Can i use this source code in windows 7 32 bit operating system? about negation-detection

[gkotsis]

Unfortunately, I have never tested it in a Windows environment. I imagine firing up the HTTP server includes POSIX threads.

To my knowledge this is only available in Unix environments.

It should work on any MacOS/Linux/Unix environment though...

[thavasimaniraj]

Dear sir, Thank you very much for your reply. When i am trying to run this source code from python in ubuntu, there are giving this error: proc = CoreNLP("pos", corenlp_jars=["/home/jeyam/Desktop/stanford-corenlp-full-2015-04-20/"]) INFO:CoreNLP_PyWrapper:mode given as 'pos' so setting annotators: tokenize, ssplit, pos, lemma INFO:CoreNLP_PyWrapper:Starting java subprocess, and waiting for signal it's ready, with command: exec java -Xmx4g -XX:ParallelGCThreads=1 -cp '/home/jeyam/stanford_corenlp_pywrapper/stanford_corenlp_pywrapper/lib/:/home/jeyam/Desktop/stanford-corenlp-full-2015-04-20/*' corenlp.SocketServer --outpipe /tmp/corenlp_pywrap_pipe_pypid=3106_time=1487060888.04 --configdict '{"annotators": "tokenize, ssplit, pos, lemma"}' /bin/sh: 1: exec: java: not found ^CTraceback (most recent call last): File "", line 1, in File "stanford_corenlp_pywrapper/sockwrap.py", line 151, in init self.start_server() File "stanford_corenlp_pywrapper/sockwrap.py", line 181, in start_server self.outpipe_fp = open(self.outpipe, 'r') KeyboardInterrupt Can you help me, how to solve it.

…

On 2/14/17, George Gkotsis ***@***.***> wrote: Unfortunately, I have never tested it in a Windows environment. I imagine firing up the HTTP server includes POSIX threads. To my knowledge this is only available in Unix environments. It should work on any MacOS/Linux/Unix environment though... -- You are receiving this because you authored the thread. Reply to this email directly or view it on GitHub: #1 (comment)

-- Regards with, J.Manimaran M.Sc.,

[gkotsis]

It appears you have not installed Java? or maybe it's not in your PATH?

[thavasimaniraj]

Dear sir, Thank you for your reply again. I resolved that problem by installing java PATH. Now other kind of error show due to invalid heap size like: jeyam@ubuntu:~$ cd stanford_corenlp_pywrapper/ jeyam@ubuntu:~/stanford_corenlp_pywrapper$ python Python 2.7.3 (default, Apr 20 2012, 22:44:07) [GCC 4.6.3] on linux2 Type "help", "copyright", "credits" or "license" for more information.

>> from stanford_corenlp_pywrapper import CoreNLP >> proc = CoreNLP("pos", corenlp_jars=["/home/jeyam/Desktop/stanford-corenlp-full-2015-04-20/*"])

INFO:CoreNLP_PyWrapper:mode given as 'pos' so setting annotators: tokenize, ssplit, pos, lemma INFO:CoreNLP_PyWrapper:Starting java subprocess, and waiting for signal it's ready, with command: exec java -Xmx4g -XX:ParallelGCThreads=1 -cp '/home/jeyam/stanford_corenlp_pywrapper/stanford_corenlp_pywrapper/lib/*:/home/jeyam/Desktop/stanford-corenlp-full-2015-04-20/*' corenlp.SocketServer --outpipe /tmp/corenlp_pywrap_pipe_pypid=4078_time=1487085095.42 --configdict '{"annotators": "tokenize, ssplit, pos, lemma"}' Invalid maximum heap size: -Xmx4g The specified size exceeds the maximum representable size. Error: Could not create the Java Virtual Machine. Error: A fatal exception has occurred. Program will exit. I am using ubuntu 32 bit OS within VMWare and my RAM size is 4 GB. Can you please guide me What configuration did you use?

…

On 2/14/17, George Gkotsis ***@***.***> wrote: It appears you have not installed Java? or maybe it's not in your PATH? -- You are receiving this because you authored the thread. Reply to this email directly or view it on GitHub: #1 (comment)

-- Regards with, J.Manimaran M.Sc.,

[gkotsis]

Try reducing the heap size, i.e.

-Xmx2g

maybe?

