Jordan Boyd-Graber

Cited by

	All	Since 2016
Citations	7810	5579
h-index	38	35
i10-index	80	66

1400

700

350

1050

2008200920102011201220132014201520162017201820192020202135 49 143 178 249 359 497 613 828 955 1080 1301 1385 22

Co-authors

Philip ResnikProfessor, Linguistics and UMIACS, University of MarylandVerified email at umd.edu
Mohit IyyerAssistant Professor, University of Massachusetts AmherstVerified email at cs.umass.edu
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandVerified email at umiacs.umd.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu
Yuening HuComputer Science, University of Maryland, College ParkVerified email at cs.umd.edu
Alison M Smith-RennerComputer Science PhD, University of MarylandVerified email at cs.umd.edu
Leah FindlaterAssociate Professor, University of WashingtonVerified email at uw.edu
Jonathan ChangFacebookVerified email at fb.com
Ke ZhaiUniversity of Maryland, College ParkVerified email at umd.edu
Viet-An NguyenData Scientist, FacebookVerified email at fb.com
Kevin SeppiProfessor of Computer Science, Brigham Young UniversityVerified email at cs.byu.edu
Shi FengUniversity of Maryland, College ParkVerified email at cs.umd.edu
He HeNew York UniversityVerified email at cs.nyu.edu
Varun ManjunathaResearch Scientist, Adobe ResearchVerified email at cs.umd.edu
Leonardo ClaudinoHCPS-NINDS-NIHVerified email at nih.gov
Alvin Grissom IIAssistant Professor, Haverford CollegeVerified email at haverford.edu
Pedro RodriguezPhD Candidate, University of Maryland at College ParkVerified email at cs.umd.edu
Eric WallaceUC BerkeleyVerified email at berkeley.edu
Chong WangHead of AML Research at ByteDanceVerified email at cs.princeton.edu
Sean GerrishSoftware Engineer, Google Inc.Verified email at cs.princeton.edu

Jordan Boyd-Graber

Associate Professor, University of Maryland

Verified email at umiacs.umd.edu - Homepage

Machine Learning Computational Linguistics Natural Language Processing Topic Models Question Answering


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Reading tea leaves: How humans interpret topic models J Chang, J Boyd-Graber, S Gerrish, C Wang, DM Blei Neural Information Processing Systems (NIPS) 31, 2009	2000	2009
Deep unordered composition rivals syntactic methods for text classification M Iyyer, V Manjunatha, J Boyd-Graber, H Daumé III Proceedings of the 53rd annual meeting of the association for computational …, 2015	621	2015
A neural network for factoid question answering over paragraphs M Iyyer, J Boyd-Graber, L Claudino, R Socher, H Daumé III Proceedings of the 2014 conference on empirical methods in natural language …, 2014	367	2014
Interactive topic modeling Y Hu, J Boyd-Graber, B Satinoff, A Smith Machine learning 95 (3), 423-469, 2014	306	2014
A topic model for word sense disambiguation J Boyd-Graber, D Blei, X Zhu Conference on Empirical Methods in Natural Language Processing (EMNLP), 1024 …, 2007	291	2007
Syntactic topic models J Boyd-Graber, DM Blei Neural Information Processing Systems (NIPS), 2008	257	2008
Political ideology detection using recursive neural networks M Iyyer, P Enns, J Boyd-Graber, P Resnik Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014	224	2014
Multilingual topic models for unaligned text J Boyd-Graber, D Blei arXiv preprint arXiv:1205.2657, 2012	185	2012
Mr. LDA: A flexible large scale topic modeling package using variational inference in mapreduce K Zhai, J Boyd-Graber, N Asadi, ML Alkhouja Proceedings of the 21st international conference on World Wide Web, 879-888, 2012	176	2012
Adding dense, weighted connections to WordNet J Boyd-Graber, C Fellbaum, D Osherson, R Schapire Proceedings of the third international WordNet conference, 29-36, 2006	161	2006
Connections between the lines: augmenting social networks with text J Chang, J Boyd-Graber, DM Blei Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	154	2009
Holistic sentiment analysis across languages: Multilingual supervised latent Dirichlet allocation J Boyd-Graber, P Resnik Proceedings of the 2010 Conference on Empirical Methods in Natural Language …, 2010	140	2010
Opponent modeling in deep reinforcement learning H He, J Boyd-Graber, K Kwok, H Daumé III International conference on machine learning, 1804-1813, 2016	139	2016
Care and feeding of topic models: Problems, diagnostics, and improvements J Boyd-Graber, D Mimno, D Newman Handbook of mixed membership models and their applications 225255, 2014	138	2014
Beyond LDA: exploring supervised topic modeling for depression-related language in Twitter P Resnik, W Armstrong, L Claudino, T Nguyen, VA Nguyen, ... Proceedings of the 2nd Workshop on Computational Linguistics and Clinical …, 2015	122	2015
Applications of topic models JL Boyd-Graber, Y Hu, D Mimno now Publishers Incorporated, 2017	116	2017
Participatory design with proxies: developing a desktop-PDA system to support people with aphasia JL Boyd-Graber, SS Nikolova, KA Moffatt, KC Kin, JY Lee, LW Mackey, ... Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2006	114	2006
Pathologies of neural models make interpretations difficult S Feng, E Wallace, A Grissom II, M Iyyer, P Rodriguez, J Boyd-Graber arXiv preprint arXiv:1804.07781, 2018	105	2018
Topic models for dynamic translation model adaptation V Eidelman, J Boyd-Graber, P Resnik Proceedings of the 50th Annual Meeting of the Association for Computational …, 2012	102	2012
Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships M Iyyer, A Guha, S Chaturvedi, J Boyd-Graber, H Daumé III	93	2016

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors