sangdeh}}, {\bf Jordan Boyd-Graber}, Kevin Seppi, Niklas Elmqvist, and Leah Findlater.  {\bf Human-Centered and Interactive: Expanding the Impact of Topic Models}.  \emph{CHI Human Centred Machine Learning Workshop}, 2016.

	 \item Md Arafat Sultan, {\bf Jordan Boyd-Graber}, and Tamara Sumner.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2016_naacl_sts.pdf}{Bayesian Supervised Domain Adaptation for Short Text Similarity}}.  \emph{North American Association for Computational Linguistics}, 2016, 11 pages (24\% Acceptance Rate).

	 \item \underline{\href{http://www.cs.umd.edu/~vietan/index.htm}{Viet-An Nguyen}}, {\bf Jordan Boyd-Graber}, Philip Resnik, and Kristina Miler.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2015_acl_teaparty.pdf}{Tea Party in the House: A Hierarchical Ideal Point Topic Model and Its Application to Republican Legislators in the 112th Congress}}.  \emph{Association for Computational Linguistics}, 2015, 11 pages (25\% Acceptance Rate).

	 \item Paul Felt, Eric Ringger, {\bf Jordan Boyd-Graber}, and Kevin Seppi.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2015_conll_cslda.pdf}{Making the Most of Crowdsourced Document Annotations: Confused Supervised {LDA}}}.  \emph{Conference on Computational Natural Language Learning}, 2015, 10 pages (30\% Acceptance Rate).

	 \item Yi Yang, Doug Downey, and {\bf Jordan Boyd-Graber}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2015_emnlp_fast_priors.pdf}{Efficient Methods for Incorporating Knowledge into Topic Models}}.  \emph{Empirical Methods in Natural Language Processing}, 2015, 9 pages (24\% Acceptance Rate).

	 \item Stephen H. Bach, Bert Huang, {\bf Jordan Boyd-Graber}, and Lise Getoor.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2015_icml_paired_dual.pdf}{Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs}}.  \emph{International Conference on Machine Learning}, 2015, 10 pages (20\% Acceptance Rate).

	 \item \underline{\href{http://www.umiacs.umd.edu/~daithang/}{Thang Nguyen}}, {\bf Jordan Boyd-Graber}, Jeff Lund, Kevin Seppi, and Eric Ringger.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2015_naacl_supervised_anchor.pdf}{Is your anchor going up or down?  {F}ast and accurate supervised topic models}}.  \emph{North American Association for Computational Linguistics}, 2015, 10 pages (26\% Acceptance Rate).

	 \item \underline{\href{http://alisonmsmith.github.io/}{Alison Smith}}, Jason Chuang, \underline{\href{http://www.cs.umd.edu/~ynhu/}{Yuening Hu}}, {\bf Jordan Boyd-Graber}, and Leah Findlater.  {\bf Concurrent Visualization of Relationships between Words and Topics in Topic Models}.  \emph{ACL Workshop on Workshop on Interactive Language Learning, Visualization, and Interfaces}, 2014.

	 \item \underline{\href{http://www.cs.umd.edu/~ynhu/}{Yuening Hu}}, {\bf Jordan Boyd-Graber}, Brianna Satinoff, and \underline{\href{http://alisonmsmith.github.io/}{Alison Smith}}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2014_mlj_itm.pdf}{Interactive Topic Modeling}}.  \emph{Machine Learning}, 2014, 56 pages.

	 \item \underline{\href{http://www.cs.umd.edu/~ynhu/}{Yuening Hu}}, {\bf Jordan Boyd-Graber}, and \underline{Brianna Satinoff}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/itm.pdf}{Interactive Topic Modeling}}.  \emph{Association for Computational Linguistics}, 2011, 10 pages (25\% Acceptance Rate).


\end{enumerate}
}
\headedsection{{\bf Cross-Language Bayesian Models for Web-Scale Text Analysis}}{}{


\begin{enumerate}
	 \item \underline{\href{http://www.umiacs.umd.edu/~daithang/}{Thang Nguyen}}, \underline{\href{http://www.cs.umd.edu/~ynhu/}{Yuening Hu}}, and {\bf Jordan Boyd-Graber}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2014_acl_anchor_reg.pdf}{Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms}}.  \emph{Association for Computational Linguistics}, 2014, 10 pages (26\% Acceptance Rate).

	 \item \underline{\href{http://cs.umd.edu/~miyyer/}{Mohit Iyyer}}, Peter Enns, {\bf Jordan Boyd-Graber}, and Philip Resnik.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2014_acl_rnn_ideology.pdf}{Political Ideology Detection Using Recursive Neural Networks}}.  \emph{Association for Computational Linguistics}, 2014, 10 pages (26\% Acceptance Rate).

