A docker image containing the socket implementation of Stanford's CoreNLP suite.
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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. Full Dockerfile available on my Github repository: https://github.com/grahamimac/corenlp-complete-docker.
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 haub/corenlp
If running in conjunction with other containers, modify as follows:
docker run -itPd --name corenlp --link other_container_name:other_container_name haub/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):
(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 -
(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=(',', ': ')))
(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)
Content type
Image
Digest
Size
978.4 MB
Last updated
about 5 years ago
docker pull haub/corenlp