Could anyone go into more detail on why a CRF is a good model for this kind of task? In the article they say that is was good for similar tasks:
> We chose to use a discriminative structured prediction model called a linear-chain conditional random field (CRF), which has been successful on similar tasks such as part-of-speech tagging and named entity recognition.
But they don't say why they chose if over some sort of markov model (chain, hidden, etc).
> We chose to use a discriminative structured prediction model called a linear-chain conditional random field (CRF), which has been successful on similar tasks such as part-of-speech tagging and named entity recognition.
But they don't say why they chose if over some sort of markov model (chain, hidden, etc).