Sutton, Charles ; McCallum, Andrew: An Introduction to Conditional Random Fields, 2010. - cite arxiv:1011.4088Comment: 90 pages

Sutton, Charles ; McCallum, Andrew: An Introduction to Conditional Random Fields, 2010. - cite arxiv:1011.4088Comment: 90 pages

Bekkerman, Ron ; El-Yaniv, Ran ; McCallum, Andrew: Multi-way distributional clustering via pairwise interactions. In: ICML '05: Proceedings of the 22nd International Conference on Machine learning. New York, NY, USA : ACM, 2005. - ISBN 1-59593-180-5, S. 41--48

Bekkerman, Ron ; El-Yaniv, Ran ; McCallum, Andrew: Multi-way distributional clustering via pairwise interactions. In: ICML '05: Proceedings of the 22nd international conference on Machine learning. New York, NY, USA : ACM Press, 2005. - ISBN 1-59593-180-5, S. 41--48

Kristjansson, Trausti T. ; Culotta, Aron ; Viola, Paul A. ; McCallum, Andrew ; McGuinness, Deborah L. (Bearb.) ; Ferguson, George (Bearb.): Interactive Information Extraction with Constrained Conditional Random Fields.. In: AAAI : AAAI Press/The MIT Press, 2004. - ISBN 0-262-51183-5, S. 412--418

Peng, Fuchun ; McCallum, Andrew: Accurate Information Extraction from Research Papers using Conditional Random Fields. In: HLT-NAACL, 2004, S. 329-336

Peng, Fuchun ; McCallum, Andrew: Accurate Information Extraction from Research Papers using Conditional Random Fields. In: HLT-NAACL, 2004, S. 329--336

McCallum, Andrew Kachites: {MALLET: A Machine Learning for Language Toolkit}, 2002. - http://mallet.cs.umass.edu

Lafferty, John D. ; McCallum, Andrew ; Pereira, Fernando C. N.: Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. In: Proceedings of the Eighteenth International Conference on Machine Learning. San Francisco, CA, USA : Morgan Kaufmann Publishers Inc., 2001. - ISBN 1-55860-778-1, S. 282--289

Baker, L. Douglas ; McCallum, Andrew K. ; Croft, W. Bruce (Bearb.) ; Moffat, Alistair (Bearb.) ; van Rijsbergen, Cornelis J. (Bearb.) ; Wilkinson, Ross (Bearb.) ; Zobel, Justin (Bearb.): Distributional clustering of words for text classification. In: Proceedings of {SIGIR}-98, 21st {ACM} International Conference on Research and Development in Information Retrieval. Melbourne, AU : ACM Press, New York, US, 1998, S. 96--103