	 \item \underline{\href{http://www.cs.umd.edu/~ynhu/}{Yuening Hu}}, {\bf Jordan Boyd-Graber}, Brianna Satinoff, and \underline{\href{http://alisonmsmith.github.io/}{Alison Smith}}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2014_mlj_itm.pdf}{Interactive Topic Modeling}}.  \emph{Machine Learning}, 2014, 56 pages.

	 \item \underline{\href{http://www.cs.umd.edu/~vietan/index.htm}{Viet-An Nguyen}}, {\bf Jordan Boyd-Graber}, Philip Resnik, Deborah Cai, Jennifer Midberry, and Yuanxin Wang.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2014_mlj_influencer.pdf}{Modeling Topic Control to Detect Influence in Conversations using Nonparametric Topic Models}}.  \emph{Machine Learning}, 2014, 48 pages.

	 \item \underline{\href{http://www.umiacs.umd.edu/~zhaike/}{Ke Zhai}}, {\bf Jordan Boyd-Graber}, and Shay B. Cohen.  {\bf Hybrid Online Inference with Adaptor Grammars}.  \emph{NIPS Workshop on Advances in Variational Inference}, 2014.

	 \item \underline{\href{http://www.umiacs.umd.edu/~zhaike/}{Ke Zhai}}, {\bf Jordan Boyd-Graber}, and Shay B. Cohen.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2014_tacl_ag_vb_online.pdf}{Online Adaptor Grammars with Hybrid Inference}}.  \emph{Transactions of the Association for Computational Linguistics}, 2014, 12 pages.

	 \item {\bf Jordan Boyd-Graber}, \underline{Kimberly Glasgow}, and Jackie Sauter Zajac.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2013_spoiler.pdf}{Spoiler Alert: Machine Learning Approaches to Detect Social Media Posts with Revelatory Information}}.  \emph{ASIST 2013: The 76th Annual Meeting of the American Society for Information Science and Technology}, 2013, 9 pages.

	 \item \underline{\href{http://www.umiacs.umd.edu/~zhaike/}{Ke Zhai}} and {\bf Jordan Boyd-Graber}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2013_icml_infvoc.pdf}{Online Topic Models with Infinite Vocabulary}}.  \emph{International Conference on Machine Learning}, 2013, 9 pages (20\% Acceptance Rate).

	 \item \underline{\href{http://www.cs.umd.edu/~vietan/index.htm}{Viet-An Nguyen}}, {\bf Jordan Boyd-Graber}, and Stephen Altschul.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2013_dp_protein.pdf}{Dirichlet Mixtures, the Dirichlet Process, and the Structure of Protein Space}}.  \emph{Journal of Computational Biology}, 2013, 48 pages.

	 \item \underline{\href{http://www.cs.umd.edu/~ynhu/}{Yuening Hu}}, {\bf Jordan Boyd-Graber}, Hal {Daum\'{e} III}, and Z. Irene Ying.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2013_coalescent.pdf}{Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent}}.  \emph{Neural Information Processing Systems}, 2013, 9 pages (25\% Acceptance Rate).

	 \item \underline{\href{http://www.cs.umd.edu/~vietan/index.htm}{Viet-An Nguyen}}, {\bf Jordan Boyd-Graber}, and Philip Resnik.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2013_shlda.pdf}{Lexical and Hierarchical Topic Regression}}.  \emph{Neural Information Processing Systems}, 2013, 10 pages (25\% Acceptance Rate).

	 \item \underline{\href{http://www.cs.umd.edu/~vietan/index.htm}{Viet-An Nguyen}}, \underline{\href{http://www.cs.umd.edu/~ynhu/}{Yuening Hu}}, {\bf Jordan Boyd-Graber}, and Philip Resnik.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2013_argviz.pdf}{Argviz: Interactive Visualization of Topic Dynamics in Multi-party Conversations}}.  \emph{North American Association for Computational Linguistics}, 2013, 4 pages (50\% Acceptance Rate).

	 \item Naho Orita, Rebecca McKeown, Naomi H. Feldman, Jeffrey Lidz, and {\bf Jordan Boyd-Graber}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2013_cogsci_pronoun.pdf}{Discovering Pronoun Categories using Discourse Information}}.  \emph{Proceedings of the Cognitive Science Society}, 2013, 6 pages.

