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Update README.md for running CoreNLP server if setup through docker. #32

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Update README.md for running CoreNLP server if setup through docker. #32

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Expand Up @@ -71,6 +71,16 @@ $ docker run -v {path to wiki_bigrams.bin}:/sent2vec/pretrained_model.bin -it ke
You have to specify the path to your sent2vec model using the `-v` argument.
If, for example, you should choose not to use the *wiki_bigrams.bin* model, adjust your path accordingly (and of course, remember to remove the curly brackets).


To turn on the CoreNLP server and run your code through your own python script
```
$ docker run -p9000:9000 -v {path to wiki_bigrams.bin}:/sent2vec/pretrained_model.bin -it keyphrase-extraction
# Run the corenlp server
/app # cd /stanford-corenlp
/stanford-corenlp # java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -preload tokenize,ssplit,pos -status_port 9000 -port 9000 -timeout 15000 &
```
You'll get the IP (preferably 0.0.0.0) and the port (9000) on which the server is running. Add those details in the cong.ini file (as indicated in step 6 above).

# Usage

Once the CoreNLP server is running
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