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