Question 1
What is the primary function of feature functions in Conditional Random Fields (CRFs)?
Question 2
In the context of CRFs, what does the term 'structured prediction' imply?
Question 3
Which of the following is a key advantage of using CRFs over traditional models like HMMs?
Question 4
What is the main goal of the inference step in a CRF model?
Question 5
Which method is commonly used to optimize parameters in CRFs during training?
