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crfsuite: Conditional Random Fields for Labelling Sequential Data in Natural Language Processing

Wraps the 'CRFsuite' library <https://github.com/chokkan/crfsuite> allowing users to fit a Conditional Random Field model and to apply it on existing data. The focus of the implementation is in the area of Natural Language Processing where this R package allows you to easily build and apply models for named entity recognition, text chunking, part of speech tagging, intent recognition or classification of any category you have in mind. Next to training, a small web application is included in the package to allow you to easily construct training data.

Version: 0.4.2
Depends: R (≥ 2.10)
Imports: Rcpp, data.table (≥ 1.9.6), utils, tools, stats
LinkingTo: Rcpp
Suggests: udpipe, knitr, rmarkdown
Published: 2023-09-17
DOI: 10.32614/CRAN.package.crfsuite
Author: Jan Wijffels [aut, cre, cph] (R wrapper), BNOSAC [cph] (R wrapper), Naoaki Okazaki [aut, ctb, cph] (CRFsuite library (BSD licensed), libLBFGS library (MIT licensed), Constant Quark Database software (BSD licensed)), Bob Jenkins [aut, ctb] (File src/cqdb/src/lookup3.c (Public Domain)), Jorge Nocedal [aut, ctb, cph] (libLBFGS library (MIT licensed)), Jesse Long [aut, ctb, cph] (RumAVL library (MIT licensed))
Maintainer: Jan Wijffels <jwijffels at bnosac.be>
License: BSD_3_clause + file LICENSE
URL: https://github.com/bnosac/crfsuite
NeedsCompilation: yes
Materials: README NEWS
In views: NaturalLanguageProcessing
CRAN checks: crfsuite results

Documentation:

Reference manual: crfsuite.pdf
Vignettes: Conditional Random Fields for NER and Chunking

Downloads:

Package source: crfsuite_0.4.2.tar.gz
Windows binaries: r-devel: crfsuite_0.4.2.zip, r-release: crfsuite_0.4.2.zip, r-oldrel: crfsuite_0.4.2.zip
macOS binaries: r-release (arm64): crfsuite_0.4.2.tgz, r-oldrel (arm64): crfsuite_0.4.2.tgz, r-release (x86_64): crfsuite_0.4.2.tgz, r-oldrel (x86_64): crfsuite_0.4.2.tgz
Old sources: crfsuite archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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