title: Training a CRF without sentence boundaries
body: <p>I need to tag parts of text in an HTML document. However, it mostly consists of text in form of dates, company names, Addresses, etc. I plan to use CRF (sklearn-crfsuite)</p>
  
  <p>My problem is that it is difficult to divide the dataset into sentences. Can we train a CRF model without sentence boundaries treating everything as a single sequence? The tutorials in CRFSuite or sklearn-crfsuite do not talk about this.</p>
  
  <p>If it cannot be done without sentence segmentation, any hints on how to divide such texts into sentences?</p>
  
  <p>The data is something like this: (i cannot share the actual data)
  <a href="https://i.stack.imgur.com/3te8n.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/3te8n.png" alt="enter image description here"></a></p>