\newif\ifumd\umdtrue
Students directly advised or co-advised \underline{in underline}.
\subsection{Assistive Technology}


\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.

\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 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}, 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{Bayesian Non-parametrics}


\begin{enumerate}
\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 \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 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{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 \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 \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{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 \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{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 \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 \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 {\bf Jordan Boyd-Graber} and David M. Blei.  {\bf Syntactic Topic Models}.  \emph{Neural Information Processing Systems}, 2008 (25\% Acceptance Rate).


\end{enumerate}
\subsection{Computational Biology}


\begin{enumerate}
\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 \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.


\end{enumerate}
\subsection{Data Mining}


\begin{enumerate}
\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{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 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 Jonathan Chang, {\bf Jordan Boyd-Graber}, and David M. Blei.  {\bf Discovering social networks from free text}.  \emph{3rd Annual Machine Learning Symposium}, 2008.


\end{enumerate}
\subsection{Deep Learning}


\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{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).


\end{enumerate}
\subsection{Digital Humanities}


\begin{enumerate}
\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.


\end{enumerate}
\subsection{Empirical Human Data Collection}


\begin{enumerate}
\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 Suggesting Constraints for Interactive Topic Modeling}.  \emph{ICML Workshop on Machine Learning in Human Computation and Crowdsourcing}, 2012.

\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.

\item Clay Templeton, Kenneth R. Fleischmann, and {\bf Jordan Boyd-Graber}.  {\bf Comparing Values and Sentiment Using Mechanical Turk}.  \emph{iConference}, 2011.

\item {\bf Jordan Boyd-Graber}.  {\bf Linguistic Resource Creation in a Web 2.0 World}.  \emph{NSF Workshop on Collaborative Annotation}, 2011.

\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 \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 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 {\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.


\end{enumerate}
\subsection{Human-Computer Interaction}


\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 \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}, Brianna Satinoff, and Alison Smith.  {\bf Interactive Topic Modeling}.  \emph{Machine Learning}, 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 Suggesting Constraints for Interactive Topic Modeling}.  \emph{ICML Workshop on Machine Learning in Human Computation and Crowdsourcing}, 2012.

\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 \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 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 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}, 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{Images}


\begin{enumerate}
\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 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).


\end{enumerate}
\subsection{Lexical Semantics}


\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.

\item {\bf Jordan Boyd-Graber}.  {\bf Linguistic Resource Creation in a Web 2.0 World}.  \emph{NSF Workshop on Collaborative Annotation}, 2011.

\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} and David M. Blei.  {\bf {PUTOP}: {T}urning Predominant Senses into a Topic Model for {WSD}}.  \emph{4th International Workshop on Semantic Evaluations}, 2007.

\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.


\end{enumerate}
\subsection{MCMC Inference}


\begin{enumerate}
\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{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 \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{Yuening Hu} and {\bf Jordan Boyd-Graber}.  {\bf Efficient Tree-Based Topic Modeling}.  \emph{Association for Computational Linguistics}, 2012 (21\% 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).


\end{enumerate}
\subsection{Machine Translation}


\begin{enumerate}
\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{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{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 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).


\end{enumerate}
\subsection{Multilingual Corpora}


\begin{enumerate}
\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 {\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 {\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 {\bf Jordan Boyd-Graber} and David M. Blei.  {\bf Multilingual Topic Models}.  \emph{NIPS Workshop on Unsupervised Latent Variable Models}, 2008.


\end{enumerate}
\subsection{Question Answering}


\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 {\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).


\end{enumerate}
\subsection{Reinforcement Learning}


\begin{enumerate}
\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 {\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).


\end{enumerate}
\subsection{Sentiment and Perspective}


\begin{enumerate}
\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{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{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{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 {\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 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{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 \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 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 Clay Templeton, Kenneth R. Fleischmann, and {\bf Jordan Boyd-Graber}.  {\bf Comparing Values and Sentiment Using Mechanical Turk}.  \emph{iConference}, 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 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).


\end{enumerate}
\subsection{Spectral Methods}


\begin{enumerate}
\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 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.


\end{enumerate}
\subsection{Syntax}


\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{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 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 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 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 {\bf Jordan Boyd-Graber} and David M. Blei.  {\bf Syntactic Topic Models}.  \emph{Neural Information Processing Systems}, 2008 (25\% Acceptance Rate).


\end{enumerate}
\subsection{Topic Models}


\begin{enumerate}
\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 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 \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 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 \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 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 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}, {\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}, 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 \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 Efficient Tree-Based Topic Modeling}.  \emph{Association for Computational Linguistics}, 2012 (21\% Acceptance Rate).

\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 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{Yuening Hu}, {\bf Jordan Boyd-Graber}, and \underline{Brianna Satinoff}.  {\bf Interactive Topic Modeling}.  \emph{Association for Computational Linguistics}, 2011 (25\% Acceptance Rate).

\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 {\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 {\bf Jordan Boyd-Graber}.  {\bf Linguistic Extensions of Topic Models}.  2010.

\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 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 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} 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}
\subsection{Variational Inference}


\begin{enumerate}
\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{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 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 Syntactic Topic Models}.  \emph{Neural Information Processing Systems}, 2008 (25\% Acceptance Rate).


\end{enumerate}