Dan Roth - Google Scholar

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Scott Wen-tau YihFacebook AI ResearchVerified email at fb.com
Xin LiAlibaba, UIUC, YahooVerified email at alibaba-inc.com
Ming-Wei ChangGoogle ResearchVerified email at google.com
Vivek SrikumarAssociate Professor, School of Computing, University of UtahVerified email at cs.utah.edu
Alla RozovskayaAssistant Professor, Queens College, CUNYVerified email at qc.cuny.edu
Dan GoldwasserPurdue UniversityVerified email at purdue.edu
Roni KhardonProfessor of Computer Science, Indiana University, BloomingtonVerified email at iu.edu
Kai-Wei ChangAssistant Professor, UCLAVerified email at kwchang.net
Shyam UpadhyayResearch Scientist, GoogleVerified email at google.com
Daniel KhashabiAllen Institute for AIVerified email at allenai.org
Kevin SmallMachine Learning Scientist, AmazonVerified email at amazon.com
Yangqiu SongHKUSTVerified email at cse.ust.hk
Haoruo PengPhd student at UIUCVerified email at illinois.edu
Rodrigo de Salvo BrazComputer Scientist, SRI InternationalVerified email at ai.sri.com
Stephen MayhewDuolingoVerified email at seas.upenn.edu
Quang DoUniversity of Illinois, FacebookVerified email at fb.com
Chen-Tse TsaiResearch Scientist, Bloomberg L.P.Verified email at bloomberg.net
Ido DaganProfessor, Computer Science Department, Bar-Ilan UniversityVerified email at cs.biu.ac.il
Sariel Har-PeledProfessor of Computer Science, UIUCVerified email at uiuc.edu
Qiang NingAmazonVerified email at amazon.com

Dan Roth

Professor of Computer Science, University of Pennsylvania

Verified email at seas.upenn.edu - Homepage

Natural Language Processing Machine Learning Knowledge Representation and Reasoning Artificial Intelligence


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Introduction to statistical relational learning D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ... MIT press, 2007	1677	2007
Design challenges and misconceptions in named entity recognition L Ratinov, D Roth Proceedings of the Thirteenth Conference on Computational Natural Language …, 2009	1393	2009
Learning question classifiers X Li, D Roth COLING 2002: The 19th International Conference on Computational Linguistics, 2002	1157	2002
Learning to detect objects in images via a sparse, part-based representation S Agarwal, A Awan, D Roth IEEE transactions on pattern analysis and machine intelligence 26 (11), 1475 …, 2004	1132	2004
Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference S Thrun, LK Saul, B Schölkopf MIT press, 2004	983*	2004
Emotions from text: machine learning for text-based emotion prediction CO Alm, D Roth, R Sproat Proceedings of human language technology conference and conference on …, 2005	823	2005
Local and global algorithms for disambiguation to wikipedia L Ratinov, D Roth, D Downey, M Anderson Proceedings of the 49th annual meeting of the association for computational …, 2011	737	2011
Learning a sparse representation for object detection S Agarwal, D Roth European conference on computer vision, 113-127, 2002	724	2002
On the hardness of approximate reasoning D Roth Artificial Intelligence 82 (1-2), 273-302, 1996	714	1996
A SNoW-based face detector MH Yang, D Roth, N Ahuja Advances in neural information processing systems, 862-868, 2000	526	2000
The importance of syntactic parsing and inference in semantic role labeling V Punyakanok, D Roth, W Yih Computational Linguistics 34 (2), 257-287, 2008	448	2008
A winnow-based approach to context-sensitive spelling correction AR Golding, D Roth Machine learning 34 (1-3), 107-130, 1999	430	1999
A linear programming formulation for global inference in natural language tasks D Roth, W Yih ILLINOIS UNIV AT URBANA-CHAMPAIGN DEPT OF COMPUTER SCIENCE, 2004	391	2004
Learning question classifiers: the role of semantic information X Li, D Roth Natural Language Engineering 12 (3), 229-249, 2006	333	2006
Constraint classification for multiclass classification and ranking S Har-Peled, D Roth, D Zimak Advances in neural information processing systems, 809-816, 2003	319	2003
Understanding the value of features for coreference resolution E Bengtson, D Roth Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008	314	2008
Knowing what to believe (when you already know something) J Pasternack, D Roth Proceedings of the 23rd International Conference on Computational …, 2010	300	2010
Lifted first-order probabilistic inference RDS Braz, E Amir, D Roth Proceedings of the 19th international joint conference on Artificial …, 2005	280	2005
Mistake-driven learning in text categorization I Dagan, Y Karov, D Roth arXiv preprint cmp-lg/9706006, 1997	280	1997
Learning to resolve natural language ambiguities: A unified approach D Roth AAAI/IAAI, 806-813, 1998	276	1998

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