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Stanford
CoreNLP is a Java
suite for Natural Language Processing
(NLP). In its new version it includes a web API server. The
NLPclient package provides client access to the
CoreNLP server. In the following we provide information on how
to set up and to use NLPclient, for more information
about the CoreNLP
Server we refer to
https://stanfordnlp.github.io/CoreNLP/corenlp-server.html
.
To install NLPclient from CRAN, execute:
install.packages("NLPclient")
For NLPclient to do anything useful CoreNLP
server has to be installed. CoreNLP server can either be
run by starting the server with Java
directly or by running
the server under docker. For running CoreNLP server with
Java
we refer to the CoreNLP
Server documentation.
The RSelenium documentation provides a nice introduction on the usage of docker which also gives guidance on the docker installation.
We recommend to use the docker image schwe/corenlp
from
https://hub.docker.com/r/schwe/corenlp
it is derived from
frnkenstien/corenlp
but allows to insert arguments into
server startup and to specify default properties. The image can be
obtained by
docker pull schwe/corenlp
To start the CoreNLP server a command similar to
docker run -p 9000:9000 --name coreNLP --rm -i -t schwe/corenlp
can be used, this will also download the docker image if necessary.
On Linux it might by necessary to run docker with sudo
or
to setup
docker to be manageable a non-root user.
The function nlp_server_docker_run
can be used to create
the run command from within R
.
nlp_server_docker_run(memory = "-mx4g", threads = 2L)
#R> "docker run -p 9000:9000 --name coreNLP --env PREARGS='-mx4g' --env SUBARGS='-threads 2' --rm -i -t schwe/corenlp"
nlp_server_docker_run
returns the run command as a
string, to run the server the command has to be copied into the terminal
(on Unix) or the docker toolbox (on Windows).
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.