stanford-corenlp | Python wrapper for Stanford CoreNLP | Natural Language Processing library
kandi X-RAY | stanford-corenlp Summary
kandi X-RAY | stanford-corenlp Summary
stanfordcorenlp is a Python wrapper for Stanford CoreNLP. It provides a simple API for text processing tasks such as Tokenization, Part of Speech Tagging, Named Entity Reconigtion, Constituency Parsing, Dependency Parsing, and more.
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Top functions reviewed by kandi - BETA
- Close the process
- Tokenize a sentence
- Make a request to the API
- Returns a list of the corefs of the given text
- Returns a list of the words in the given sentence
- Return a list of POS tags for a given sentence
- Annotate text with given properties
- Parse a sentence using semgrex
- Perform tregex search
- Parse a single sentence
- Check arguments
- Check language
- Parse a sentence
- Switch the current language
stanford-corenlp Key Features
stanford-corenlp Examples and Code Snippets
Community Discussions
Trending Discussions on stanford-corenlp
QUESTION
I am processing some documents and I am getting many WORKDAY messages as seen below. There's a similar issue posted here for WEEKDAY. Does anyone know how to deal with this message. I am running corenlp in a Java server on Windows and accessing it using Juypyter Notebook and Python code.
...ANSWER
Answered 2021-Nov-20 at 19:28This is an error in the current SUTime rules file (and it's actually been there for quite a few versions). If you want to fix it immediately, you can do the following. Or we'll fix it in the next release. These are Unix commands, but the same thing will work elsewhere except for how you refer to and create folders.
Find this line in sutime/english.sutime.txt and delete it. Save the file.
{ (/workday|work day|business hours/) => WORKDAY }
Then move the file to the right location for replacing in the jar file, and then replace it in the jar file. In the root directory of the CoreNLP distribution do the following (assuming you don't already have an edu file/folder in that directory):
QUESTION
I have a Python program where I am using os.sys to train the Stanford NER from the command line. This returns an output/training status which I save in the variable "status", and it is usually 0. However, I just ran it and got an output of 256, as well as not creating a file for the trained model. This error is only occurring for larger sets of training data. I searched through the documentation on the Stanford NLP website and there doesn't seem to be info on the meanings of the outputs or why increasing training data might affect the training. Thanks in advance for any help and problem code is below.
...ANSWER
Answered 2021-Jul-28 at 05:35Status is an exit code, and non-zero exit codes mean your program failed. This is not a Stanford NLP convention, it's how all programs work on Unix/Linux.
There should be an error somewhere, maybe you ran out of memory? You'll have to track that down to find out what's wrong.
QUESTION
I am looking for a way to extract and merge annotation results from CoreNLP. To specify,
...ANSWER
Answered 2021-Jan-07 at 22:46The coref chains have a sentenceIndex and a beginIndex which should correlate to the position in the sentence. You can use this to correlate the two.
Edit: quick and dirty change to your example code:
QUESTION
I am running the StanfordCoreNLP server through my docker container. Now I want to access it through my python script.
Github repo I'm trying to run: https://github.com/swisscom/ai-research-keyphrase-extraction
I ran the command which gave me the following output:
...ANSWER
Answered 2020-Oct-07 at 08:08As seen in the log, your service is listening to port 9000 inside the container. However, from outside you need further information to be able to access it. Two pieces of information that you need:
- The IP address of the container
- The external port that docker exports this 9000 to the outside (by default docker does not export locally open ports).
To get the IP address you need to use docker inspect, for example via
QUESTION
I wanted to parse the following example using the Stanford Core NLP suite using the dependency parser:
...ANSWER
Answered 2020-Aug-04 at 01:35I think the online version is first constituency parsing the sentence and then converting to a dependency parse. The other example might be from the neural dependency parser.
So if you try just using the parse annotator (and don't use the depparse annotator), you should get the results you want.
QUESTION
I have a .csv file consists of Imdb sentiment analysis data-set. Each instance is a paragraph. I am using Stanza https://stanfordnlp.github.io/stanza/client_usage.html for getting parse tree for each instance.
...ANSWER
Answered 2020-Jul-29 at 01:12You should only start the server once. It'd be easiest to load the file in Python, extract each paragraph, and submit the paragraphs. You should pass each paragraph from your IMDB to the annotate() method. The server will handle sentence splitting.
QUESTION
I have a C++, Java, and CMake project but I am, at the moment, unable to compile it. I encounter the following error.
...ANSWER
Answered 2020-Jul-27 at 13:42By calling the line:
QUESTION
I try sentiment analysis of tweet text by both stanford nlp python package and the live demo, but the results are different. The result of the python package is positive while the result of the live demo is negative.
- For python package, I download stanford-corenlp-4.0.0 and install py-corenlp, basically follow the instruction in this answer: Stanford nlp for python, the code is shown below:
ANSWER
Answered 2020-Jul-26 at 06:39The old sentiment demo is probably running older code/older models, so that is why the results would be different. CoreNLP 4.0.0 should return POSITIVE for the entire sentence.
QUESTION
I have an spring boot gradle project etl with a dependency of common core classes in another project named common.
common/build.gradle
...ANSWER
Answered 2020-Jun-05 at 16:13The problem was because of spring boot plugin being present in both etl and common projects. so I found out that in the cammon/build.gradle I have to add this piece of code:
QUESTION
New to Jenkins, So I have a java web project (maven) and a Unit test file for it. Test File Structure : src/test/java/PreProcessorTest.java
The test is successfully executed in intellij. But Jenkins is not considering this test file and saying build as successful.
It Shows " There are no tests to run"
...Jenkins Console Log
ANSWER
Answered 2020-Mar-19 at 10:35Apparently, the surefire plugin I was using was not supporting Junit 5.
So change this
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