[thavasimaniraj]

Dear sir, Thank you sir. I solved this problem by changing the heap size as you mention above. But, now i have worked in the following way, there are show some problem for "ImportError: No module named negation_detection" Step 1: jeyam@ubuntu:~$ cd stanford_corenlp_pywrapper/ jeyam@ubuntu:~/stanford_corenlp_pywrapper$ python Python 2.7 (r27:82500, Feb 15 2017, 07:13:49) [GCC 4.6.3] on linux3 Type "help", "copyright", "credits" or "license" for more information.

>> from stanford_corenlp_pywrapper import CoreNLP >> proc = CoreNLP("pos", corenlp_jars=["/home/jeyam/Desktop/stanford-corenlp-full-2015-04-20/*"])

INFO:CoreNLP_PyWrapper:mode given as 'pos' so setting annotators: tokenize, ssplit, pos, lemma INFO:CoreNLP_PyWrapper:Starting java subprocess, and waiting for signal it's ready, with command: exec java -Xmx2g -XX:ParallelGCThreads=1 -cp '/home/jeyam/stanford_corenlp_pywrapper/stanford_corenlp_pywrapper/lib/*:/home/jeyam/Desktop/stanford-corenlp-full-2015-04-20/*' corenlp.SocketServer --outpipe /tmp/corenlp_pywrap_pipe_pypid=5226_time=1487231840.37 --configdict '{"annotators": "tokenize, ssplit, pos, lemma"}' Adding annotator tokenize TokenizerAnnotator: No tokenizer type provided. Defaulting to PTBTokenizer. Adding annotator ssplit Adding annotator pos Reading POS tagger model from edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger ... done [2.5 sec]. Adding annotator lemma INFO:CoreNLP_JavaServer: CoreNLP pipeline initialized. INFO:CoreNLP_JavaServer: Waiting for commands on stdin INFO:CoreNLP_PyWrapper:Successful ping. The server has started. INFO:CoreNLP_PyWrapper:Subprocess is ready.

>>

the stanford_corenlp_pywrapper is working fine. but, Step 2: I have placed the stanford_corenlp_pywrapper in the following location "/home/jeyam/stanford_corenlp_pywrapper" and our souce code "negation_detection" in the following location "/home/jeyam/negation-detection" So please guide me, it is correct or not. Thanks in advance.

…

On 2/14/17, George Gkotsis ***@***.***> wrote: Try reducing the heap size, i.e. -Xmx2g maybe? -- You are receiving this because you authored the thread. Reply to this email directly or view it on GitHub: #1 (comment)

-- Regards with, J.Manimaran M.Sc.,

[thavasimaniraj]

Dear sir, The error is like, jeyam@ubuntu:~$ cd stanford_corenlp_pywrapper/ jeyam@ubuntu:~/stanford_corenlp_pywrapper$ python Python 2.7 (r27:82500, Feb 15 2017, 07:13:49) [GCC 4.6.3] on linux3 Type "help", "copyright", "credits" or "license" for more information.

>> from stanford_corenlp_pywrapper import CoreNLP >> proc = CoreNLP("pos", corenlp_jars=["/home/jeyam/Desktop/stanford-corenlp-full-2015-04-20/*"])

INFO:CoreNLP_PyWrapper:mode given as 'pos' so setting annotators: tokenize, ssplit, pos, lemma INFO:CoreNLP_PyWrapper:Starting java subprocess, and waiting for signal it's ready, with command: exec java -Xmx2g -XX:ParallelGCThreads=1 -cp '/home/jeyam/stanford_corenlp_pywrapper/stanford_corenlp_pywrapper/lib/*:/home/jeyam/Desktop/stanford-corenlp-full-2015-04-20/*' corenlp.SocketServer --outpipe /tmp/corenlp_pywrap_pipe_pypid=5226_time=1487231840.37 --configdict '{"annotators": "tokenize, ssplit, pos, lemma"}' Adding annotator tokenize TokenizerAnnotator: No tokenizer type provided. Defaulting to PTBTokenizer. Adding annotator ssplit Adding annotator pos Reading POS tagger model from edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger ... done [2.5 sec]. Adding annotator lemma INFO:CoreNLP_JavaServer: CoreNLP pipeline initialized. INFO:CoreNLP_JavaServer: Waiting for commands on stdin INFO:CoreNLP_PyWrapper:Successful ping. The server has started. INFO:CoreNLP_PyWrapper:Subprocess is ready.

>> import negation_detection

Traceback (most recent call last): File "<stdin>", line 1, in <module> ImportError: No module named negation_detection Thanks in advance.

