William W. Cohen

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Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Ken KoedingerHillman Professor of Computer Science, Depts of Human-Computer Interaction & Psychology, CarnegieVerified email at cmu.edu
Zhilin YangCarnegie Mellon UniversityVerified email at cs.cmu.edu
Stephen E Fienberg 1942-2016Maurice Falk University Professor of Statistics and Social ScienceVerified email at cs.cmu.edu
Einat MinkovUniv. of Haifa, IsraelVerified email at is.haifa.ac.il
Vitor R. CarvalhoCarnegie Mellon UniversityVerified email at cs.cmu.edu
Pradeep RavikumarAssociate Professor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Noboru MatsudaAssociate Professor, North Carolina State UniversityVerified email at ncsu.edu
Ni LaoAppleVerified 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
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Robert F. MurphyLane Professor of Computational Biology, Carnegie Mellon UniversityVerified email at cmu.edu
Andrew O. ArnoldSenior Science Manager, Amazon AWS AI LabsVerified email at amazon.com
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
Amr AhmedSenior Staff Research Scientist, Google AIVerified email at google.com
Bhavana Dalvi MishraSenior Research Scientist, Allen Institute for Artificial IntelligenceVerified email at allenai.org
William Yang WangMellichamp Chair Professor, University of California, Santa BarbaraVerified email at cs.ucsb.edu

William W. Cohen

Google AI

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machine learning information integration information extraction intelligent tutoring natural language processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Fast Effective Rule Induction WW Cohen Proceedings of the Twelfth International Conference on Machine Learning …, 1995	5144	1995
A Comparison of String Distance Metrics for Name-Matching Tasks. WW Cohen, P Ravikumar, SE Fienberg IIWeb 3, 73-78, 2003	1841	2003
Recommendation as classification: Using social and content-based information in recommendation C Basu, H Hirsh, W Cohen Aaai/iaai, 714-720, 1998	1544	1998
Context-sensitive learning methods for text categorization WW Cohen, Y Singer ACM Transactions on Information Systems (TOIS) 17 (2), 141-173, 1999	920	1999
Learning to order things WW Cohen, RE Schapire, Y Singer Journal of artificial intelligence research 10, 243-270, 1999	836	1999
Revisiting semi-supervised learning with graph embeddings Z Yang, W Cohen, R Salakhudinov International conference on machine learning, 40-48, 2016	825	2016
Semi-markov conditional random fields for information extraction S Sarawagi, WW Cohen Advances in neural information processing systems 17, 1185-1192, 2004	794	2004
Learning rules that classify e-mail WW Cohen AAAI spring symposium on machine learning in information access 18, 25, 1996	762	1996
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	753	2003
Never-ending learning T Mitchell, W Cohen, E Hruschka, P Talukdar, B Yang, J Betteridge, ... Communications of the ACM 61 (5), 103-115, 2018	738	2018
Adaptive name matching in information integration M Bilenko, R Mooney, W Cohen, P Ravikumar, S Fienberg IEEE Intelligent Systems 18 (5), 16-23, 2003	705	2003
Beyond independent relevance: methods and evaluation metrics for subtopic retrieval CX Zhai, WW Cohen, J Lafferty ACM SIGIR Forum 49 (1), 2-9, 2015	697	2015
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	612	1998
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	546	2011
A simple, fast, and effective rule learner WW Cohen, Y Singer AAAI/IAAI 99 (335-342), 3, 1999	522	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	491	2002
Joint latent topic models for text and citations RM Nallapati, A Ahmed, EP Xing, WW Cohen Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	483	2008
Relational retrieval using a combination of path-constrained random walks N Lao, WW Cohen Machine learning 81 (1), 53-67, 2010	482	2010
Learning Trees and Rules with Set-valued Features WW Cohen AAAI, 1996	416	1996
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	414	2018

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