DESCRIPTION

Package: crfsuite
Type: Package
Title: Conditional Random Fields for Labelling Sequential Data in Natural Language Processing
Version: 0.4.2
Maintainer: Jan Wijffels <jwijffels@bnosac.be>
Authors@R: c(
    person('Jan', 'Wijffels', role = c('aut', 'cre', 'cph'), email = 'jwijffels@bnosac.be', comment = "R wrapper"), 
    person('BNOSAC', role = 'cph', comment = "R wrapper"), 
    person("Naoaki", "Okazaki", role = c('aut', 'ctb', 'cph'), comment = "CRFsuite library (BSD licensed), libLBFGS library (MIT licensed), Constant Quark Database software (BSD licensed)"),
    person("Bob", "Jenkins", role = c('aut', 'ctb'), comment = "File src/cqdb/src/lookup3.c (Public Domain)"),
    person("Jorge", "Nocedal", role = c('aut', 'ctb', 'cph'), comment = "libLBFGS library (MIT licensed)"),
    person("Jesse", "Long", role = c('aut', 'ctb', 'cph'), comment = "RumAVL library (MIT licensed)"))
Description: 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.
License: BSD_3_clause + file LICENSE
URL: https://github.com/bnosac/crfsuite
Depends: R (>= 2.10)
Imports: Rcpp, data.table (>= 1.9.6), utils, tools, stats
Suggests: udpipe, knitr, rmarkdown
LinkingTo: Rcpp
RoxygenNote: 7.1.2
VignetteBuilder: knitr