We will read the following paper:
J. Lafferty, A. McCallum and F. Pereira. Conditional Random Fields: Probabilistic models for segmenting and labeling sequence data. Proc. 18th Int. Conf. on Machine Learning, 2001.
http://www.cis.upenn.edu/~pereira/papers/crf.pdf
In addition, if time permits, we will reread the previous CRF paper:
Charles Sutton, Andres McCallum. An Introduction to Conditional Random Fields for Relational Learning.
http://www.cs.umass.edu/~mccallum/papers/crf-tutorial.pdf
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I came across this presentation which may be helpful when reading the Lafferty, McCallum and Pereira paper:
ReplyDeletehttp://www.authorstream.com/Presentation/Dabby-14249-Shen-CRF-ICML-2001-Conditional-Random-Fields-Probabilistic-Models-Segmenting-Labeling-Sequence-Data-Product-Training-Manuals-ppt-powerpoint/