Nltk: DependencyGraph or Stanford Parser API issues with sentences with "/"

Created on 18 Nov 2016  ·  31Comments  ·  Source: nltk/nltk

A user has reported that this sentence throws and AssertionError when using Stanford's DependencyParser API in NLTK for this sentence:

for all of its insights into the dream world of teen life , and its electronic expression through cyber culture , the film gives no quarter to anyone seeking to pull a cohesive story out of its 2 1/2-hour running time .

Code:

>>> from nltk.parse.stanford import StanfordDependencyParser                                                                                       >>> dep_parser=StanfordDependencyParser(model_path="edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz")                                        
>>> sent = 'for all of its insights into the dream world of teen life , and its electronic expression through cyber culture , the film gives no quarter to anyone seeking to pull a cohesive story out of its 2 1/2-hour running time . '
>>> dep_parser.raw_parse(sent)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Library/Python/2.7/site-packages/nltk/parse/stanford.py", line 132, in raw_parse
    return next(self.raw_parse_sents([sentence], verbose))
  File "/Library/Python/2.7/site-packages/nltk/parse/stanford.py", line 150, in raw_parse_sents
    return self._parse_trees_output(self._execute(cmd, '\n'.join(sentences), verbose))
  File "/Library/Python/2.7/site-packages/nltk/parse/stanford.py", line 91, in _parse_trees_output
    res.append(iter([self._make_tree('\n'.join(cur_lines))]))
  File "/Library/Python/2.7/site-packages/nltk/parse/stanford.py", line 339, in _make_tree
    return DependencyGraph(result, top_relation_label='root')
  File "/Library/Python/2.7/site-packages/nltk/parse/dependencygraph.py", line 84, in __init__
    top_relation_label=top_relation_label,
  File "/Library/Python/2.7/site-packages/nltk/parse/dependencygraph.py", line 328, in _parse
    assert cell_number == len(cells)
AssertionError

Possibly, it might be how DependencyGraph is reading the output or that the Stanford output is inconsistent.

More details on the setup for NLTK + Stanford tools is on https://gist.github.com/alvations/e1df0ba227e542955a8a#stanford-parser

bug dependency parsing pleaseverify
Source
picture alvations

Most helpful comment

@dimazest The problem was solved. Thank you for your help and patience all this time!

picture tesslo on 13 Jul 2017
🎉1 👍1

All 31 comments

Hi @alvations Any updates on this?
Thanks

hoavt-54 picture hoavt-54 on 4 May 2017

@hoavt-54 I think there's a quick way to check whether it's Stanford side or the DependencyGraph code causing the problem using the new interface from #1249. I'll be a little busy today but perhaps someone else can check it out and get back on this.

alvations picture alvations on 5 May 2017

I can have a look, somehow I've missed this issue.

dimazest picture dimazest on 24 May 2017
👍1

@dimazest Hello, I just ran into this error. How should I fix this?

tesslo picture tesslo on 3 Jun 2017

@tesslocl what's your sentence? Did you try to use CoreNLP (nltk/parse/corenlp.py) instead?

dimazest picture dimazest on 3 Jun 2017

@dimazest I just did and I ran into another error:

Traceback (most recent call last):
  File "C:\Users\Admin\Anaconda3\lib\site-packages\requests\packages\urllib3\connectionpool.py", line 386, in _make_request
    six.raise_from(e, None)
  File "<string>", line 2, in raise_from
  File "C:\Users\Admin\Anaconda3\lib\site-packages\requests\packages\urllib3\connectionpool.py", line 382, in _make_request
    httplib_response = conn.getresponse()
  File "C:\Users\Admin\Anaconda3\lib\http\client.py", line 1198, in getresponse
    response.begin()
  File "C:\Users\Admin\Anaconda3\lib\http\client.py", line 297, in begin
    version, status, reason = self._read_status()
  File "C:\Users\Admin\Anaconda3\lib\http\client.py", line 258, in _read_status
    line = str(self.fp.readline(_MAXLINE + 1), "iso-8859-1")
  File "C:\Users\Admin\Anaconda3\lib\socket.py", line 576, in readinto
    return self._sock.recv_into(b)
socket.timeout: timed out