	 \item \underline{\href{http://www.umiacs.umd.edu/~zhaike/}{Ke Zhai}}, {\bf Jordan Boyd-Graber}, Nima Asadi, and \underline{Mohamad Alkhouja}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/mrlda.pdf}{{Mr. LDA}: A Flexible Large Scale Topic Modeling Package using Variational Inference in MapReduce}}.  \emph{ACM International Conference on World Wide Web}, 2012, 10 pages (12\% Acceptance Rate).

	 \item \underline{\href{http://www.cs.umd.edu/~ynhu/}{Yuening Hu}} and {\bf Jordan Boyd-Graber}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/acl_2012_fttm.pdf}{Efficient Tree-Based Topic Modeling}}.  \emph{Association for Computational Linguistics}, 2012, 5 pages (21\% Acceptance Rate).

	 \item Vladimir Eidelman, {\bf Jordan Boyd-Graber}, and Philip Resnik.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/acl_2012_tm_for_mt.pdf}{Topic Models for Dynamic Translation Model Adaptation}}.  \emph{Association for Computational Linguistics}, 2012, 5 pages (21\% Acceptance Rate).

	 \item \underline{\href{http://www.cs.umd.edu/~vietan/index.htm}{Viet-An Nguyen}}, {\bf Jordan Boyd-Graber}, and Philip Resnik.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/acl_2012_sits.pdf}{{SITS}: A Hierarchical Nonparametric Model using Speaker Identity for Topic Segmentation in Multiparty Conversations}}.  \emph{Association for Computational Linguistics}, 2012, 10 pages (19\% Acceptance Rate).

	 \item \underline{\href{http://www.cs.umd.edu/~ynhu/}{Yuening Hu}}, \underline{\href{http://www.umiacs.umd.edu/~zhaike/}{Ke Zhai}}, Sinead Williamson, and {\bf Jordan Boyd-Graber}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/mtibp_icml_2012.pdf}{Modeling Images using Transformed {I}ndian Buffet Processes}}.  \emph{International Conference of Machine Learning}, 2012, 8 pages (27\% Acceptance Rate).


\end{enumerate}
}
\headedsection{{\bf LORELEI}}{}{


\begin{enumerate}
	 \item \underline{\href{http://users.umiacs.umd.edu/~shifeng/}{Shi Feng}} and {\bf Jordan Boyd-Graber}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2019_iui_augment.pdf}{What AI can do for me: Evaluating Machine Learning Interpretations in Cooperative Play}}.  \emph{Intelligent User Interfaces}, 2019.

	 \item \underline{\href{http://users.umiacs.umd.edu/~shifeng/}{Shi Feng}}, \underline{\href{http://www.ericswallace.com/}{Eric Wallace}}, Alvin Grissom II, \underline{\href{http://csel.cs.colorado.edu/~pero9922}{Pedro Rodriguez}}, Mohit Iyyer, and {\bf Jordan Boyd-Graber}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2018_emnlp_rs.pdf}{Pathologies of Neural Models Make Interpretation Difficult}}.  \emph{Empirical Methods in Natural Language Processing}, 2018, 9 pages.

	 \item \underline{\href{http://www.cs.umd.edu/~myuan/}{Michelle Yuan}}, Benjamin {Van Durme}, and {\bf Jordan Boyd-Graber}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2018_neurips_mtanchor.pdf}{Multilingual Anchoring: Interactive Topic Modeling and Alignment  Across Languages}}.  \emph{Neural Information Processing Systems}, 2018, 10 pages.

	 \item Shudong Hao, Michael J. Paul, and {\bf Jordan Boyd-Graber}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2018_naacl_mltm_eval.pdf}{Lessons from the Bible on Modern Topics: Multilingual Topic Model Evaluation on Low-Resource Languages}}.  \emph{North American Association for Computational Linguistics}, 2018, 9 pages (35\% Acceptance Rate).

	 \item \underline{\href{http://www.cs.umd.edu/~wwyang/}{Weiwei Yang}}, {\bf Jordan Boyd-Graber}, and Philip Resnik.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2017_emnlp_tree_prior.pdf}{Adapting Topic Models using Lexical Associations with Tree Priors}}.  \emph{Empirical Methods in Natural Language Processing}, 2017, 6 pages.

	 \item \underline{\href{http://www.cs.umd.edu/~wwyang/}{Weiwei Yang}}, {\bf Jordan Boyd-Graber}, and Philip Resnik.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2016_acl_docblock.pdf}{A Discriminative Topic Model using Document Network Structure}}.  \emph{Association for Computational Linguistics}, 2016, 10 pages (28\% Acceptance Rate).

