| 2013 | ||
|---|---|---|
| j1 | Viet-An Nguyen, Jordan L. Boyd-Graber, Stephen F. Altschul: Dirichlet Mixtures, the Dirichlet Process, and the Structure of Protein Space. Journal of Computational Biology 20(1): 1-18 (2013) | |
| 2012 | ||
| c23 | Viet-An Nguyen, Jordan L. Boyd-Graber, Philip Resnik: SITS: A Hierarchical Nonparametric Model using Speaker Identity for Topic Segmentation in Multiparty Conversations. ACL (1) 2012: 78-87 | |
| c22 | Vladimir Eidelman, Jordan L. Boyd-Graber, Philip Resnik: Topic Models for Dynamic Translation Model Adaptation. ACL (2) 2012: 115-119 | |
| c21 | ||
| c20 | Jordan L. Boyd-Graber, Brianna Satinoff, He He, Hal Daumé III: Besting the Quiz Master: Crowdsourcing Incremental Classification Games. EMNLP-CoNLL 2012: 1290-1301 | |
| c19 | Ke Zhai, Yuening Hu, Jordan L. Boyd-Graber, Sinead Williamson: Modeling Images using Transformed Indian Buffet Processes. ICML 2012 | |
| c18 | Asad B. Sayeed, Jordan L. Boyd-Graber, Bryan Rusk, Amy Weinberg: Grammatical structures for word-level sentiment detection. HLT-NAACL 2012: 667-676 | |
| c17 | Ke Zhai, Jordan L. Boyd-Graber, Nima Asadi, Mohamad L. Alkhouja: Mr. LDA: a flexible large scale topic modeling package using variational inference in MapReduce. WWW 2012: 879-888 | |
| i3 | Jordan L. Boyd-Graber, David M. Blei: Multilingual Topic Models for Unaligned Text. CoRR abs/1205.2657 (2012) | |
| 2011 | ||
| c16 | Pranav Anand, Joseph King, Jordan L. Boyd-Graber, Earl Wagner, Craig H. Martell, Douglas W. Oard, Philip Resnik: Believe Me - We Can Do This! Annotating Persuasive Acts in Blog Text. Computational Models of Natural Argument 2011 | |
| c15 | ||
| c14 | Kenneth R. Fleischmann, Thomas Clay Templeton, Jordan L. Boyd-Graber: Modeling diverse standpoints in text classification: learning to be human by modeling human values. iConference 2011: 672-673 | |
| c13 | Thomas Clay Templeton, Kenneth R. Fleischmann, Jordan L. Boyd-Graber: Comparing values and sentiment using Mechanical Turk. iConference 2011: 783-784 | |
| c12 | Thomas Clay Templeton, Kenneth R. Fleischmann, Jordan L. Boyd-Graber: Simulating Audiences: Automating Analysis of Values, Attitudes, and Sentiment. SocialCom/PASSAT 2011: 734-737 | |
| i2 | Ke Zhai, Jordan L. Boyd-Graber, Nima Asadi: Using Variational Inference and MapReduce to Scale Topic Modeling. CoRR abs/1107.3765 (2011) | |
| 2010 | ||
| c11 | Jordan L. Boyd-Graber, Philip Resnik: Holistic Sentiment Analysis Across Languages: Multilingual Supervised Latent Dirichlet Allocation. EMNLP 2010: 45-55 | |
| c10 | Eric Hardisty, Jordan L. Boyd-Graber, Philip Resnik: Modeling Perspective Using Adaptor Grammars. EMNLP 2010: 284-292 | |
| i1 | ||
| 2009 | ||
| c9 | Xiaojuan Ma, Jordan L. Boyd-Graber, Sonya S. Nikolova, Perry R. Cook: Speaking through pictures: images vs. icons. ASSETS 2009: 163-170 | |
| c8 | Sonya S. Nikolova, Jordan L. Boyd-Graber, Christiane Fellbaum, Perry R. Cook: Better vocabularies for assistive communication aids: connecting terms using semantic networks and untrained annotators. ASSETS 2009: 171-178 | |
| c7 | Sonya S. Nikolova, Jordan L. Boyd-Graber, Perry R. Cook: The design of ViVA: a mixed-initiative visual vocabulary for aphasia. CHI Extended Abstracts 2009: 4015-4020 | |
| c6 | Jonathan Chang, Jordan L. Boyd-Graber, David M. Blei: Connections between the lines: augmenting social networks with text. KDD 2009: 169-178 | |
| c5 | Jonathan Chang, Jordan L. Boyd-Graber, Sean Gerrish, Chong Wang, David M. Blei: Reading Tea Leaves: How Humans Interpret Topic Models. NIPS 2009: 288-296 | |
| c4 | ||
| 2008 | ||
| c3 | ||
| 2007 | ||
| c2 | Jordan L. Boyd-Graber, David M. Blei, Xiaojin Zhu: A Topic Model for Word Sense Disambiguation. EMNLP-CoNLL 2007: 1024-1033 | |
| 2006 | ||
| c1 | Jordan L. Boyd-Graber, Sonya S. Nikolova, Karyn Moffatt, Kenrick C. Kin, Joshua Y. Lee, Lester W. Mackey, Marilyn Tremaine, Maria M. Klawe: Participatory design with proxies: developing a desktop-PDA system to support people with aphasia. CHI 2006: 151-160 | |
Colors in the list of coauthors
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