Aria Haghighi and Dan Klein
HLT 2010, http://www.aclweb.org/anthology/N/N10/N10-1061.pdf
presented by Michal Novák

• It is good to have an idea what is the philosophy of generative models (e.g. HMM tagging). In the end, we want to use the generative model to discover the hidden variables (POS tags or coreference in the case of this paper), but the didactical point of view is the opposite – first, generate the hidden variables using given parameters (<latex>\lambda</latex> and <latex>\sigma^2</latex> in the paper) and then generate the observed instances (sequence of words).

• Figure 2 is a diagram of so-called graphical models. The rectangles, circles and arrows have well-defined semantics, see a brief introduction (it is not sufficient for understanding Section 4, but at least something…).