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author = McCallum, Andrew (5 entries)  Select: All None   Action: Show BibTeX

Charles Sutton and Andrew McCallum. 2010. An introduction to conditional random fields. arXiv preprint arXiv:1011.4088 url google scholar
Charles Sutton and Andrew McCallum. 2006. An Introduction to Conditional Random Fields for Relational Learning. In Introduction to Statistical Relational Learning. MIT Press. [comp542] pdf google scholar
John Lafferty, Andrew McCallum and Fernando Pereira. 2001. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. In Proc. 18th International Conf. on Machine Learning, pp 282--289. Morgan Kaufmann, San Francisco, CA. [CRF, comp542] url pdf google scholar
Andrew McCallum, Dayne Freitag and Fernando CN Pereira. 2000. Maximum Entropy Markov Models for Information Extraction and Segmentation.. In ICML, pp 591--598. [comp542] pdf google scholar
Andrew McCallum, Kamal Nigam, et al. 1998. A comparison of event models for naive bayes text classification. In AAAI-98 workshop on learning for text categorization, vol 752, pp 41--48. Citeseer. [comp542] url pdf abstract google scholar

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