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I read different documents on how CRF(conditional random field) works but all the papers put the formula only. Is there anyone who can send me a paper that describes 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 into consideration for the formula for CRF? Smith is tagged as "PER" New York is as "LOC" Microsoft Company as "ORG". Moges.A

1 Answer

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by (33.2k points)

You should check out this set of slides by a Google Researcher working on NLP. These slides contain concrete examples and walk you through executions of important algorithms.

Hope this answer helps.

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