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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) <https://ufal.mff.cuni.cz/~straka/papers/2013-tsd_ner.pdf>.

Version: 0.1.3
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 0.11.5), utils
LinkingTo: Rcpp
Suggests: udpipe (≥ 0.2)
Published: 2023-09-13
DOI: 10.32614/CRAN.package.nametagger
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 Straková [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

Documentation:

Reference manual: nametagger.pdf

Downloads:

Package source: nametagger_0.1.3.tar.gz
Windows binaries: r-devel: nametagger_0.1.3.zip, r-release: nametagger_0.1.3.zip, r-oldrel: nametagger_0.1.3.zip
macOS binaries: r-release (arm64): nametagger_0.1.3.tgz, r-oldrel (arm64): nametagger_0.1.3.tgz, r-release (x86_64): nametagger_0.1.3.tgz, r-oldrel (x86_64): nametagger_0.1.3.tgz
Old sources: nametagger 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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