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Andrew McCallum
Andrew McCallum
Distinguished Professor of Computer Science, University of Massachusetts Amherst
Verifierad e-postadress på cs.umass.edu - Startsida
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Conditional random fields: Probabilistic models for segmenting and labeling sequence data
J Lafferty, A McCallum, F Pereira
Icml 1 (2), 3, 2001
192702001
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
60401998
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
44922020
Text classification from labeled and unlabeled documents using EM
K Nigam, AK McCallum, S Thrun, T Mitchell
Machine learning 39, 103-134, 2000
43912000
Mallet: A machine learning for languagetoolkit
AK McCallum
http://mallet. cs. umass. edu, 2002
32612002
An introduction to conditional random fields
C Sutton, A McCallum
Foundations and Trends® in Machine Learning 4 (4), 267-373, 2012
2885*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
27792011
Maximum entropy Markov models for information extraction and segmentation.
A McCallum, D Freitag, FCN Pereira
Icml 17 (2000), 591-598, 2000
21672000
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
19502006
Automating the construction of internet portals with machine learning
AK McCallum, K Nigam, J Rennie, K Seymore
Information Retrieval 3, 127-163, 2000
17732000
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
17462003
Toward optimal active learning through sampling estimation of error reduction
N Roy, A McCallum
ICML 1 (3), 5, 2001
17442001
Modeling relations and their mentions without labeled text
S Riedel, L Yao, A McCallum
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010
16692010
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
16232000
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
14361999
Employing EM and Pool-Based Active Learning for Text Classification.
AK McCallum, K Nigam
ICML 98, 350-358, 1998
13061998
Distributional clustering of words for text classification
LD Baker, AK McCallum
Proceedings of the 21st annual international ACM SIGIR conference on …, 1998
11341998
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
11101998
Rethinking LDA: Why priors matter
H Wallach, D Mimno, A McCallum
Advances in neural information processing systems 22, 2009
10252009
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
9742006
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Artiklar 1–20