Ross. Kindermann, Markov Random Fields and Their Applications.
comment: good, yet outdated book for introducing the physical background of Markov Random Fields.
Peter Clifford. Markov Random Fields in Statistics
comment: A readable and principled tutorial for Markov Random Fields. But you need to work through the maths equations carefully (Fortunately I'm good at it). The polygonal coloring measure and the following bla-bla is quite technical (Geometrical Probability, OMG) and I can't afford to dig out and read it.
Hanna M. Wallach, Conditional Random Fields: An Introduction
comment: A readable introduction to Conditional Random Fields, which I think is better to understand than John Lafferty's paper.
John Lafferty, Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data.
comment: It's a difficult paper, especially when I lack the background knowledge of NLP.
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