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Description
A CRF produces label probability outputs. Currently, we are simply using the highest probability label as the predicted entity label. It would be useful to allow for an option to output a label ranking for a given token.
Where to get started
A contributor would simply have to interface the correct attributes set by the sklearn-crfsuite wrapper into the Annotation class. Some discussion would have to be had to insure compatibility with other parts of the package.
The text was updated successfully, but these errors were encountered:
Description
A CRF produces label probability outputs. Currently, we are simply using the highest probability label as the predicted entity label. It would be useful to allow for an option to output a label ranking for a given token.
Uses
Multi-label prediction, hierarchical label prediction. Capable of handling nested entities.
Where to get started
A contributor would simply have to interface the correct attributes set by the sklearn-crfsuite wrapper into the Annotation class. Some discussion would have to be had to insure compatibility with other parts of the package.
The text was updated successfully, but these errors were encountered: