title: Different results performing Part of Speech tagging using Core NLP and Stanford Parser?
body: <p>The Part Of Speech (POS) models that Stanford parser and Stanford CoreNlp
  uses are different, that's why there is difference in the output of the POS tagging performed through Stanford Parser and CoreNlp.</p>
  
  <ul>
  <li>Online Core NLP Output 
  <ul>
  <li>The/DT man/NN is/VBZ smoking/NN ./.</li>
  <li>A/DT woman/NN rides/NNS a/DT horse/NN ./.</li>
  </ul></li>
  <li>Online Stanford Parser Output
  <ul>
  <li>The/DT man/NN is/VBZ smoking/VBG ./.</li>
  <li>A/DT woman/NN rides/VBZ a/DT horse/NN ./.
  similarly more sentences</li>
  </ul></li>
  </ul>
  
  <p>Is there documentation comparing two models and other detail explanation for the differences ?</p>
  
  <p>It seems output of corenlp is wrong for these cases. Apart from few sentences which I checked during error analysis I guess there would be quite a lot of similar cases where these kind of errors might be.</p>