Andrew McCallum

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	All	Since 2015
Citations	77730	32869
h-index	107	81
i10-index	262	214

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Kamal NigamGoogleVerified email at kamalnigam.com
Fernando PereiraVP and Engineering Fellow, GoogleVerified email at google.com
Charles SuttonGoogle, University of EdinburghVerified email at inf.ed.ac.uk
David MimnoAssociate Professor, Cornell UniversityVerified email at cornell.edu
Sebastian RiedelProfessor @ University College London, Researcher @ Facebook AI ResearchVerified email at cs.ucl.ac.uk
Aron CulottaAssociate Professor of Computer Science, Tulane UniversityVerified email at tulane.edu
Xuerui WangGoogle Inc.Verified email at google.com
Michael WickUniversity of MassachusettsVerified email at cs.umass.edu
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Sameer SinghUniversity of California, IrvineVerified email at uci.edu
Emma StrubellAssistant Professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
David BelangerResearch Scientist, Google BrainVerified email at google.com
Hanna WallachSenior Principal Researcher, Microsoft ResearchVerified email at dirichlet.net
Dayne FreitagProgram Director, SRI InternationalVerified email at ai.sri.com
Luke VilnisGraduate Research Assistant, University of Massachusetts AmherstVerified email at cs.umass.edu
Pat VergaResearch Scientist GoogleVerified email at google.com
Rajarshi DasPh.D. Student UMass, AmherstVerified email at cs.umass.edu
Gideon MannBloomberg LPVerified email at bloomberg.net
Jason RennieSoftware Engieer, GoogleVerified email at google.com
Alexandre PassosGoogle researchVerified email at cs.umass.edu

Andrew McCallum

Distinguished Professor of Computer Science, University of Massachusetts Amherst

Verified email at cs.umass.edu - Homepage

Machine Learning Natural Language Processing Information Extraction Artificial Intelligence Social Network Analysis


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Conditional random fields: Probabilistic models for segmenting and labeling sequence data J Lafferty, A McCallum, FCN Pereira	14446	2001
A comparison of event models for naive bayes text classification A McCallum, K Nigam AAAI-98 workshop on learning for text categorization 752 (1), 41-48, 1998	4654	1998
Text classification from labeled and unlabeled documents using EM K Nigam, AK McCallum, S Thrun, T Mitchell Machine learning 39 (2-3), 103-134, 2000	3677	2000
Mallet: A machine learning for language toolkit AK McCallum http://mallet. cs. umass. edu, 2002	2490	2002
An introduction to conditional random fields for relational learning C Sutton, A McCallum Introduction to statistical relational learning 2, 93-128, 2006	2105	2006
An introduction to conditional random fields for relational learning C Sutton, A McCallum Introduction to statistical relational learning 2, 93-128, 2006	2102	2006
Maximum Entropy Markov Models for Information Extraction and Segmentation. A McCallum, D Freitag, FCN Pereira Icml 17 (2000), 591-598, 2000	1789	2000
Introduction to statistical relational learning D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ... MIT press, 2007	1685	2007
Topics over time: a non-Markov continuous-time model of topical trends X Wang, A McCallum Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006	1529	2006
Efficient clustering of high-dimensional data sets with application to reference matching A McCallum, K Nigam, LH Ungar Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000	1351	2000
Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons A McCallum, W Li	1336	2003
Toward optimal active learning through monte carlo estimation of error reduction N Roy, A McCallum ICML, Williamstown, 441-448, 2001	1243	2001
Using maximum entropy for text classification K Nigam, J Lafferty, A McCallum IJCAI-99 workshop on machine learning for information filtering 1 (1), 61-67, 1999	1195	1999
Optimizing semantic coherence in topic models D Mimno, H Wallach, E Talley, M Leenders, A McCallum Proceedings of the 2011 Conference on Empirical Methods in Natural Language …, 2011	1136	2011
Employing EM and pool-based active learning for text classification AK McCallumzy, K Nigamy Proc. International Conference on Machine Learning (ICML), 359-367, 1998	1042	1998
Distributional clustering of words for text classification LD Baker, AK McCallum Proceedings of the 21st annual international ACM SIGIR conference on …, 1998	1038	1998
Learning to extract symbolic knowledge from the World Wide Web M Craven, A McCallum, D PiPasquo, T Mitchell, D Freitag Carnegie-mellon univ pittsburgh pa school of computer Science, 1998	924	1998
Bow: A toolkit for statistical language modeling, text retrieval, classification and clustering AK McCallum CMU: Pittsburgh, PA, 1996	904*	1996
Modeling relations and their mentions without labeled text S Riedel, L Yao, A McCallum Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010	808	2010
Automating the construction of internet portals with machine learning AK McCallum, K Nigam, J Rennie, K Seymore Information Retrieval 3 (2), 127-163, 2000	770	2000

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