I downloaded and installed the StanfordCoreNLP as follows:
$ cd
$ wget http://nlp.stanford.edu/software/stanford-ner-2015-12-09.zip
$ unzip stanford-ner-2015-12-09.zip
$ ls stanford-ner-2015-12-09/
build.xml    LICENSE.txt   ner-gui.bat      ner.sh                 sample.ner.txt     stanford-ner-3.6.0.jar          stanford-ner.jar
classifiers  ner.bat       ner-gui.command  README.txt             sample.txt         stanford-ner-3.6.0-javadoc.jar
lib          NERDemo.java  ner-gui.sh       sample-conll-file.txt  sample-w-time.txt  stanford-ner-3.6.0-sources.jar
$ export STANFORDTOOLSDIR=$HOME
$ export CLASSPATH=$STANFORDTOOLSDIR/stanford-ner-2015-12-09/stanford-ner.jar
$ export STANFORD_MODELS=$STANFORDTOOLSDIR/stanford-ner-2015-12-09/classifiers
Then let's try if it actually worked:
$ python3
>>>import nltk
>>> nltk.__version__
'3.1'
>>> from nltk.tag import StanfordNERTagger
>>> st = StanfordNERTagger('english.all.3class.distsim.crf.ser.gz')
>>> st.tag('Rami Eid is studying at Stony Brook University in NY'.split())
[('Rami', 'PERSON'), ('Eid', 'PERSON'), ('is', 'O'), ('studying', 'O'), ('at', 'O'), ('Stony', 'ORGANIZATION'), ('Brook', 'ORGANIZATION'), ('University', 'ORGANIZATION'), ('in', 'O'), ('NY', 'O')]
So, upon here everything works perfect. The problem is when I close the terminal and start working in the jupyter notebook (or pycharm):
In:
from nltk.tag import StanfordNERTagger
st = StanfordNERTagger('english.all.3class.distsim.crf.ser.gz')
st.tag('Rami Eid is studying at Stony Brook University in NY'.split())
Out:
---------------------------------------------------------------------------
LookupError                               Traceback (most recent call last)
<ipython-input-2-118c7edca797> in <module>()
      1 from nltk.tag import StanfordNERTagger
----> 2 st = StanfordNERTagger('english.all.3class.distsim.crf.ser.gz')
      3 st.tag('Rami Eid is studying at Stony Brook University in NY'.split())
/usr/local/lib/python3.5/site-packages/nltk/tag/stanford.py in __init__(self, *args, **kwargs)
    166 
    167     def __init__(self, *args, **kwargs):
--> 168         super(StanfordNERTagger, self).__init__(*args, **kwargs)
    169 
    170     @property
/usr/local/lib/python3.5/site-packages/nltk/tag/stanford.py in __init__(self, model_filename, path_to_jar, encoding, verbose, java_options)
     51                 self._JAR, path_to_jar,
     52                 searchpath=(), url=_stanford_url,
---> 53                 verbose=verbose)
     54 
     55         self._stanford_model = find_file(model_filename,
/usr/local/lib/python3.5/site-packages/nltk/__init__.py in find_jar(name_pattern, path_to_jar, env_vars, searchpath, url, verbose, is_regex)
    717         searchpath=(), url=None, verbose=True, is_regex=False):
    718     return next(find_jar_iter(name_pattern, path_to_jar, env_vars,
--> 719                          searchpath, url, verbose, is_regex))
    720 
    721 
/usr/local/lib/python3.5/site-packages/nltk/__init__.py in find_jar_iter(name_pattern, path_to_jar, env_vars, searchpath, url, verbose, is_regex)
    712                     (name_pattern, url))
    713         div = '='*75
--> 714         raise LookupError('\n\n%s\n%s\n%s' % (div, msg, div))
    715 
    716 def find_jar(name_pattern, path_to_jar=None, env_vars=(),
LookupError: 
===========================================================================
  NLTK was unable to find stanford-ner.jar! Set the CLASSPATH
  environment variable.
