nametagger: Named Entity Recognition in Texts using 'NameTag'

Wraps the 'nametag' library <https://github.com/ufal/nametag>, allowing users to find and extract entities (names, persons, locations, addresses, ...) in raw text and build your own entity recognition models. Based on a maximum entropy Markov model which is described in Strakova J., Straka M. and Hajic J. (2013) <http://ufal.mff.cuni.cz/~straka/papers/2013-tsd_ner.pdf>.

Version: 0.1.1
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 0.11.5), utils
LinkingTo: Rcpp
Suggests: udpipe (≥ 0.2)
Published: 2020-10-11
Author: Jan Wijffels [aut, cre, cph], BNOSAC [cph], Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic [cph], Milan Straka [ctb, cph], Jana Strakov√° [ctb, cph]
Maintainer: Jan Wijffels <jwijffels at bnosac.be>
License: MPL-2.0
URL: https://github.com/bnosac/nametagger
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: nametagger results

Downloads:

Reference manual: nametagger.pdf
Package source: nametagger_0.1.1.tar.gz
Windows binaries: r-devel: nametagger_0.1.1.zip, r-release: nametagger_0.1.1.zip, r-oldrel: nametagger_0.1.1.zip
macOS binaries: r-release: nametagger_0.1.1.tgz, r-oldrel: nametagger_0.1.1.tgz
Old sources: nametagger archive

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