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Andrew McCallum
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Conditional random fields: Probabilistic models for segmenting and labeling sequence data
J Lafferty, A McCallum, FCN Pereira
172712001
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
54881998
Text classification from labeled and unlabeled documents using EM
K Nigam, AK McCallum, S Thrun, T Mitchell
Machine learning 39, 103-134, 2000
41182000
Mallet: A machine learning for languagetoolkit
AK McCallum
http://mallet. cs. umass. edu, 2002
29932002
An introduction to conditional random fields
C Sutton, A McCallum
Foundations and Trends® in Machine Learning 4 (4), 267-373, 2012
25002012
Maximum entropy Markov models for information extraction and segmentation.
A McCallum, D Freitag, FCN Pereira
Icml 17 (2000), 591-598, 2000
20222000
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
19462011
Energy and policy considerations for deep learning in NLP
E Strubell, A Ganesh, A McCallum
arXiv preprint arXiv:1906.02243, 2019
18732019
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
18212006
Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons
A McCallum, W Li
15792003
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
15342000
Toward optimal active learning through monte carlo estimation of error reduction
N Roy, A McCallum
ICML, Williamstown 2, 441-448, 2001
15292001
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
13691999
Modeling relations and their mentions without labeled text
S Riedel, L Yao, A McCallum
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010
12642010
Employing EM and Pool-Based Active Learning for Text Classification.
A McCallum, K Nigam
ICML 98, 350-358, 1998
12051998
Automating the construction of internet portals with machine learning
AK McCallum, K Nigam, J Rennie, K Seymore
Information Retrieval 3, 127-163, 2000
11642000
Distributional clustering of words for text classification
LD Baker, AK McCallum
Proceedings of the 21st annual international ACM SIGIR conference on …, 1998
11011998
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
10151998
Bow: A toolkit for statistical language modeling, text retrieval, classification and clustering
AK McCallum
CMU: Pittsburgh, PA, 1996
946*1996
Rethinking LDA: Why priors matter
H Wallach, D Mimno, A McCallum
Advances in neural information processing systems 22, 2009
8932009
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Articles 1–20