…

On 2/16/17, Mani Raj ***@***.***> wrote: Dear sir, Thank you sir. I solved this problem by changing the heap size as you mention above. But, now i have worked in the following way, there are show some problem for "ImportError: No module named negation_detection" Step 1: ***@***.***:~$ cd stanford_corenlp_pywrapper/ ***@***.***:~/stanford_corenlp_pywrapper$ python Python 2.7 (r27:82500, Feb 15 2017, 07:13:49) [GCC 4.6.3] on linux3 Type "help", "copyright", "credits" or "license" for more information. >>> from stanford_corenlp_pywrapper import CoreNLP >>> proc = CoreNLP("pos", >>> corenlp_jars=["/home/jeyam/Desktop/stanford-corenlp-full-2015-04-20/*"]) INFO:CoreNLP_PyWrapper:mode given as 'pos' so setting annotators: tokenize, ssplit, pos, lemma INFO:CoreNLP_PyWrapper:Starting java subprocess, and waiting for signal it's ready, with command: exec java -Xmx2g -XX:ParallelGCThreads=1 -cp '/home/jeyam/stanford_corenlp_pywrapper/stanford_corenlp_pywrapper/lib/*:/home/jeyam/Desktop/stanford-corenlp-full-2015-04-20/*' corenlp.SocketServer --outpipe /tmp/corenlp_pywrap_pipe_pypid=5226_time=1487231840.37 --configdict '{"annotators": "tokenize, ssplit, pos, lemma"}' Adding annotator tokenize TokenizerAnnotator: No tokenizer type provided. Defaulting to PTBTokenizer. Adding annotator ssplit Adding annotator pos Reading POS tagger model from edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger ... done [2.5 sec]. Adding annotator lemma INFO:CoreNLP_JavaServer: CoreNLP pipeline initialized. INFO:CoreNLP_JavaServer: Waiting for commands on stdin INFO:CoreNLP_PyWrapper:Successful ping. The server has started. INFO:CoreNLP_PyWrapper:Subprocess is ready. >>> the stanford_corenlp_pywrapper is working fine. but, Step 2: I have placed the stanford_corenlp_pywrapper in the following location "/home/jeyam/stanford_corenlp_pywrapper" and our souce code "negation_detection" in the following location "/home/jeyam/negation-detection" So please guide me, it is correct or not. Thanks in advance. On 2/14/17, George Gkotsis ***@***.***> wrote: > Try reducing the heap size, i.e. > > -Xmx2g > > maybe? > > -- > You are receiving this because you authored the thread. > Reply to this email directly or view it on GitHub: > #1 (comment) -- Regards with, J.Manimaran M.Sc.,

-- Regards with, J.Manimaran M.Sc.,

[thavasimaniraj]

Dear sir, In addition, i have also tried to run both package module by the following way, jeyam@ubuntu:~/stanford_corenlp_pywrapper$ ls build.sh proc_text_files_to_stdout.py sample.ini examples README.md setup.py proc_text_files.py run_examples.sh stanford_corenlp_pywrapper jeyam@ubuntu:~/stanford_corenlp_pywrapper$ python setup.py install Traceback (most recent call last): File "setup.py", line 1, in <module> from setuptools import setup ImportError: No module named setuptools jeyam@ubuntu:~/stanford_corenlp_pywrapper$ There are giving "ImportError: No module named setuptools". Please help me, how to run this source code? Thanks in advance.

