William Cohen

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Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Bhuwan DhingraAssistant Professor, Computer Science, Duke UniversityVerified email at cs.duke.edu
Zhilin YangCarnegie Mellon UniversityVerified email at cs.cmu.edu
Ken KoedingerHCII, Carnegie Mellon UniversityVerified email at cmu.edu
Haym HirshComputer Science, Cornell UniversityVerified email at cornell.edu
Vitor R. CarvalhoMicrosoftVerified email at cs.cmu.edu
Haitian SunCarnegie Mellon UniversityVerified email at cs.cmu.edu
Einat MinkovUniv. of Haifa, IsraelVerified email at is.haifa.ac.il
Noboru MatsudaAssociate Professor, North Carolina State UniversityVerified email at ncsu.edu
Stephen E Fienberg 1942-2016Maurice Falk University Professor of Statistics and Social ScienceVerified email at cs.cmu.edu
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Ni LaoGoogleVerified email at cs.cmu.edu
Richard WangSchool of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Ramnath BalasubramanyanGraduate student, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Andrew O. ArnoldChief Scientist, Oracle AlphaVerified email at oraclealpha.com
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Robert F. MurphyProfessor of Computational Biology Emeritus, Carnegie Mellon UniversityVerified email at cmu.edu
Ramesh Maruthi NallapatiPrincipal Applied Scientist, Amazon AWS AIVerified email at amazon.com
Nan LiD. E. Shaw & Co., L.P.Verified email at cs.cmu.edu
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu

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Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Fast effective rule induction WW Cohen Machine learning proceedings 1995, 115-123, 1995	5904	1995
Revisiting semi-supervised learning with graph embeddings Z Yang, W Cohen, R Salakhudinov International conference on machine learning, 40-48, 2016	2168	2016
A Comparison of String Distance Metrics for Name-Matching Tasks. WW Cohen, P Ravikumar, SE Fienberg IIWeb 3, 73-78, 2003	2070	2003
HotpotQA: A dataset for diverse, explainable multi-hop question answering Z Yang, P Qi, S Zhang, Y Bengio, WW Cohen, R Salakhutdinov, ... arXiv preprint arXiv:1809.09600, 2018	1848	2018
Recommendation as classification: Using social and content-based information in recommendation C Basu, H Hirsh, W Cohen Aaai/iaai, 714-720, 1998	1769	1998
Never-ending learning T Mitchell, W Cohen, E Hruschka, P Talukdar, B Yang, J Betteridge, ... Communications of the ACM 61 (5), 103-115, 2018	1294	2018
Learning to order things WW Cohen, RE Schapire, Y Singer Advances in neural information processing systems 10, 1997	1173	1997
Context-sensitive learning methods for text categorization WW Cohen, Y Singer ACM Transactions on Information Systems (TOIS) 17 (2), 141-173, 1999	969	1999
Semi-markov conditional random fields for information extraction S Sarawagi, WW Cohen Advances in neural information processing systems 17, 2004	887	2004
A comparison of string metrics for matching names and records W Cohen, P Ravikumar, S Fienberg Kdd workshop on data cleaning and object consolidation 3, 73-78, 2003	859	2003
Random walk inference and learning in a large scale knowledge base N Lao, T Mitchell, W Cohen Proceedings of the 2011 conference on empirical methods in natural language …, 2011	813	2011
Learning rules that classify e-mail WW Cohen AAAI spring symposium on machine learning in information access 18, 25, 1996	805	1996
Beyond independent relevance: methods and evaluation metrics for subtopic retrieval CX Zhai, WW Cohen, J Lafferty Acm sigir forum 49 (1), 2-9, 2015	772	2015
Adaptive name matching in information integration M Bilenko, R Mooney, W Cohen, P Ravikumar, S Fienberg IEEE Intelligent Systems 18 (5), 16-23, 2003	761	2003
Relational retrieval using a combination of path-constrained random walks N Lao, WW Cohen Machine learning 81, 53-67, 2010	719	2010
Differentiable learning of logical rules for knowledge base reasoning F Yang, Z Yang, WW Cohen Advances in neural information processing systems 30, 2017	664	2017
Integration of heterogeneous databases without common domains using queries based on textual similarity WW Cohen Proceedings of the 1998 ACM SIGMOD international conference on Management of …, 1998	646	1998
A simple, fast, and effective rule learner WW Cohen, Y Singer AAAI/IAAI 99 (335-342), 3, 1999	583	1999
Learning to match and cluster large high-dimensional data sets for data integration WW Cohen, J Richman Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002	576	2002
Good semi-supervised learning that requires a bad gan Z Dai, Z Yang, F Yang, WW Cohen, RR Salakhutdinov Advances in neural information processing systems 30, 2017	562	2017

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