\newif\ifumd\umdtrue Students directly advised or co-advised \underline{in underline}. \subsection{\ifumd 2.A.iii. \else \fi Chapters in Books} \begin{enumerate} \item Sonya S. Nikolova, {\bf Jordan Boyd-Graber}, and Christiane Fellbaum. {\bf Collecting Semantic Similarity Ratings to Connect Concepts in Assistive Communication Tools}. \emph{Modeling, Learning and Processing of Text Technological Data Structures}, 2011. \end{enumerate} \subsection{\ifumd 2.B. \fi Articles in Refereed Journals} \begin{enumerate} \item \underline{Viet-An Nguyen}, {\bf Jordan Boyd-Graber}, and Stephen Altschul. {\bf Dirichlet Mixtures, the Dirichlet Process, and the Structure of Protein Space}. \emph{Journal of Computational Biology}, 2013. \item \underline{Yuening Hu}, {\bf Jordan Boyd-Graber}, Brianna Satinoff, and Alison Smith. {\bf Interactive Topic Modeling}. \emph{Machine Learning}, 2013. \item \underline{Viet-An Nguyen}, {\bf Jordan Boyd-Graber}, Philip Resnik, Deborah Cai, Jennifer Midberry, and Yuanxin Wang. {\bf Modeling Topic Control to Detect Influence in Conversations using Nonparametric Topic Models}. \emph{Machine Learning}, 2013. \item Alexander Geyken and {\bf Jordan Boyd-Graber}. {\bf Automatic classification of multi-word expressions in print dictionaries}. \emph{Linguisticae Investigationes}, 2003. \end{enumerate} \subsection{\ifumd 2.E.ii. \fi Refereed Conferences} \begin{enumerate} \item \underline{Mohit Iyyer}, {\bf Jordan Boyd-Graber}, Leonardo Claudino, Richard Socher, and Hal Daume III. {\bf A Neural Network for Factoid Question Answering over Paragraphs}. \emph{Empirical Methods in Natural Language Processing}, 2014 (26\% Acceptance Rate). \item \underline{Thang Nguyen}, \underline{Yuening Hu}, and {\bf Jordan Boyd-Graber}. {\bf Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms}. \emph{Association for Computational Linguistics}, 2014 (26\% Acceptance Rate). \item Alvin {Grissom II}, {\bf Jordan Boyd-Graber}, He He, John Morgan, and Hal {Daum\'{e} III}. {\bf Don't Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation}. \emph{Empirical Methods in Natural Language Processing}, 2014. \item \underline{Kimberly Glasgow}, Clay Fink, and {\bf Jordan Boyd-Graber}. {\bf Our grief is unspeakable: Measuring the community impact of a tragedy}. \emph{The International AAAI Conference on Weblogs and Social Media}, 2014. \item \underline{Mohit Iyyer}, Peter Enns, {\bf Jordan Boyd-Graber}, and Philip Resnik. {\bf Political Ideology Detection Using Recursive Neural Networks}. \emph{Association for Computational Linguistics}, 2014 (26\% Acceptance Rate). \item \underline{Yuening Hu}, \underline{Ke Zhai}, Vlad Eidelman, and {\bf Jordan Boyd-Graber}. {\bf Polylingual Tree-Based Topic Models for Translation Domain Adaptation}. \emph{Association for Computational Linguistics}, 2014 (26\% Acceptance Rate). \item \underline{Viet-An Nguyen}, {\bf Jordan Boyd-Graber}, and Philip Resnik. {\bf Sometimes Average is Best: The Importance of Averaging for Prediction using MCMC Inference in Topic Modeling}. \emph{Empirical Methods in Natural Language Processing}, 2014. \item \underline{Viet-An Nguyen}, \underline{Yuening Hu}, {\bf Jordan Boyd-Graber}, and Philip Resnik. {\bf Argviz: Interactive Visualization of Topic Dynamics in Multi-party Conversations}. \emph{North