Skip to main content

The Python Xrenner JSON-NLP package

Project description

Xrenner to JSON-NLP

(C) 2019 by Damir Cavar, Oren Baldinger, Maanvitha Gongalla, Anurag Kumar, Murali Kammili, Boli Fang

Brought to you by the!


Xrenner wrapper for JSON-NLP. Xrenner specializes in coreference and anaphora resolution, in a more highly annotated manner than just a coreference chain.

Required Dependency Parse

Xrenner requires a Dependency Parse in CoNLL-U format. This can come from CoreNLP, or another parser that provides universal dependencies in [CoNNL-U] format. There are two ways to accomplish this:

CoreNLP Server

The XrennerPipeline class will take care of the details, however it requires an available CoreNLP server. The easiest way to create one is with Docker:

docker pull nlpbox/corenlp
docker run -p 9000:9000 -ti nlpbox/corenlp

To test this, open a new tab,

wget -q --post-data "Although they didn't like it, they accepted the offer."   'localhost:9000/?properties={"annotators":"depparse","outputFormat":"conll"}' -O /dev/stdout

You then need to create a .env file in the root of the project, follow the example in sample_env. The default entry that corresponds to the Docker command above is:


Provide your own CoNLL-U

Use the XrennerPipeline.process_conll function, with your conll data passed as a string via the conll argument.

You may find the pyjsonnlp.conversion.to_conllu function helpful for converting JSON-NLP, maybe from spaCy, to CoNLL-U.


The JSON-NLP repository provides a Microservice class, with a pre-built implementation of Flask. To run it, execute:

python xrennerjsonnlp/

Since extends the Flask app, a WSGI file would contain:

from xrennerjsonnlp.server import app as application

Text is provided to the microservice with the text parameter, via either GET or POST. If you pass url as a parameter, the microservice will scrape that url and process the text of the website.

Here is an example GET call:

http://localhost:5000?text=John went to the store. He bought some milk.

The process_conll endpoint mentioned above is available at the /process_conll URI. Instead of passing text, pass conll. A POST operation will be easier than GET in this situation.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

xrennerjsonnlp-0.0.5.tar.gz (14.8 kB view hashes)

Uploaded source

Built Distribution

xrennerjsonnlp-0.0.5-py3-none-any.whl (18.3 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page