	 \item \underline{\href{http://www.cs.umd.edu/~wwyang/}{Weiwei Yang}}, {\bf Jordan Boyd-Graber}, and Philip Resnik.  {\bf Birds of a Feather in the Same Nest: A Discriminative Topic Model using Block-based Priors}.  \emph{Mid-Atlantic Student Colloquium on Speech, Language, and Learning}, 2016.

	 \item \underline{\href{http://www.cs.umd.edu/~wwyang/}{Weiwei Yang}}, {\bf Jordan Boyd-Graber}, and Philip Resnik.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2015_emnlp_hinge_link.pdf}{Birds of a Feather Linked Together: A Discriminative Topic Model using Link-based Priors}}.  \emph{Empirical Methods in Natural Language Processing}, 2015, 5 pages (28\% Acceptance Rate).


\end{enumerate}
}
\headedsection{{\bf Scaling Insight}}{}{


\begin{enumerate}
	 \item Aaron Gerow, Yuening Hu, {\bf Jordan Boyd-Graber}, David M. Blei, and James A. Evans.  {\bf Measuring Discursive Influence Across Scholarship}.  \emph{Proceedings of the National Academies of Science}, 2018.

	 \item You Lu, Jeff Lund, and {\bf Jordan Boyd-Graber}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2017_emnlp_adagrad_olda.pdf}{Why ADAGRAD Fails for Online Topic Modeling}}.  \emph{Empirical Methods in Natural Language Processing}, 2017, 6 pages.

	 \item \underline{\href{https://csel.cs.colorado.edu/~fopo5620/}{Forough Poursabzi-Sangdeh}}, {\bf Jordan Boyd-Graber}, Leah Findlater, and Kevin Seppi.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2016_acl_doclabel.pdf}{ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling}}.  \emph{Association for Computational Linguistics}, 2016 (28\% Acceptance Rate).

	 \item Evgeny Klochikhin and {\bf Jordan Boyd-Graber}.  {\bf Text Analysis}.  \emph{Big Data and Social Science Research: Theory and Practical Approaches}, 2016, 27 pages.

	 \item \underline{\href{https://csel.cs.colorado.edu/~fopo5620/}{Forough Poursabzi-Sangdeh}} and {\bf Jordan Boyd-Graber}.  {\bf Speeding Document Annotation with Topic Models}.  \emph{NAACL Student Research Workshop}, 2015.


\end{enumerate}
}
\headedsection{{\bf Thinking on Your Feet}}{}{


\begin{enumerate}
	 \item \underline{\href{http://cs.umd.edu/~miyyer/}{Mohit Iyyer}}, Varun Manjunatha, Anupam Guha, Yogarshi Vyas, {\bf Jordan Boyd-Graber}, Hal {Daum\'{e} III}, and Larry Davis.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2017_cvpr_comics.pdf}{The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives}}.  \emph{Computer Vision and Pattern Recognition}, 2017, 10 pages.

	 \item Khanh Nguyen, {\bf Jordan Boyd-Graber}, and Hal {Daum\'{e} III}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2017_emnlp_bandit_mt.pdf}{Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback}}.  \emph{Empirical Methods in Natural Language Processing}, 2017, 11 pages.

	 \item \underline{\href{http://www.umiacs.umd.edu/~alvin/}{Alvin Grissom II}}, Naho Orita, and {\bf Jordan Boyd-Graber}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2016_conll_verbpred.pdf}{Incremental Prediction of Sentence-final Verbs}}.  \emph{Conference on Computational Natural Language Learning}, 2016, 10 pages (20\% Acceptance Rate).

	 \item \underline{\href{http://www.umiacs.umd.edu/~hhe/}{He He}}, {\bf Jordan Boyd-Graber}, Kevin Kwok, and Hal {Daum\'{e} III}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2016_icml_opponent.pdf}{Opponent Modeling in Deep Reinforcement Learning}}.  \emph{International Conference on Machine Learning}, 2016, 10 pages (24\% Acceptance Rate).

	 \item Anupam Guha, \underline{\href{http://cs.umd.edu/~miyyer/}{Mohit Iyyer}}, and {\bf Jordan Boyd-Graber}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2016_naacl_paintings.pdf}{A Distorted Skull Lies in the Bottom Center: Identifying Paintings from Text Descriptions}}.  \emph{NAACL Human-Computer Question Answering Workshop}, 2016.

