Clarification How CRF(Conditional random Field) works using examples

Question

I read different documents how CRF(conditional random field) works but all the papers puts the formula only. Is there any one who can send me a paper that describes about CRF with examples like if we have a sentence

"Mr.Smith was born in New York. He has been working for the last 20 years in Microsoft company."

if the above sentence is given as an input to train, how does the Model works during the training taking in to consideration for the formula for CRF? Smith is tagged as "PER" New York is as "LOC" Microsoft Company as "ORG". Moges.A

Answer 1

Here is a link to a set of slides made by Shasha Rush, a PhD student who is currently working on NLP at Google. One of the reasons I really like the slides is because they contain concrete examples and walk you through executions of important algorithms.

Answer 2

It is not a paper, but there is available whole online free course on probabilistic graphical models -- CRF is one of them. It is very definitive and you'll get an intuitive level of understanding after completing it.