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License: BSD 2-Clause "Simplified" License
First-order, linear-chain conditional random fields with position-wise constraints over label values
License: BSD 2-Clause "Simplified" License
The R0 construction method supplied to the training function can be of the type
SentL a b -> Set b
instead of:
[SentL a b] -> Set b.
Then we can union results gathered for individual sentences. The same applies to the feature selection.
It has a dummy mkWordL = id
implementation right now.
It appears an update of one of the dependencies broke the build. See http://hydra.cryp.to/build/574078/log/raw for a complete log that shows the error.
The (Feature -> Ix) map is used during the training process, but it is not needed for label tagging. It would be great if we could (optionally) get rid of the map, because it probably takes a lot of memory. To consider:
See theFIXME
label in the source code.
Constraints can be shared between different words during the training process. Pros:
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