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https://github.com/dcavar/xrenner-json-nlp

Xrenner wrapper for JSON-NLP.

https://github.com/dcavar/xrenner-json-nlp

Science Score: 10.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
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    codemeta.json file
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    .zenodo.json file
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    DOI references
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    Academic publication links
  • ✓
    Committers with academic emails
    1 of 4 committers (25.0%) from academic institutions
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    Scientific vocabulary similarity
    Low similarity (11.7%) to scientific vocabulary

Keywords

anaphora-resolution json natural-language-processing nlp python3 xrenner

Keywords from Contributors

spacy polyglot
Last synced: 4 months ago · JSON representation

Repository

Xrenner wrapper for JSON-NLP.

Basic Info
Statistics
  • Stars: 4
  • Watchers: 4
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
anaphora-resolution json natural-language-processing nlp python3 xrenner
Created almost 7 years ago · Last pushed over 6 years ago
Metadata Files
Readme License

README.md

Xrenner to JSON-NLP

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

Brought to you by the NLP-Lab.org!

Introduction

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: 

CORENLP_SERVER=http://localhost:9000

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.

Microservice

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

python xrennerjsonnlp/server.py

Since server.py 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.

Owner

  • Name: Damir Cavar
  • Login: dcavar
  • Kind: user
  • Location: Bloomington, IN
  • Company: Indiana University

GitHub Events

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Last Year

Committers

Last synced: 10 months ago

All Time
  • Total Commits: 13
  • Total Committers: 4
  • Avg Commits per committer: 3.25
  • Development Distribution Score (DDS): 0.538
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Oren Baldinger o****g@i****u 6
Damir Cavar d****r@m****m 5
blf11139 b****9@g****m 1
anurag_kumar a****5@g****m 1
Committer Domains (Top 20 + Academic)
me.com: 1 iu.edu: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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Packages

  • Total packages: 1
  • Total downloads:
    • pypi 30 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 5
  • Total maintainers: 1
pypi.org: xrennerjsonnlp

The Python Xrenner JSON-NLP package

  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 30 Last month
Rankings
Dependent packages count: 10.1%
Dependent repos count: 21.6%
Forks count: 22.6%
Stargazers count: 23.1%
Average: 24.2%
Downloads: 43.8%
Maintainers (1)
dcavar
Last synced: 5 months ago

Dependencies

setup.py pypi
  • beautifulsoup4 >=4.6.3
  • nltk >=3.4
  • pyjsonnlp >=0.2.11
  • python-dotenv >=0.10.1
  • xrenner >=2.0.2.0