CoreNLP Complete Dockerfile

Overview

Dockerfile for creating the complete, updated version of the Stanford CoreNLP Server.

Creates the Stanford CoreNLP Server and opens port 9000, using the latest zip file. For complete information on using the server, see the documentation in the link above.

Running the server

To run the server, you need Docker installed. Run the following command (if you don't have superuser priveleges, add sudo to the front of this command):

docker run -itd -p 9000:9000 --name corenlp graham3333/corenlp-complete

If running in conjunction with other containers, modify as follows:

docker run -itPd --name corenlp --link other_container_name:other_container_name graham3333/corenlp-complete

Accessing CoreNLP

The service should now be available at http://0.0.0.0:9000 on your local machine. To test that the site is up, you can run the following (from the CoreNLP website):

Bash

(command line prompt in windows / terminal in Mac) If you like wget

wget --post-data 'The quick brown fox jumped over the lazy dog.' 'localhost:9000/?properties={"annotators":"tokenize,ssplit,pos","outputFormat":"json"}' -O -

OR if you like curl

curl --data 'The quick brown fox jumped over the lazy dog.' 'http://localhost:9000/?properties={%22annotators%22%3A%22tokenize%2Cssplit%2Cpos%22%2C%22outputFormat%22%3A%22json%22}' -o -

Python

(Make sure you've installed requests, on the command line using: pip install requests)

import requests
import json

params = {'properties':'{"annotators": "tokenize,ssplit,lemma,pos,ner,depparse,openie,sentiment"}'}
url = 'http://localhost:9000/'

# Get information about the sentence from CoreNLP
text = 'The quick brown fox jumped over the lazy dog.'
r = requests.post(url, data=text, params=params, timeout=60)
data = json.loads(r.text)
print(json.dumps(data, sort_keys=True,indent=4, separators=(',', ': ')))

R

(Make sure you've installed httr using: install.packages("httr"))

library(httr)

url = 'http://localhost:9000/'
query = '{"annotators": "tokenize,ssplit,lemma,pos,ner,depparse,openie,sentiment"}'
text = 'The quick brown fox jumped over the lazy dog.'
r <- POST(url, query = list(properties = query), body = text, encode = "form")
content(r)