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Users\Admin\Anaconda3\lib\site-packages\requests\adapters.py", line 423, in send
    timeout=timeout
  File "C:\Users\Admin\Anaconda3\lib\site-packages\requests\packages\urllib3\connectionpool.py", line 649, in urlopen
    _stacktrace=sys.exc_info()[2])
  File "C:\Users\Admin\Anaconda3\lib\site-packages\requests\packages\urllib3\util\retry.py", line 347, in increment
    raise six.reraise(type(error), error, _stacktrace)
  File "C:\Users\Admin\Anaconda3\lib\site-packages\requests\packages\urllib3\packages\six.py", line 686, in reraise
    raise value
  File "C:\Users\Admin\Anaconda3\lib\site-packages\requests\packages\urllib3\connectionpool.py", line 600, in urlopen
    chunked=chunked)
  File "C:\Users\Admin\Anaconda3\lib\site-packages\requests\packages\urllib3\connectionpool.py", line 388, in _make_request
    self._raise_timeout(err=e, url=url, timeout_value=read_timeout)
  File "C:\Users\Admin\Anaconda3\lib\site-packages\requests\packages\urllib3\connectionpool.py", line 308, in _raise_timeout
    raise ReadTimeoutError(self, url, "Read timed out. (read timeout=%s)" % timeout_value)
requests.packages.urllib3.exceptions.ReadTimeoutError: HTTPConnectionPool(host='localhost', port=9000): Read timed out. (read timeout=60)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "E:\classifier\feature_extraction.py", line 473, in <module>
    print(feature_extraction(test_file_id))
  File "E:\classifier\feature_extraction.py", line 146, in feature_extraction
    for line in dep_parse:
  File "C:\Users\Admin\Anaconda3\lib\site-packages\nltk\parse\corenlp.py", line 279, in raw_parse_sents
    parsed_data = self.api_call(sentence, properties=default_properties)
  File "C:\Users\Admin\Anaconda3\lib\site-packages\nltk\parse\corenlp.py", line 247, in api_call
    timeout=60,
  File "C:\Users\Admin\Anaconda3\lib\site-packages\requests\sessions.py", line 535, in post
    return self.request('POST', url, data=data, json=json, **kwargs)
  File "C:\Users\Admin\Anaconda3\lib\site-packages\requests\sessions.py", line 488, in request
    resp = self.send(prep, **send_kwargs)
  File "C:\Users\Admin\Anaconda3\lib\site-packages\requests\sessions.py", line 609, in send
    r = adapter.send(request, **kwargs)
  File "C:\Users\Admin\Anaconda3\lib\site-packages\requests\adapters.py", line 499, in send
    raise ReadTimeout(e, request=request)
requests.exceptions.ReadTimeout: HTTPConnectionPool(host='localhost', port=9000): Read timed out. (read timeout=60)

I only changed the StanfordDependencyParser part and left the rest of the code unchanged. I've checked the docs and I suppose the methods in CoreNLP are the same, am I right? Parsing seems to be successful because the error is on the next line where I loop over the parse results.

tesslo picture tesslo on 3 Jun 2017

You need to start a cornlp server, try:

with CoreNLPServer(port=9000) as server:
    parser = CoreNLPParser(url=server.url)
    parser.parse(...)

I'm sorry for the missing documentation, and for a shirt reply, as I'm typing on my phone.

dimazest picture dimazest on 3 Jun 2017

@dimazest I really appreciate your help and quick replies. But errors stick :(

Traceback (most recent call last):
  File "E:\classifier\feature_extraction.py", line 474, in <module>
    print(feature_extraction(test_file_id))
  File "E:\classifier\feature_extraction.py", line 135, in feature_extraction
    with CoreNLPServer(port=9000) as server:
  File "C:\Users\Admin\Anaconda3\lib\site-packages\nltk\parse\corenlp.py", line 81, in __init__
    try_port(port)
  File "C:\Users\Admin\Anaconda3\lib\site-packages\nltk\parse\corenlp.py", line 35, in try_port
    sock.bind(('', port))
OSError: [WinError 10048] Only one usage of each socket address (protocol/network address/port) is normally permitted

I tried googling it but I don't know how sockets work...

tesslo picture tesslo on 3 Jun 2017

you can try other port: CoreNLPServer(port=9001), for example or just CoreNLPServer() then a free port should be chosen.

dimazest picture dimazest on 5 Jun 2017

@dimazest I have tried 9001 up to 9010 and also empty parenthesis and this is what I get every time:

Traceback (most recent call last):
  File "E:\classifier\feature_extraction.py", line 509, in <module>
    print(feature_extraction(test_file_id))
  File "E:\classifier\feature_extraction.py", line 136, in feature_extraction
    with CoreNLPServer() as server:
  File "C:\Users\Admin\Anaconda3\lib\site-packages\nltk\parse\corenlp.py", line 170, in __enter__
    self.start()
  File "C:\Users\Admin\Anaconda3\lib\site-packages\nltk\parse\corenlp.py", line 149, in start
    'Could not connect to the server.'
nltk.parse.corenlp.CoreNLPServerError: Could not connect to the server.

