This Dockerfile builds the Stanford CoreNLP
Server and
shift-reduce parser. It exposes the endpoint on port 9000. Requests
are made as covered in the documentation. Including the shift-reduce parser
makes the image rather large (2.5gb+). You can specify the version you want to
build via --build-arg.
docker build --build-arg CORENLP_VERSION=${CORENLP_VERSION} -t corenlp:${CORENLP_VERSION} .The container runs the server with some simple defaults and runs the jar with 4gb of memory. The command can be overriden when you start the container. For example:
docker run -p 9000:9000 -d corenlp java -cp "*" -mx15g edu.stanford.nlp.pipeline.StanfordCoreNLPServer -parse.model edu/stanford/nlp/models/srparser/englishSR.ser.gz -preload tokenize,ssplit,pos,lemma,depparse,ner,kbp,relation,coref,quote,sentiment -quiet