…

On 2/16/17, Mani Raj ***@***.***> wrote: Dear sir, The error is like, ***@***.***:~$ cd stanford_corenlp_pywrapper/ ***@***.***:~/stanford_corenlp_pywrapper$ python Python 2.7 (r27:82500, Feb 15 2017, 07:13:49) [GCC 4.6.3] on linux3 Type "help", "copyright", "credits" or "license" for more information. >>> from stanford_corenlp_pywrapper import CoreNLP >>> proc = CoreNLP("pos", >>> corenlp_jars=["/home/jeyam/Desktop/stanford-corenlp-full-2015-04-20/*"]) INFO:CoreNLP_PyWrapper:mode given as 'pos' so setting annotators: tokenize, ssplit, pos, lemma INFO:CoreNLP_PyWrapper:Starting java subprocess, and waiting for signal it's ready, with command: exec java -Xmx2g -XX:ParallelGCThreads=1 -cp '/home/jeyam/stanford_corenlp_pywrapper/stanford_corenlp_pywrapper/lib/*:/home/jeyam/Desktop/stanford-corenlp-full-2015-04-20/*' corenlp.SocketServer --outpipe /tmp/corenlp_pywrap_pipe_pypid=5226_time=1487231840.37 --configdict '{"annotators": "tokenize, ssplit, pos, lemma"}' Adding annotator tokenize TokenizerAnnotator: No tokenizer type provided. Defaulting to PTBTokenizer. Adding annotator ssplit Adding annotator pos Reading POS tagger model from edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger ... done [2.5 sec]. Adding annotator lemma INFO:CoreNLP_JavaServer: CoreNLP pipeline initialized. INFO:CoreNLP_JavaServer: Waiting for commands on stdin INFO:CoreNLP_PyWrapper:Successful ping. The server has started. INFO:CoreNLP_PyWrapper:Subprocess is ready. >>> import negation_detection Traceback (most recent call last): File "<stdin>", line 1, in <module> ImportError: No module named negation_detection Thanks in advance. On 2/16/17, Mani Raj ***@***.***> wrote: > Dear sir, > > Thank you sir. > > I solved this problem by changing the heap size as you mention above. > But, now i have worked in the following way, there are show some > problem for "ImportError: No module named negation_detection" > > Step 1: > ***@***.***:~$ cd stanford_corenlp_pywrapper/ > ***@***.***:~/stanford_corenlp_pywrapper$ python > Python 2.7 (r27:82500, Feb 15 2017, 07:13:49) > [GCC 4.6.3] on linux3 > Type "help", "copyright", "credits" or "license" for more information. >>>> from stanford_corenlp_pywrapper import CoreNLP >>>> proc = CoreNLP("pos", >>>> corenlp_jars=["/home/jeyam/Desktop/stanford-corenlp-full-2015-04-20/*"]) > INFO:CoreNLP_PyWrapper:mode given as 'pos' so setting annotators: > tokenize, ssplit, pos, lemma > INFO:CoreNLP_PyWrapper:Starting java subprocess, and waiting for > signal it's ready, with command: exec java -Xmx2g > -XX:ParallelGCThreads=1 -cp > '/home/jeyam/stanford_corenlp_pywrapper/stanford_corenlp_pywrapper/lib/*:/home/jeyam/Desktop/stanford-corenlp-full-2015-04-20/*' > corenlp.SocketServer --outpipe > /tmp/corenlp_pywrap_pipe_pypid=5226_time=1487231840.37 --configdict > '{"annotators": "tokenize, ssplit, pos, lemma"}' > Adding annotator tokenize > TokenizerAnnotator: No tokenizer type provided. Defaulting to > PTBTokenizer. > Adding annotator ssplit > Adding annotator pos > Reading POS tagger model from > edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger > ... done [2.5 sec]. > Adding annotator lemma > INFO:CoreNLP_JavaServer: CoreNLP pipeline initialized. > INFO:CoreNLP_JavaServer: Waiting for commands on stdin > INFO:CoreNLP_PyWrapper:Successful ping. The server has started. > INFO:CoreNLP_PyWrapper:Subprocess is ready. >>>> > > the stanford_corenlp_pywrapper is working fine. but, > > Step 2: I have placed the stanford_corenlp_pywrapper in the following > location "/home/jeyam/stanford_corenlp_pywrapper" and our souce code > "negation_detection" in the following location > "/home/jeyam/negation-detection" > > So please guide me, it is correct or not. > > > Thanks in advance. > > > On 2/14/17, George Gkotsis ***@***.***> wrote: >> Try reducing the heap size, i.e. >> >> -Xmx2g >> >> maybe? >> >> -- >> You are receiving this because you authored the thread. >> Reply to this email directly or view it on GitHub: >> #1 (comment) > > > -- > Regards with, > > J.Manimaran M.Sc., > -- Regards with, J.Manimaran M.Sc.,

-- Regards with, J.Manimaran M.Sc.,

[gkotsis]

• for the last error you probably need to install setuptools (google it, depends on your current python installation)

• for the negation error, it appears you are either trying to run it from a different folder (stanford core nlp) or that you have not installed stanford_corenlp_pywrapper (see installation guideline in my repo)

Else, try removing everything and starting from scratch; if you follow the steps one by one, I believe you may be successful

[thavasimaniraj]

Dear sir, Thank you for your continuous reply. As per your last instruction, i worked very well. Now, i resolved that error, but finally i got this following error i think due to conflict python version 3 or 2.7.

