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
Qiang NingAmazonVerified email at amazon.com
Shyam UpadhyayResearch Scientist, GoogleVerified email at google.com
Yangqiu SongHKUSTVerified email at cse.ust.hk
Alla RozovskayaAssistant Professor, Queens College, CUNYVerified email at qc.cuny.edu
Stephen MayhewDuolingoVerified email at seas.upenn.edu
Dan GoldwasserPurdue UniversityVerified email at purdue.edu
Kai-Wei ChangAssistant Professor, UCLAVerified email at kwchang.net
Roni KhardonProfessor of Computer Science, Indiana University, BloomingtonVerified email at iu.edu
Kevin SmallMachine Learning Scientist, AmazonVerified email at amazon.com
Shivani AgarwalUniversity of PennsylvaniaVerified email at seas.upenn.edu
Haoruo PengNewsBreakVerified email at illinois.edu
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
Rodrigo de Salvo BrazResearch Scientist, Facebook, Inc.Verified 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	1875	2007
Design challenges and misconceptions in named entity recognition L Ratinov, D Roth Proceedings of the Thirteenth Conference on Computational Natural Language …, 2009	1701	2009
Learning question classifiers X Li, D Roth COLING 2002: The 19th International Conference on Computational Linguistics, 2002	1407	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	1202	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	1016	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	832	2011
On the hardness of approximate reasoning D Roth Artificial Intelligence 82 (1-2), 273-302, 1996	797	1996
Learning a sparse representation for object detection S Agarwal, D Roth European conference on computer vision, 113-127, 2002	771	2002
A SNoW-based face detector MH Yang, D Roth, N Ahuja Advances in neural information processing systems 12, 1999	554	1999
The importance of syntactic parsing and inference in semantic role labeling V Punyakanok, D Roth, W Yih Computational Linguistics 34 (2), 257-287, 2008	499	2008
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	464	2004
A winnow-based approach to context-sensitive spelling correction AR Golding, D Roth Machine learning 34 (1), 107-130, 1999	446	1999
Lifted first-order probabilistic inference R Braz, E Amir, D Roth Proceedings of the Nineteenth International Joint Conference on Artificial …, 2005	390*	2005
Learning question classifiers: the role of semantic information X Li, D Roth Natural Language Engineering 12 (3), 229-249, 2006	372	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	347	2008
Knowing what to believe (when you already know something) J Pasternack, D Roth Proceedings of the 23rd International Conference on Computational …, 2010	339	2010
Recognizing textual entailment: Models and applications I Dagan, D Roth, M Sammons, FM Zanzotto Synthesis Lectures on Human Language Technologies 6 (4), 1-220, 2013	330	2013
Recognizing textual entailment: Rational, evaluation and approaches–erratum I Dagan, B Dolan, B Magnini, D Roth Natural Language Engineering 16 (1), 105-105, 2010	311	2010
Mistake-driven learning in text categorization I Dagan, Y Karov, D Roth arXiv preprint cmp-lg/9706006, 1997	293	1997
Relational inference for wikification X Cheng, D Roth Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013	284	2013

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