Considering I am in China, I have kept my VPN on while running it, but still no luck. What might be my problem here?

tesslo picture tesslo on 7 Jun 2017

Do you have corenlp .jars? You need to have a corenlp server running locally.

Can you run this example https://github.com/nltk/nltk/pull/1249#pullrequestreview-18096061

dimazest picture dimazest on 7 Jun 2017

I have jars under the directory E:\classifier\stanford\stanford-corenlp-full-2016-10-31 and I suppose these are the ones that you refer to:

stanford-corenlp-3.7.0.jar
stanford-corenlp-3.7.0-javadoc.jar
stanford-corenlp-3.7.0-models.jar
stanford-corenlp-3.7.0-sources.jar

And the directory has been set to the CLASSPATH environment variable.

I can run the example in the windows command prompt and this is the output:

Python 3.5.3 |Anaconda custom (64-bit)| (default, Feb 22 2017, 21:28:42) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> from nltk.parse.corenlp import *
>>> global server
>>> server = CoreNLPServer()
>>> server.start()
>>> parser = CoreNLPParser(url='http://localhost:9000')
>>> sent = 'the quick brown fox jumps over the lazy dog'
>>> parser.raw_parse(sent)
<list_iterator object at 0x000001F0EFED69E8>
>>> fox_parsed = next(parser.raw_parse(sent))
>>> fox_parsed.pretty_print()
                     ROOT
                      |
                      NP
       _______________|_________
      |                         NP
      |                _________|___
      |               |             PP
      |               |     ________|___
      NP              NP   |            NP
  ____|__________     |    |     _______|____
 DT   JJ    JJ   NN  NNS   IN   DT      JJ   NN
 |    |     |    |    |    |    |       |    |
the quick brown fox jumps over the     lazy dog

And when I ran this line server.start() a windows security alert pops up and I was thinking it was the firewall's fault all this time so I went to firewall settings to allow Java(TM) Platform SE binary through the firewall. I thought this would solve the problem but when I reopen the editor and run the code I still get the same error:

Traceback (most recent call last):
  File "E:\classifier\feature_extraction.py", line 503, in <module>
    print(feature_extraction(test_file_id))
  File "E:\classifier\feature_extraction.py", line 130, in feature_extraction
    with CoreNLPServer() as server:
  File "C:\Users\Admin\Anaconda3\lib\site-packages\nltk\parse\corenlp.py", line 170, in __enter__
    self.start()
  File "C:\Users\Admin\Anaconda3\lib\site-packages\nltk\parse\corenlp.py", line 149, in start
    'Could not connect to the server.'
nltk.parse.corenlp.CoreNLPServerError: Could not connect to the server.
tesslo picture tesslo on 7 Jun 2017

Once you've started the server, can you access http://localhost:9000 in your browser?

You can also start the server by yourself, refer to https://stanfordnlp.github.io/CoreNLP/corenlp-server.html

One it's running, and you can access it via the browser, you should be able to use the parser:

parser = CoreNLPParser(url='http://localhost:9000')
# and so on
dimazest picture dimazest on 7 Jun 2017

To find that out I run the example in the command prompt again but this time I get the familiar error

Python 3.5.3 |Anaconda custom (64-bit)| (default, Feb 22 2017, 21:28:42) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> from nltk.parse.corenlp import *
>>> global server
>>> server = CoreNLPServer()
>>> server.start()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Users\Admin\Anaconda3\lib\site-packages\nltk\parse\corenlp.py", line 149, in start
    'Could not connect to the server.'
nltk.parse.corenlp.CoreNLPServerError: Could not connect to the server.
>>> server.start()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Users\Admin\Anaconda3\lib\site-packages\nltk\parse\corenlp.py", line 149, in start
    'Could not connect to the server.'
nltk.parse.corenlp.CoreNLPServerError: Could not connect to the server.