>> sentence = "ZZZZ reported no recent periods of low mood, discussed how in the past she made many suicide attempts" >> negation.predict(sentence, 'suicide')

Traceback (most recent call last): File "<stdin>", line 1, in <module> NameError: name 'negation' is not defined

>>

Can you please help me, What is the meaning of this error? How to solve it? Thanks in advance.

…

On 2/16/17, George Gkotsis ***@***.***> wrote: - for the last error you probably need to install setuptools (google it, depends on your current python installation) - for the negation error, it appears you are either trying to run it from a different folder (stanford core nlp) or that you have not installed stanford_corenlp_pywrapper (see installation guideline in my repo) Else, try removing everything and starting from scratch; if you follow the steps one by one, I believe you may be successful -- You are receiving this because you authored the thread. Reply to this email directly or view it on GitHub: #1 (comment)

-- Regards with, J.Manimaran M.Sc.,

[gkotsis]

hmm, it appears this may be an error.

try negation_detection.predict(sentence, 'suicide')

let me know if this worked

[thavasimaniraj]

Dear sir, Thank you for your quick response. I have tried as your guidance, but it gives the following error,

>> negation_detection.predict("ZZZZ reported no recent periods of low mood, discussed how in the past she made many suicide attempts", 'suicide')

Traceback (most recent call last): File "<stdin>", line 1, in <module> File "negation_detection.py", line 435, in predict sentence = preprocess(sentence, keyword) File "negation_detection.py", line 103, in preprocess stemmed = _stem_(keyword) File "negation_detection.py", line 7, in _stem_ from nltk.stem.lancaster import LancasterStemmer ImportError: No module named nltk.stem.lancaster

>>

Can you help me? Thanks in advance.

…

On 2/20/17, George Gkotsis ***@***.***> wrote: hmm, it appears this may be an error. try negation_detection.predict(sentence, 'suicide') let me know if this worked -- You are receiving this because you authored the thread. Reply to this email directly or view it on GitHub: #1 (comment)

-- Regards with, J.Manimaran M.Sc.,

[gkotsis]

try:

import nltk
nltk.download('all')

[thavasimaniraj]

Dear sir, Right now, i am very happy to successfully run this program by using your valuable guidance. It gives the following output,

>> negation_detection.predict(sentence, 'suicide')

INFO:CoreNLP_JavaServer: INPUT: 1 documents, 101 characters, 19 tokens, 101.0 char/doc, 19.0 tok/doc RATES: 0.288 doc/sec, 5.5 tok/sec INFO:CoreNLP_JavaServer: INPUT: 2 documents, 147 characters, 28 tokens, 73.5 char/doc, 14.0 tok/doc RATES: 0.548 doc/sec, 7.7 tok/sec True It is correct or not? Thanks in advance.

…

On 2/20/17, George Gkotsis ***@***.***> wrote: try: import nltk nltk.download('all') -- You are receiving this because you authored the thread. Reply to this email directly or view it on GitHub: #1 (comment)

-- Regards with, J.Manimaran M.Sc.,

[gkotsis]

That is great!

Assuming you used the example sentence, this is indeed correct (i.e. 'suicide attempts' is affirmed/True).

[thavasimaniraj]

Dear sir, Thank you very much for your continuous support. I would like to analysis this algorithm in large dataset as you mention in the research paper "Don’t Let Notes Be Misunderstood: A Negation Detection Method for Assessing Risk of Suicide in Mental Health Records". I think you said that, there are used annotated dataset containing over 6,000 sentences with mentions of suicide (affirmed or negated). If you do not mine, please kindly share me that annotated dataset for my analysis. I surely do not misuse it. Thanks in advance.

…

On Mon, Feb 20, 2017 at 6:55 PM, George Gkotsis ***@***.***> wrote: That is great! Assuming you used the example sentence, this is indeed correct (i.e. 'suicide attempts' is affirmed/True). — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#1 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ADzL2nRNFnU-U7REBlEmSk5rPxwPelAQks5reZQ7gaJpZM4L-6gi> .

-- Regards with, J.Manimaran M.Sc.,

[gkotsis]

Hi,

I am afraid I cannot share/publish this dataset. The dataset originates from real-world Electronic Health Records and I am not allowed to share this data.

[thavasimaniraj]

Dear sir, Thank you very much sir. I understand your difficulties. I hope you won't avoid me and I can continue to ask you any doubt.

…

On Wed, Feb 22, 2017 at 6:40 PM, George Gkotsis ***@***.***> wrote: Hi, I am afraid I cannot share/publish this dataset. The dataset originates from real-world Electronic Health Records and I am not allowed to share this data. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#1 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ADzL2v14BJ7hpFppOaiI9WUsdVTjA5q8ks5rfDPWgaJpZM4L-6gi> .

