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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
182462001
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
56921998
Text classification from labeled and unlabeled documents using EM
K Nigam, AK McCallum, S Thrun, T Mitchell
Machine learning 39, 103-134, 2000
42672000
Mallet: A machine learning for languagetoolkit
AK McCallum
http://mallet. cs. umass. edu, 2002
31322002
An introduction to conditional random fields
C Sutton, A McCallum
Foundations and Trends® in Machine Learning 4 (4), 267-373, 2012
26772012
Energy and policy considerations for deep learning in NLP
E Strubell, A Ganesh, A McCallum
arXiv preprint arXiv:1906.02243, 2019
26292019
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
23072011
Maximum entropy Markov models for information extraction and segmentation.
A McCallum, D Freitag, FCN Pereira
Icml 17 (2000), 591-598, 2000
20872000
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
19002006
Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons
A McCallum, W Li
16632003
Toward optimal active learning through monte carlo estimation of error reduction
N Roy, A McCallum
ICML, Williamstown 2, 441-448, 2001
16332001
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
15832000
Modeling relations and their mentions without labeled text
S Riedel, L Yao, A McCallum
Machine Learning and Knowledge Discovery in Databases: European Conference ¡¦, 2010
14392010
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
13971999
Automating the construction of internet portals with machine learning
AK McCallum, K Nigam, J Rennie, K Seymore
Information Retrieval 3, 127-163, 2000
13752000
Employing EM and Pool-Based Active Learning for Text Classification.
A McCallum, K Nigam
ICML 98, 350-358, 1998
12491998
Distributional clustering of words for text classification
LD Baker, AK McCallum
Proceedings of the 21st annual international ACM SIGIR conference on ¡¦, 1998
11191998
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
10351998
Bow: A toolkit for statistical language modeling, text retrieval, classification and clustering
AK McCallum
CMU: Pittsburgh, PA, 1996
958*1996
Rethinking LDA: Why priors matter
H Wallach, D Mimno, A McCallum
Advances in neural information processing systems 22, 2009
9462009
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