title: Coreference resolution in python nltk using Stanford coreNLP
body: <p>Stanford CoreNLP provides coreference resolution <a href="http://nlp.stanford.edu/software/dcoref.shtml" rel="noreferrer">as mentioned here</a>, also <a href="https://stackoverflow.com/questions/30954649/coreference-resolution-using-stanford-corenlp">this thread</a>, <a href="https://stackoverflow.com/questions/30362691/stanford-corenlp-wrong-coreference-resolution">this</a>,   provides some insights about its implementation in Java.</p>
  
  <p>However, I am using python and NLTK and I am not sure how can I use Coreference resolution functionality of CoreNLP in my python code. I have been able to set up StanfordParser in NLTK, this is my code so far.</p>
  
  <pre><code>from nltk.parse.stanford import StanfordDependencyParser
  stanford_parser_dir = 'stanford-parser/'
  eng_model_path = stanford_parser_dir  + "stanford-parser-models/edu/stanford/nlp/models/lexparser/englishRNN.ser.gz"
  my_path_to_models_jar = stanford_parser_dir  + "stanford-parser-3.5.2-models.jar"
  my_path_to_jar = stanford_parser_dir  + "stanford-parser.jar"
  </code></pre>
  
  <p>How can I use coreference resolution of CoreNLP in python?</p>