-- Regards with, J.Manimaran M.Sc.,

[kaushikepi]

@thavasimaniraj @gkotsis How did you get the parse key value when you have used mode as 'pos'.
have you used shift-reduce parse?

[kaushikepi]

Python 3.6.10 |Anaconda, Inc.| (default, Jan 7 2020, 15:01:53)
[GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)] on darwin
Type "help", "copyright", "credits" or "license" for more information.

import negation_detection
INFO:CoreNLP_PyWrapper:mode given as 'parse' so setting annotators: tokenize, ssplit, pos, lemma, parse
INFO:CoreNLP_PyWrapper:Starting java subprocess, and waiting for signal it's ready, with command: exec java -Xmx4g -XX:ParallelGCThreads=1 -cp '/Users/kaushikjaiswal/anaconda3/envs/DOS/lib/python3.6/site-packages/stanford_corenlp_pywrapper/lib/:/Users/kaushikjaiswal/Desktop/Negation/negation-detection/stanford-corenlp-full-2018-10-05/' corenlp.SocketServer --outpipe /tmp/corenlp_pywrap_pipe_pypid=6089_time=1586333049.602601 --configdict '{"annotators":"tokenize, ssplit, pos, lemma, parse"}'
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator tokenize
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator ssplit
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator pos
[main] INFO edu.stanford.nlp.tagger.maxent.MaxentTagger - Loading POS tagger from edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger ... done [1.4 sec].
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator lemma
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator parse
[main] INFO edu.stanford.nlp.parser.common.ParserGrammar - Loading parser from serialized file edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz ... done [1.0 sec].
INFO:CoreNLP_JavaServer: CoreNLP pipeline initialized.
INFO:CoreNLP_JavaServer: Waiting for commands on stdin
INFO:CoreNLP_PyWrapper:Successful ping. The server has started.
INFO:CoreNLP_PyWrapper:Subprocess is ready.
Traceback (most recent call last):
File "", line 1, in
File "/Users/kaushikjaiswal/Desktop/Negation/negation-detection/negation_detection.py", line 439, in predict
INFO:CoreNLP_JavaServer: INPUT: 1 documents, 101 characters, 19 tokens, 101.0 char/doc, 19.0 tok/doc RATES: 0.880 doc/sec, 16.7 tok/sec

sentence = preprocess(sentence, keyword)

File "/Users/kaushikjaiswal/Desktop/Negation/negation-detection/negation_detection.py", line 152, in preprocess
for e in rs['sentences']:
TypeError: 'NoneType' object is not subscriptable

[kaushikepi]

{"sentences":
	[
		{	"pos":["NNP","VBD","DT","JJ","NNS","IN","JJ","NN",",","VBD","WRB","IN","DT","JJ","PRP","VBD","JJ","NN","NNS"],

			"lemmas":["ZZZZ","report","no","recent","period","of","low","mood",",","discuss","how","in","the","past","she","make","many","suicide","attempt"],

			"tokens":["ZZZZ","reported","no","recent","periods","of","low","mood",",","discussed","how","in","the","past","she","made","many","suicide","attempts"],

			"char_offsets":[[0,4],[5,13],[14,16],[17,23],[24,31],[32,34],[35,38],[39,43],[43,44],[45,54],[55,58],[59,61],[62,65],[66,70],[71,74],[75,79],[80,84],[85,92],[93,101]]
		}
	]
}

There is no parse key in it then how did you get the values when the p = tmp['sentences'][i]['parse'] of the below function gets called:

def findSentencePTreeToken(sentence, keyword):
	import nltk
	from nltk.tree import ParentedTree
	stemmed = _lemma_(keyword)
	tmp = proc.parse_doc(sentence)
	i = 0
	numSentences = len(tmp['sentences'])
	rs = []
	for i in range(0, numSentences):
		p = tmp['sentences'][i]['parse']
		ptree = ParentedTree.fromstring(p)

		# rs = []
		for i in range(0, len(ptree.leaves())):
			tree_position = ptree.leaf_treeposition(i)

			node = ptree[tree_position]

			if _stem_(node)==stemmed:
				tree_position = tree_position[0:len(tree_position)-1]
				rs.append(ptree[tree_position])
		# if len(rs)>0:
		# 	return rs
	return rs

@gkotsis