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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
167152001
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
53631998
Text classification from labeled and unlabeled documents using EM
K Nigam, AK McCallum, S Thrun, T Mitchell
Machine learning 39 (2), 103-134, 2000
40512000
Mallet: A machine learning for language toolkit
AK McCallum
http://mallet. cs. umass. edu, 2002
29252002
An introduction to conditional random fields
C Sutton, A McCallum
Foundations and Trends® in Machine Learning 4 (4), 267-373, 2012
24392012
Maximum entropy Markov models for information extraction and segmentation.
A McCallum, D Freitag, FCN Pereira
Icml 17 (2000), 591-598, 2000
19782000
Introduction to statistical relational learning
D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ...
MIT press, 2007
18972007
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
17822006
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
17652011
Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons
A McCallum, W Li
15382003
Energy and policy considerations for deep learning in NLP
E Strubell, A Ganesh, A McCallum
arXiv preprint arXiv:1906.02243, 2019
15242019
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
15002000
Toward optimal active learning through monte carlo estimation of error reduction
N Roy, A McCallum
ICML, Williamstown 2, 441-448, 2001
14612001
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
13451999
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
11782010
Employing EM and pool-based active learning for text classification
AK McCallumzy, K Nigamy
Proc. International Conference on Machine Learning (ICML), 359-367, 1998
11551998
Distributional clustering of words for text classification
LD Baker, AK McCallum
Proceedings of the 21st annual international ACM SIGIR conference on ¡¦, 1998
10991998
Automating the construction of internet portals with machine learning
AK McCallum, K Nigam, J Rennie, K Seymore
Information Retrieval 3 (2), 127-163, 2000
10662000
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
9891998
Bow: A toolkit for statistical language modeling, text retrieval, classification and clustering
AK McCallum
CMU: Pittsburgh, PA, 1996
936*1996
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