American Association for Computational Linguistics}, 2013 (50\% Acceptance Rate). \item \underline{Yuening Hu}, {\bf Jordan Boyd-Graber}, Hal Daume III, and Z. Irene Ying. {\bf Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent}. \emph{Neural Information Processing Systems}, 2013 (25\% Acceptance Rate). \item Naho Orita, Rebecca McKeown, Naomi H. Feldman, Jeffrey Lidz, and {\bf Jordan Boyd-Graber}. {\bf Discovering Pronoun Categories using Discourse Information}. \emph{Proceedings of the Cognitive Science Society}, 2013. \item \underline{Viet-An Nguyen}, {\bf Jordan Boyd-Graber}, and Philip Resnik. {\bf Lexical and Hierarchical Topic Regression}. \emph{Neural Information Processing Systems}, 2013 (25\% Acceptance Rate). \item \underline{Ke Zhai} and {\bf Jordan Boyd-Graber}. {\bf Online Topic Models with Infinite Vocabulary}. \emph{International Conference on Machine Learning}, 2013 (20\% Acceptance Rate). \item {\bf Jordan Boyd-Graber}, \underline{Kimberly Glasgow}, and Jackie Sauter Zajac. {\bf 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. \item {\bf Jordan Boyd-Graber}, \underline{Brianna Satinoff}, He He, and Hal {Daum\'{e} III}. {\bf Besting the Quiz Master: Crowdsourcing Incremental Classification Games}. \emph{Empirical Methods in Natural Language Processing}, 2012 (25\% Acceptance Rate). \item \underline{Yuening Hu} and {\bf Jordan Boyd-Graber}. {\bf Efficient Tree-Based Topic Modeling}. \emph{Association for Computational Linguistics}, 2012 (21\% Acceptance Rate). \item Asad B. Sayeed, {\bf Jordan Boyd-Graber}, Bryan Rusk, and Amy Weinberg. {\bf Grammatical structures for word-level sentiment detection}. \emph{North American Association of Computational Linguistics}, 2012 (31\% Acceptance Rate). \item \underline{Yuening Hu}, \underline{Ke Zhai}, Sinead Williamson, and {\bf Jordan Boyd-Graber}. {\bf Modeling Images using Transformed {I}ndian Buffet Processes}. \emph{International Conference of Machine Learning}, 2012 (27\% Acceptance Rate). \item Vladimir Eidelman, {\bf Jordan Boyd-Graber}, and Philip Resnik. {\bf Topic Models for Dynamic Translation Model Adaptation}. \emph{Association for Computational Linguistics}, 2012 (21\% Acceptance Rate). \item \underline{Ke Zhai}, {\bf Jordan Boyd-Graber}, Nima Asadi, and \underline{Mohamad Alkhouja}. {\bf {Mr. LDA}: A Flexible Large Scale Topic Modeling Package using Variational Inference in MapReduce}. \emph{ACM International Conference on World Wide Web}, 2012 (12\% Acceptance Rate). \item \underline{Viet-An Nguyen}, {\bf Jordan Boyd-Graber}, and Philip Resnik. {\bf {SITS}: A Hierarchical Nonparametric Model using Speaker Identity for Topic Segmentation in Multiparty Conversations}. \emph{Association for Computational Linguistics}, 2012 (19\% Acceptance Rate). \item Clay Templeton, Kenneth R. Fleischmann, and {\bf Jordan Boyd-Graber}. {\bf Comparing Values and Sentiment Using Mechanical Turk}. \emph{iConference}, 2011. \item \underline{Yuening Hu}, {\bf Jordan Boyd-Graber}, and \underline{Brianna Satinoff}. {\bf Interactive Topic Modeling}. \emph{Association for Computational Linguistics}, 2011 (25\% Acceptance Rate). \item Kenneth R. Fleischmann, Clay Templeton, and {\bf Jordan Boyd-Graber}. {\bf Modeling Diverse Standpoints in Text Classification: Learning to Be