	 \item \underline{\href{http://cs.umd.edu/~miyyer/}{Mohit Iyyer}}, Anupam Guha, Snigdha Chaturvedi, {\bf Jordan Boyd-Graber}, and Hal {Daum\'{e} III}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2016_naacl_relationships.pdf}{Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships}}.  \emph{North American Association for Computational Linguistics}, 2016, 11 pages (24\% Acceptance Rate).

	 \item \underline{\href{http://www.umiacs.umd.edu/~hhe/}{He He}}, {\bf Jordan Boyd-Graber}, and Hal {Daum\'{e} III}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2016_naacl_interpretese.pdf}{Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation}}.  \emph{North American Association for Computational Linguistics}, 2016, 6 pages (29\% Acceptance Rate).

	 \item \underline{\href{http://cs.umd.edu/~miyyer/}{Mohit Iyyer}}, Varun Manjunatha, {\bf Jordan Boyd-Graber}, and Hal {Daum\'{e} III}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2015_acl_dan.pdf}{Deep Unordered Composition Rivals Syntactic Methods for Text Classification}}.  \emph{Association for Computational Linguistics}, 2015, 11 pages (25\% Acceptance Rate).

	 \item Vlad Niculae, Srijan Kumar, {\bf Jordan Boyd-Graber}, and Cristian Danescu-Niculescu-Mizil.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2015_acl_diplomacy.pdf}{Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game}}.  \emph{Association for Computational Linguistics}, 2015, 10 pages (25\% Acceptance Rate).

	 \item \underline{\href{http://www.umiacs.umd.edu/~hhe/}{He He}}, \underline{\href{http://www.umiacs.umd.edu/~alvin/}{Alvin Grissom II}}, {\bf Jordan Boyd-Graber}, and Hal {Daum\'{e} III}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2015_emnlp_rewrite.pdf}{Syntax-based Rewriting for Simultaneous Machine Translation}}.  \emph{Empirical Methods in Natural Language Processing}, 2015 (24\% Acceptance Rate).

	 \item {\bf Jordan Boyd-Graber}, \underline{\href{http://cs.umd.edu/~miyyer/}{Mohit Iyyer}}, \underline{\href{http://www.umiacs.umd.edu/~hhe/}{He He}}, and Hal {Daum\'{e} III}.  {\bf Interactive Incremental Question Answering}.  \emph{Neural Information Processing Systems}, 2015.

	 \item Anupam Guha, \underline{\href{http://cs.umd.edu/~miyyer/}{Mohit Iyyer}}, Danny Bouman, and {\bf Jordan Boyd-Graber}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2015_naacl_qb_coref.pdf}{Removing the Training Wheels: A Coreference Dataset that Entertains Humans and Challenges Computers}}.  \emph{North American Association for Computational Linguistics}, 2015, 11 pages (26\% Acceptance Rate).

	 \item \underline{\href{http://cs.umd.edu/~miyyer/}{Mohit Iyyer}}, {\bf Jordan Boyd-Graber}, Leonardo Claudino, Richard Socher, and Hal {Daum\'{e} III}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2014_emnlp_qb_rnn.pdf}{A Neural Network for Factoid Question Answering over Paragraphs}}.  \emph{Empirical Methods in Natural Language Processing}, 2014, 12 pages (26\% Acceptance Rate).

	 \item \underline{\href{http://www.umiacs.umd.edu/~alvin/}{Alvin Grissom II}}, \underline{\href{http://www.umiacs.umd.edu/~hhe/}{He He}}, {\bf Jordan Boyd-Graber}, John Morgan, and Hal {Daum\'{e} III}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/2014_emnlp_simtrans.pdf}{Don't Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation}}.  \emph{Empirical Methods in Natural Language Processing}, 2014, 11 pages (30\% Acceptance Rate).

	 \item \underline{\href{http://cs.umd.edu/~miyyer/}{Mohit Iyyer}}, {\bf Jordan Boyd-Graber}, and Hal {Daum\'{e} III}.  {\bf Generating Sentences from Semantic Vector Space Representations}.  \emph{NIPS Workshop on Learning Semantics}, 2014.

	 \item {\bf Jordan Boyd-Graber}, \underline{Brianna Satinoff}, \underline{\href{http://www.umiacs.umd.edu/~hhe/}{He He}}, and Hal {Daum\'{e} III}.  {\bf \href{http://umiacs.umd.edu/~jbg//docs/qb_emnlp_2012.pdf}{Besting the Quiz Master: Crowdsourcing Incremental Classification Games}}.  \emph{Empirical Methods in Natural Language Processing}, 2012, 12 pages (25\% Acceptance Rate).


\end{enumerate}
}