... And I have no idea what happened in between. I didn't change any configuration.

I wanted to move this project to Linux long ago but I keep getting the NLTK was unable to find ***.jar! Set the CLASSPATH environment variable error on Linux. I've set CLASSPATH in /etc/environment, /etc/profile, and ~/.bash_profile and even tried copying those jars to $JAVA_HOME/lib/ but the problem sticks. Should I open another issue?

tesslo picture tesslo on 7 Jun 2017

Are you able to start a corenlp server from a terminal (not from python), check https://stanfordnlp.github.io/CoreNLP/corenlp-server.html for more details?

# Run the server using all jars in the current directory (e.g., the CoreNLP home directory)
java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -port 9000 -timeout 15000
dimazest picture dimazest on 9 Jun 2017 
E:\classifier\stanford\stanford-corenlp-full-2016-10-31>java -mx4g -cp "E:\classifier\stanford\stanford-corenlp-full-2016-10-31" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -port 9000 -timeout 15000
Error: Could not find or load main class edu.stanford.nlp.pipeline.StanfordCoreNLPServer

E:\classifier\stanford\stanford-corenlp-full-2016-10-31>java -Xmx4g -cp "E:\classifier\stanford\stanford-corenlp-full-2016-10-31" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -serverProperties StanfordCoreNLP-chinese.properties -port 9000 -timeout 15000
Error: Could not find or load main class edu.stanford.nlp.pipeline.StanfordCoreNLPServer

E:\classifier\stanford\stanford-corenlp-full-2016-10-31>java -mx4g -cp "E:\classifier\stanford\stanford-corenlp-full-2016-10-31" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -timeout 15000
Error: Could not find or load main class edu.stanford.nlp.pipeline.StanfordCoreNLPServer

Seems not. Am I doing it right?

tesslo picture tesslo on 10 Jun 2017

I finally get those Stanford modules to work on Linux. With the same lines of code, the CoreNLP server seems to start without problem but I get other errors on the line where I loop over the parse results.

Traceback (most recent call last):
  File "/home/tesslo/anaconda3/lib/python3.5/site-packages/requests/packages/urllib3/connection.py", line 141, in _new_conn
    (self.host, self.port), self.timeout, **extra_kw)
  File "/home/tesslo/anaconda3/lib/python3.5/site-packages/requests/packages/urllib3/util/connection.py", line 83, in create_connection
    raise err
  File "/home/tesslo/anaconda3/lib/python3.5/site-packages/requests/packages/urllib3/util/connection.py", line 73, in create_connection
    sock.connect(sa)
ConnectionRefusedError: [Errno 111] Connection refused

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/tesslo/anaconda3/lib/python3.5/site-packages/requests/packages/urllib3/connectionpool.py", line 600, in urlopen
    chunked=chunked)
  File "/home/tesslo/anaconda3/lib/python3.5/site-packages/requests/packages/urllib3/connectionpool.py", line 356, in _make_request
    conn.request(method, url, **httplib_request_kw)
  File "/home/tesslo/anaconda3/lib/python3.5/http/client.py", line 1107, in request
    self._send_request(method, url, body, headers)
  File "/home/tesslo/anaconda3/lib/python3.5/http/client.py", line 1152, in _send_request
    self.endheaders(body)
  File "/home/tesslo/anaconda3/lib/python3.5/http/client.py", line 1103, in endheaders
    self._send_output(message_body)
  File "/home/tesslo/anaconda3/lib/python3.5/http/client.py", line 934, in _send_output
    self.send(msg)
  File "/home/tesslo/anaconda3/lib/python3.5/http/client.py", line 877, in send
    self.connect()
  File "/home/tesslo/anaconda3/lib/python3.5/site-packages/requests/packages/urllib3/connection.py", line 166, in connect
    conn = self._new_conn()
  File "/home/tesslo/anaconda3/lib/python3.5/site-packages/requests/packages/urllib3/connection.py", line 150, in _new_conn
    self, "Failed to establish a new connection: %s" % e)
requests.packages.urllib3.exceptions.NewConnectionError: <requests.packages.urllib3.connection.HTTPConnection object at 0x7f110a9c4940>: Failed to establish a new connection: [Errno 111] Connection refused

