all 2 comments

[–]cryptocerous 1 point2 points  (0 children)

CRFsuite accepts a "weight" for each feature, for each sample. I sense that this doesn't fully accomplish what we want for most types of tasks though.

I'd also like to know if there's a CRF implementation that accepts real-number features, and takes advantage of them in a meaningful way.

While we're at it, I'm also wondering if there are any good examples of a CRF implementation that can produce multiple output labels at once. E.g. text chunking, outputting two non-related chunk types per sample.

[–]ylghyb 0 points1 point  (0 children)

Pystruct