  For more information, on stanford-ner.jar, see:
    <http://nlp.stanford.edu/software>
===========================================================================
So, my question is how to set the environment variables correctly?, I also tried to add this to my bash profile:
#StanfordCORENLP
export STANFORDTOOLSDIR=$HOME
export CLASSPATH=$STANFORDTOOLSDIR/stanford-ner-2015-12-09/stanford-ner.jar
export STANFORD_MODELS=$STANFORDTOOLSDIR/stanford-ner-2015-12-09/classifiers
Update
Based on @alexis answer, this is what I tried:
user@MacBook-Pro:~$ % jupyter notebook /Users/user/Jupyter/Project1/Version1 &
-bash: bg: %: no such job
-bash: bg: jupyter: no such job
-bash: bg: notebook: no such job
-bash: bg: /Users/user/Jupyter/Project1/Version1: no such job
And this:
user@MacBook-Pro-de-User:~$ sudo mate /etc/launchd.conf
Password:
path::entries: scandir("/Applications/TextMate.app/Contents/Resources/PrivilegedTool"): Not a directory
Then:
user@MacBook-Pro-de-User:~$ sudo mate /etc/launchd.conf
Password:
path::entries: scandir("/Applications/TextMate.app/Contents/Resources/PrivilegedTool"): Not a directory
Then in the text editor:
#StanfordCORENLP
setenv export STANFORDTOOLSDIR=$HOME
setenv export CLASSPATH=$STANFORDTOOLSDIR/stanford-ner-2015-12-09/stanford-ner.jar
setenv export STANFORD_MODELS=$STANFORDTOOLSDIR/stanford-ner-2015-12-09/classifiers
Update2
I tried the following:
user@MacBook-Pro-de-User:~$ jupyter notebook /Users/user/Jupyter/Project1/Version1 & /Users/user/stanford-ner-2015-12-09
Then:
---------------------------------------------------------------------------
LookupError                               Traceback (most recent call last)
<ipython-input-1-215fd2418c10> in <module>()
      1 from nltk.tag import StanfordNERTagger
----> 2 st = StanfordNERTagger('english.all.3class.distsim.crf.ser.gz')
      3 #st = StanfordNERTagger('/home/me/stanford/stanford-postagger-full-2015-04-20/classifier/tagger.ser.gz',\
      4                            #'/home/me/stanford/stanford-spanish-corenlp-2015-01-08-models.jar')
      5 st.tag('Rami Eid is studying at Stony Brook University in NY'.split())
/usr/local/lib/python3.5/site-packages/nltk/tag/stanford.py in __init__(self, *args, **kwargs)
    166 
    167     def __init__(self, *args, **kwargs):
--> 168         super(StanfordNERTagger, self).__init__(*args, **kwargs)
    169 
    170     @property
/usr/local/lib/python3.5/site-packages/nltk/tag/stanford.py in __init__(self, model_filename, path_to_jar, encoding, verbose, java_options)
     51                 self._JAR, path_to_jar,
     52                 searchpath=(), url=_stanford_url,
---> 53                 verbose=verbose)
     54 
     55         self._stanford_model = find_file(model_filename,
/usr/local/lib/python3.5/site-packages/nltk/__init__.py in find_jar(name_pattern, path_to_jar, env_vars, searchpath, url, verbose, is_regex)
    717         searchpath=(), url=None, verbose=True, is_regex=False):
    718     return next(find_jar_iter(name_pattern, path_to_jar, env_vars,
--> 719                          searchpath, url, verbose, is_regex))
    720 
    721 
/usr/local/lib/python3.5/site-packages/nltk/__init__.py in find_jar_iter(name_pattern, path_to_jar, env_vars, searchpath, url, verbose, is_regex)
    712                     (name_pattern, url))
    713         div = '='*75
--> 714         raise LookupError('\n\n%s\n%s\n%s' % (div, msg, div))
    715 
    716 def find_jar(name_pattern, path_to_jar=None, env_vars=(),
LookupError: 
===========================================================================
  NLTK was unable to find stanford-ner.jar! Set the CLASSPATH
  environment variable.
  For more information, on stanford-ner.jar, see:
    <http://nlp.stanford.edu/software>
===========================================================================
 
     
    