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/tesslo/anaconda3/lib/python3.5/site-packages/requests/adapters.py", line 438, in send
    timeout=timeout
  File "/home/tesslo/anaconda3/lib/python3.5/site-packages/requests/packages/urllib3/connectionpool.py", line 649, in urlopen
    _stacktrace=sys.exc_info()[2])
  File "/home/tesslo/anaconda3/lib/python3.5/site-packages/requests/packages/urllib3/util/retry.py", line 388, in increment
    raise MaxRetryError(_pool, url, error or ResponseError(cause))
requests.packages.urllib3.exceptions.MaxRetryError: HTTPConnectionPool(host='localhost', port=9000): Max retries exceeded with url: /?properties=%7B%22annotators%22%3A+%22tokenize%2Cpos%2Clemma%2Cssplit%2Cdepparse%22%2C+%22outputFormat%22%3A+%22json%22%2C+%22ssplit.isOneSentence%22%3A+%22true%22%7D (Caused by NewConnectionError('<requests.packages.urllib3.connection.HTTPConnection object at 0x7f110a9c4940>: Failed to establish a new connection: [Errno 111] Connection refused',))

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/media/tesslo/classifier/feature_extraction.py", line 503, in <module>
    print(feature_extraction(test_file_id))
  File "/media/tesslo/classifier/feature_extraction.py", line 142, in feature_extraction
    for line in dep_parse:
  File "/home/tesslo/anaconda3/lib/python3.5/site-packages/nltk/parse/corenlp.py", line 279, in raw_parse_sents
    parsed_data = self.api_call(sentence, properties=default_properties)
  File "/home/tesslo/anaconda3/lib/python3.5/site-packages/nltk/parse/corenlp.py", line 247, in api_call
    timeout=60,
  File "/home/tesslo/anaconda3/lib/python3.5/site-packages/requests/sessions.py", line 565, in post
    return self.request('POST', url, data=data, json=json, **kwargs)
  File "/home/tesslo/anaconda3/lib/python3.5/site-packages/requests/sessions.py", line 518, in request
    resp = self.send(prep, **send_kwargs)
  File "/home/tesslo/anaconda3/lib/python3.5/site-packages/requests/sessions.py", line 639, in send
    r = adapter.send(request, **kwargs)
  File "/home/tesslo/anaconda3/lib/python3.5/site-packages/requests/adapters.py", line 502, in send
    raise ConnectionError(e, request=request)
requests.exceptions.ConnectionError: HTTPConnectionPool(host='localhost', port=9000): Max retries exceeded with url: /?properties=%7B%22annotators%22%3A+%22tokenize%2Cpos%2Clemma%2Cssplit%2Cdepparse%22%2C+%22outputFormat%22%3A+%22json%22%2C+%22ssplit.isOneSentence%22%3A+%22true%22%7D (Caused by NewConnectionError('<requests.packages.urllib3.connection.HTTPConnection object at 0x7f110a9c4940>: Failed to establish a new connection: [Errno 111] Connection refused',))

FYI Linux and Windows share the same hardware.

tesslo picture tesslo on 10 Jun 2017

Ok, there are two steps involved:
1) Start a CoreNLP Java process. There are two ways, I suggest you to start manually, that is using the java -Xmx4g -cp ... command. Did you succeed in it? You should be able to access the server via a browser by visiting http://localhost:9000. You should see in the console output, what port is being used.
2) Once the server is running, you can create a CoreNLP python client parser = CoreNLPParser(url='http://localhost:9000'). As you've started the CoreNLP Java server by yourself, you don't need to start it within the python session (don't run server = CoreNLPServer())

The error messages you post suggest that the CoreNLP Java server is not running.

dimazest picture dimazest on 10 Jun 2017

It failed:

tesslo@TLU:/media/tesslo/classifier/stanford/stanford-corenlp-full-2016-10-31$ java -mx4g -cp "/media/tesslo/classifier/stanford/stanford-corenlp-full-2016-10-31" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -port 9000 -timeout 15000
Error: Could not find or load main class edu.stanford.nlp.pipeline.StanfordCoreNLPServer
tesslo@TLU:/media/tesslo/classifier/stanford/stanford-corenlp-full-2016-10-31$ java -Xmx4g -cp "/media/tesslo/classifier/stanford/stanford-corenlp-full-2016-10-31" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -serverProperties StanfordCoreNLP-chinese.properties -port 9000 -timeout 15000
Error: Could not find or load main class edu.stanford.nlp.pipeline.StanfordCoreNLPServer
tesslo@TLU:/media/tesslo/classifier/stanford/stanford-corenlp-full-2016-10-31$ java -mx4g -cp "/media/tesslo/classifier/stanford/stanford-corenlp-full-2016-10-31" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -timeout 15000
Error: Could not find or load main class edu.stanford.nlp.pipeline.StanfordCoreNLPServer