Human by Modeling Human Values}. \emph{iConference}, 2011. \item Clay Templeton, Kenneth R. Fleischmann, and {\bf Jordan Boyd-Graber}. {\bf Simulating Audiences: Automating Analysis of Values, Attitudes, and Sentiment}. \emph{IEEE International Conference on Social Computing}, 2011 (10\% Acceptance Rate). \item {\bf Jordan Boyd-Graber} and Philip Resnik. {\bf Holistic Sentiment Analysis Across Languages: Multilingual Supervised Latent Dirichlet Allocation}. \emph{Empirical Methods in Natural Language Processing}, 2010 (25\% Acceptance Rate). \item \underline{Eric Hardisty}, {\bf Jordan Boyd-Graber}, and Philip Resnik. {\bf Modeling Perspective using Adaptor Grammars}. \emph{Empirical Methods in Natural Language Processing}, 2010 (25\% Acceptance Rate). \item Sonya S. Nikolova, {\bf Jordan Boyd-Graber}, Christiane Fellbaum, and Perry Cook. {\bf Better Vocabularies for Assistive Communication Aids: Connecting Terms using Semantic Networks and Untrained Annotators}. \emph{ACM Conference on Computers and Accessibility}, 2009 (31\% Acceptance Rate). \item Jonathan Chang, {\bf Jordan Boyd-Graber}, and David M. Blei. {\bf Connections between the Lines: Augmenting Social Networks with Text}. \emph{Refereed Conference on Knowledge Discovery and Data Mining}, 2009 (9\% Acceptance Rate). \item {\bf Jordan Boyd-Graber} and David M. Blei. {\bf Multilingual Topic Models for Unaligned Text}. \emph{Uncertainty in Artificial Intelligence}, 2009 (31\% Acceptance Rate). \item Jonathan Chang, {\bf Jordan Boyd-Graber}, Chong Wang, Sean Gerrish, and David M. Blei. {\bf Reading Tea Leaves: How Humans Interpret Topic Models}. \emph{Neural Information Processing Systems}, 2009 (24\% Acceptance Rate). \item Xiaojuan Ma, {\bf Jordan Boyd-Graber}, Sonya S. Nikolova, and Perry Cook. {\bf Speaking Through Pictures: Images vs. Icons}. \emph{ACM Conference on Computers and Accessibility}, 2009 (31\% Acceptance Rate). \item {\bf Jordan Boyd-Graber} and David M. Blei. {\bf Syntactic Topic Models}. \emph{Neural Information Processing Systems}, 2008 (25\% Acceptance Rate). \item {\bf Jordan Boyd-Graber}, David M. Blei, and Xiaojin Zhu. {\bf A Topic Model for Word Sense Disambiguation}. \emph{Empirical Methods in Natural Language Processing}, 2007 (27\% Acceptance Rate). \item {\bf Jordan Boyd-Graber}, Christiane Fellbaum, Daniel Osherson, and Robert Schapire. {\bf Adding Dense, Weighted, Connections to {WordNet}}. \emph{Proceedings of the Global {WordNet} Conference}, 2006. \item {\bf 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. {\bf Participatory design with proxies: {D}eveloping a desktop-{PDA} system to support people with aphasia}. \emph{Computer-Human Interaction}, 2006 (23\% Acceptance Rate). \end{enumerate} \subsection{\ifumd 2.E.ii. \fi Refereed Workshops} \begin{enumerate} \item Alison Smith, Jason Chuang, \underline{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 Naho Orita, Naomi Feldman, and {\bf Jordan Boyd-Graber}. {\bf Quantifying the role of discourse topicality in speakers' choices of referring expressions}. \emph{ACL Workshop on Cognitive Modeling and Computational Linguistics}, 2014. \item Thang Nguyen, \underline{Yuening Hu}, and {\bf Jordan Boyd-Graber}. {\bf Evaluating Regularized Anchor Words}. \emph{NIPS Workshop on Topic Models: