Andrew McCallum

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Citations	91746	34970
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i10-index	282	215

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Kamal NigamGoogleVerified email at kamalnigam.com
Fernando PereiraVP, 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
Emma StrubellAssistant Professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Xuerui WangUber Technologies, Inc.Verified email at uber.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
Rajarshi DasUniversity of WashingtonVerified email at cs.washington.edu
Luke VilnisResearch Scientist, GoogleVerified email at cs.umass.edu
Sameer SinghAssociate Professor, University of California IrvineVerified email at uci.edu
Dayne FreitagProgram Director, SRI InternationalVerified email at ai.sri.com
David BelangerResearch Scientist, Google BrainVerified email at google.com
Pat VergaResearch Scientist GoogleVerified email at google.com
Nicholas MonathResearch Scientist, GoogleVerified email at google.com
Hanna WallachPartner Research Manager, Microsoft ResearchVerified email at dirichlet.net
Manzil ZaheerGoogle ResearchVerified email at cmu.edu
Haw-Shiuan ChangSchool of Computer Science, UMass, AmherstVerified 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	16705	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	5359	1998
Text classification from labeled and unlabeled documents using EM K Nigam, AK McCallum, S Thrun, T Mitchell Machine learning 39 (2), 103-134, 2000	4051	2000
Mallet: A machine learning for language toolkit AK McCallum http://mallet. cs. umass. edu, 2002	2921	2002
An introduction to conditional random fields C Sutton, A McCallum Foundations and Trends® in Machine Learning 4 (4), 267-373, 2012	2436	2012
Maximum entropy Markov models for information extraction and segmentation. A McCallum, D Freitag, FCN Pereira Icml 17 (2000), 591-598, 2000	1978	2000
Introduction to statistical relational learning D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ... MIT press, 2007	1895	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	1782	2006
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	1759	2011
Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons A McCallum, W Li	1538	2003
Energy and policy considerations for deep learning in NLP E Strubell, A Ganesh, A McCallum arXiv preprint arXiv:1906.02243, 2019	1509	2019
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	1499	2000
Toward optimal active learning through monte carlo estimation of error reduction N Roy, A McCallum ICML, Williamstown 2, 441-448, 2001	1460	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	1343	1999
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	1175	2010
Employing EM and pool-based active learning for text classification AK McCallumzy, K Nigamy Proc. International Conference on Machine Learning (ICML), 359-367, 1998	1153	1998
Distributional clustering of words for text classification LD Baker, AK McCallum Proceedings of the 21st annual international ACM SIGIR conference on …, 1998	1097	1998
Automating the construction of internet portals with machine learning AK McCallum, K Nigam, J Rennie, K Seymore Information Retrieval 3 (2), 127-163, 2000	1065	2000
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	989	1998
Bow: A toolkit for statistical language modeling, text retrieval, classification and clustering AK McCallum CMU: Pittsburgh, PA, 1996	936*	1996

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