And http://localhost:9000 shows a ERR_CONNECTION_REFUSED error

tesslo picture tesslo on 11 Jun 2017

Did you try it with "*" as a classpath: java -mx4g -cp "*" ...?

dimazest picture dimazest on 11 Jun 2017

Hi there, seems that I also encountered with this problem. My sentence is:
'Maybe, a 2 21/2 foot cord?', u'And its of a cheaper quality than the part of the charger that the micro usb plugs into...'
And I tried to figure out, it seems that the '/' causes this error.

csn6666 picture csn6666 on 20 Jun 2017

@caisinong have you tried using the new CoreNLP interface? See my comments above.

dimazest picture dimazest on 20 Jun 2017

@dimazest Sorry for the delay. I did just now:

tesslo@TLU:/media/tesslo/classifier/stanford/stanford-corenlp-full-2016-10-31$ java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -port 9000 -timeout 15000
[main] INFO CoreNLP - --- StanfordCoreNLPServer#main() called ---
[main] INFO CoreNLP - setting default constituency parser
[main] INFO CoreNLP - warning: cannot find edu/stanford/nlp/models/srparser/englishSR.ser.gz
[main] INFO CoreNLP - using: edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz instead
[main] INFO CoreNLP - to use shift reduce parser download English models jar from:
[main] INFO CoreNLP - http://stanfordnlp.github.io/CoreNLP/download.html
[main] INFO CoreNLP -     Threads: 2
[main] INFO CoreNLP - Starting server...
[main] INFO CoreNLP - StanfordCoreNLPServer listening at /0:0:0:0:0:0:0:0:9000

I'm able to visit http://localhost:9000 now, but back to the editor I'm still getting this error on the line starting the server:

Traceback (most recent call last):
  File "/media/tesslo/classifier/feature_extraction.py", line 503, in <module>
    print(feature_extraction(test_file_id))
  File "/media/tesslo/classifier/feature_extraction.py", line 130, in feature_extraction
    with CoreNLPServer() as server:
  File "/home/tesslo/anaconda3/lib/python3.5/site-packages/nltk/parse/corenlp.py", line 170, in __enter__
    self.start()
  File "/home/tesslo/anaconda3/lib/python3.5/site-packages/nltk/parse/corenlp.py", line 149, in start
    'Could not connect to the server.'
nltk.parse.corenlp.CoreNLPServerError: Could not connect to the server.
tesslo picture tesslo on 25 Jun 2017

Once you've started a server manually, you don't need to start server in the code.

Keep the server running and instantiate the parser:

parser = CoreNLPParser(url='http://localhost:9000')
dimazest picture dimazest on 25 Jun 2017
👍2

@dimazest The problem was solved. Thank you for your help and patience all this time!

tesslo picture tesslo on 13 Jul 2017
🎉1 👍1

I have similar experience. Starting the Stanford CorenNLP server in the code is messy and should only be used for testing purposes. Maybe we should somehow not expose that to the user.

alvations picture alvations on 13 Jul 2017

I'm glad that things are working. Indeed, the server should be started outside of Python code.

dimazest picture dimazest on 14 Jul 2017
👍1

Patched and resolved by new CoreNLP API =)

alvations picture alvations on 4 Oct 2017

@dimazest Hi... if the text contains \ or / solution for Assertion Error is to only use Core NLP? i'm using stanford-parser-full-2017-06-09
Sentence used for parsing was Iraqi security forces drove Islamic State fighters from the centre of a town just south of the militants\' main stronghold of Mosul on Saturday and reached within a few km (miles) of an airport on the edge of the city, a senior commander said.

kavin26 picture kavin26 on 28 Dec 2017

@kavin26 Yes, please use the nltk.parse.corenlp.CoreNLPParser.

alvations picture alvations on 28 Dec 2017

@alvations thank you so much :+1:

kavin26 picture kavin26 on 28 Dec 2017
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