Dan Roth

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Scott Wen-tau YihFacebook AI ResearchVerified email at fb.com
Ming-Wei ChangGoogle ResearchVerified email at google.com
Xin LiAlibaba, UIUC, YahooVerified email at alibaba-inc.com
Vivek SrikumarAssociate Professor, School of Computing, University of UtahVerified email at cs.utah.edu
Daniel KhashabiAllen Institute for AIVerified email at allenai.org
Alla RozovskayaAssistant Professor, Queens College, CUNYVerified email at qc.cuny.edu
Shyam UpadhyayResearch Scientist, GoogleVerified email at google.com
Dan GoldwasserPurdue UniversityVerified email at purdue.edu
Roni KhardonProfessor of Computer Science, Indiana University, BloomingtonVerified email at iu.edu
Yangqiu SongHKUSTVerified email at cse.ust.hk
Kai-Wei ChangAssistant Professor, UCLAVerified email at kwchang.net
Kevin SmallMachine Learning Scientist, AmazonVerified email at amazon.com
Stephen MayhewDuolingoVerified email at seas.upenn.edu
Qiang NingAmazonVerified email at amazon.com
Haoruo PengPhd student at UIUCVerified email at illinois.edu
Sariel Har-PeledProfessor of Computer Science, UIUCVerified email at uiuc.edu
Rodrigo de Salvo BrazComputer Scientist, SRI InternationalVerified email at ai.sri.com
Ido DaganProfessor, Computer Science Department, Bar-Ilan UniversityVerified email at cs.biu.ac.il
Chen-Tse TsaiResearch Scientist, Bloomberg L.P.Verified email at bloomberg.net
Quang DoUniversity of Illinois, FacebookVerified email at fb.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	1764	2007
Advances in neural information processing systems 22 DD Lee, P Pham, Y Largman, A Ng Tech. Rep., Tech. Rep, 2009	1736*	2009
Design challenges and misconceptions in named entity recognition L Ratinov, D Roth Proceedings of the Thirteenth Conference on Computational Natural Language …, 2009	1538	2009
Learning question classifiers X Li, D Roth COLING 2002: The 19th International Conference on Computational Linguistics, 2002	1254	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	1187	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	907	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	775	2011
On the hardness of approximate reasoning D Roth Artificial Intelligence 82 (1-2), 273-302, 1996	758	1996
Learning a sparse representation for object detection S Agarwal, D Roth European conference on computer vision, 113-127, 2002	751	2002
A snowbased face detector D Roth, MH Yang, N Ahuja Neural Information Processing 12, 2000	543*	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	479	2008
A winnow-based approach to context-sensitive spelling correction AR Golding, D Roth Machine learning 34 (1), 107-130, 1999	435	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	420	2004
1 Lifted First-Order Probabilistic Inference R de Salvo Braz, E Amir, D Roth Introduction to statistical relational learning, 433, 2019	379*	2019
Learning question classifiers: the role of semantic information X Li, D Roth Natural Language Engineering 12 (3), 229-250, 2006	349	2006
Understanding the value of features for coreference resolution E Bengtson, D Roth Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008	333	2008
Knowing what to believe (when you already know something) J Pasternack, D Roth Proceedings of the 23rd International Conference on Computational …, 2010	322	2010
Recognizing textual entailment: Rational, evaluation and approaches–erratum I Dagan, B Dolan, B Magnini, D Roth Natural Language Engineering 16 (1), 105-105, 2010	292	2010
Mistake-driven learning in text categorization I Dagan, Y Karov, D Roth arXiv preprint cmp-lg/9706006, 1997	290	1997
Learning to resolve natural language ambiguities: A unified approach D Roth AAAI/IAAI, 806-813, 1998	278	1998

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