Computation, Application, and Evaluation}, 2013. \item \underline{Yuening Hu}, \underline{Ke Zhai}, Vlad Edelman, and {\bf Jordan Boyd-Graber}. {\bf Topic Models for Translation Domain Adaptation}. \emph{NIPS Workshop on Topic Models: Computation, Application, and Evaluation}, 2013. \item \underline{Viet-An Nguyen}, {\bf Jordan Boyd-Graber}, Jonathan Chang, and Philip Resnik. {\bf Tree-Based Label Dependency Topic Models}. \emph{NIPS Workshop on Topic Models: Computation, Application, and Evaluation}, 2013. \item \underline{Yuening Hu} and {\bf Jordan Boyd-Graber}. {\bf Bayesian Hierarchical Clustering with Beta Coalescents}. \emph{Mid-Atlantic Student Colloquium on Speech, Language, and Learning}, 2012. \item \underline{Ke Zhai} and {\bf Jordan Boyd-Graber}. {\bf Online Topic Model with Infinite Vocabulary}. \emph{Mid-Atlantic Student Colloquium on Speech, Language, and Learning}, 2012. \item \underline{Yuening Hu} and {\bf Jordan Boyd-Graber}. {\bf Suggesting Constraints for Interactive Topic Modeling}. \emph{ICML Workshop on Machine Learning in Human Computation and Crowdsourcing}, 2012. \item \underline{Viet-An Nguyen}, {\bf Jordan Boyd-Graber}, and Philip Resnik. {\bf ``I Want to Talk About, Again, My Record On Energy~\dots'': Modeling Topic Control in Conversations using Speaker-centric Nonparametric Topic Models}. \emph{Mid-Atlantic Student Colloquium on Speech, Language, and Learning}, 2012. \item Pranav Anand, Joseph King, {\bf Jordan Boyd-Graber}, Earl Wagner, Craig Martell, Douglas W. Oard, and Philip Resnik. {\bf Believe Me: We Can Do This!}. \emph{The AAAI 2011 workshop on Computational Models of Natural Argument}, 2011. \item {\bf Jordan Boyd-Graber}. {\bf Linguistic Resource Creation in a Web 2.0 World}. \emph{NSF Workshop on Collaborative Annotation}, 2011. \item Clay Templeton, Travis Brown, Sayan Battacharyya, and {\bf Jordan Boyd-Graber}. {\bf Mining the Dispatch under Supervision: Using Casualty Counts to Guide Topics from the Richmond Daily Dispatch Corpus}. \emph{Chicago Colloquium on Digital Humanities and Computer Science}, 2011. \item \underline{Brianna Satinoff} and {\bf Jordan Boyd-Graber}. {\bf Trivial Classification: What features do humans use for classification?}. \emph{Workshop on Crowdsourcing Technologies for Language and Cognition Studies}, 2011. \item Nitin Madnani, {\bf Jordan Boyd-Graber}, and Philip Resnik. {\bf Measuring Transitivity Using Untrained Annotators}. \emph{Creating Speech and Language Data With Amazon's Mechanical Turk}, 2010. \item Sonya S. Nikolova, {\bf Jordan Boyd-Graber}, and Perry Cook. {\bf The Design of ViVA: A Mixed-initiative Visual Vocabulary for Aphasia}. \emph{Proceedings of the 27th international conference extended abstracts on Human factors in computing systems}, 2009. \item Jonathan Chang, {\bf Jordan Boyd-Graber}, and David M. Blei. {\bf Discovering social networks from free text}. \emph{3rd Annual Machine Learning Symposium}, 2008. \item {\bf Jordan Boyd-Graber} and David M. Blei. {\bf Multilingual Topic Models}. \emph{NIPS Workshop on Unsupervised Latent Variable Models}, 2008. \item {\bf Jordan Boyd-Graber} and David M. Blei. {\bf {PUTOP}: {T}urning Predominant Senses into a Topic Model for {WSD}}. \emph{4th International Workshop on Semantic Evaluations}, 2007. \end{enumerate}