ML model types for extraction

ML model types that can be used in extraction projects are:

• Conditional Random Fields (CRF)
• Support Vector Machines (SVM) sliding window

CRF is the starting point for any entity extraction project and is suitable for large datasets and large documents.

SVM sliding window needs a small dataset or relatively few annotations, but is faster to train and has a slightly more balanced precision/recall ratio.