Andrew McCallum

Citirano

	Sve	Od 2020.
Citati	108804	35097
H-indeks	121	76
i10-indeks	330	229

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Kamal NigamGooglePotvrđena adresa e-pošte na kamalnigam.com
Charles SuttonGoogle, University of EdinburghPotvrđena adresa e-pošte na inf.ed.ac.uk
Fernando PereiraVP, GooglePotvrđena adresa e-pošte na google.com
David MimnoAssociate Professor, Cornell UniversityPotvrđena adresa e-pošte na cornell.edu
Emma StrubellAssistant Professor, Carnegie Mellon UniversityPotvrđena adresa e-pošte na cs.cmu.edu
Sebastian RiedelHonorary Professor @ University College London, Researcher @ DeepMindPotvrđena adresa e-pošte na cs.ucl.ac.uk
Aron CulottaAssociate Professor of Computer Science, Tulane UniversityPotvrđena adresa e-pošte na tulane.edu
Nicholas MonathResearch Scientist, GooglePotvrđena adresa e-pošte na google.com
Rajarshi DasAWS AI LabsPotvrđena adresa e-pošte na cs.washington.edu
Xuerui WangUber Technologies, Inc.Potvrđena adresa e-pošte na uber.com
Manzil ZaheerGoogle ResearchPotvrđena adresa e-pošte na cmu.edu
Michael WickUniversity of MassachusettsPotvrđena adresa e-pošte na cs.umass.edu
Luke VilnisResearch Scientist, Google DeepMindPotvrđena adresa e-pošte na google.com
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityPotvrđena adresa e-pošte na cs.cmu.edu
Sameer SinghProfessor, UC Irvine | CTO, Spiffy AIPotvrđena adresa e-pošte na uci.edu
David BelangerResearch Scientist, Google BrainPotvrđena adresa e-pošte na google.com
Pat VergaCoherePotvrđena adresa e-pošte na cohere.com
Hanna WallachPartner Research Manager, Microsoft ResearchPotvrđena adresa e-pošte na dirichlet.net
Haw-Shiuan ChangUMass AmherstPotvrđena adresa e-pošte na cs.umass.edu
Dayne FreitagProgram Director, SRI InternationalPotvrđena adresa e-pošte na ai.sri.com

Prati

Andrew McCallum

Distinguished Professor of Computer Science, University of Massachusetts Amherst

Potvrđena adresa e-pošte na cs.umass.edu - Početna stranica

Machine Learning Natural Language Processing Artificial Intelligence Peer Review


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Conditional random fields: Probabilistic models for segmenting and labeling sequence data J Lafferty, A McCallum, F Pereira Icml 1 (2), 3, 2001	19221	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	6021	1998
Energy and policy considerations for modern deep learning research E Strubell, A Ganesh, A McCallum Proceedings of the AAAI conference on artificial intelligence 34 (09), 13693 …, 2020	4426	2020
Text classification from labeled and unlabeled documents using EM K Nigam, AK McCallum, S Thrun, T Mitchell Machine learning 39, 103-134, 2000	4379	2000
Mallet: A machine learning for languagetoolkit AK McCallum http://mallet. cs. umass. edu, 2002	3259	2002
An introduction to conditional random fields C Sutton, A McCallum Foundations and Trends® in Machine Learning 4 (4), 267-373, 2012	2875*	2012
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	2755	2011
Maximum entropy Markov models for information extraction and segmentation. A McCallum, D Freitag, FCN Pereira Icml 17 (2000), 591-598, 2000	2163	2000
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	1947	2006
Automating the construction of internet portals with machine learning AK McCallum, K Nigam, J Rennie, K Seymore Information Retrieval 3, 127-163, 2000	1749	2000
Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons A McCallum, W Li Proceedings of the seventh conference on Natural language learning at HLT …, 2003	1739	2003
Toward optimal active learning through sampling estimation of error reduction N Roy, A McCallum ICML 1 (3), 5, 2001	1736	2001
Modeling relations and their mentions without labeled text S Riedel, L Yao, A McCallum Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010	1656	2010
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	1622	2000
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	1435	1999
Employing EM and Pool-Based Active Learning for Text Classification. AK McCallum, K Nigam ICML 98, 350-358, 1998	1302	1998
Distributional clustering of words for text classification LD Baker, AK McCallum Proceedings of the 21st annual international ACM SIGIR conference on …, 1998	1134	1998
Learning to extract symbolic knowledge from the World Wide Web M Craven, D DiPasquo, D Freitag, A McCallum, T Mitchell, K Nigam, ... AAAI/IAAI 3 (3.6), 2, 1998	1109	1998
Rethinking LDA: Why priors matter H Wallach, D Mimno, A McCallum Advances in neural information processing systems 22, 2009	1022	2009
Pachinko allocation: DAG-structured mixture models of topic correlations W Li, A McCallum Proceedings of the 23rd international conference on Machine learning, 577-584, 2006	974	2006

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