This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
Project Description

eXternally configurable REference and Non Named Entity Recognizer

https://corpling.uis.georgetown.edu/xrenner/

Usage:

xrenner.py [options] INFILE (> OUTFILE)

Options:

-m, --model input model directory name, in models/, default ‘eng’
-o, --output output format, default: sgml; alternatives: html, paula, webanno, conll, onto, unittest
-x, --override specify a section in the model’s override.ini file with alternative settings, default=None; possible values such as ‘OntoNotes’, ‘GUM’
-v, --verbose output run time and summary
-t, --test run unit tests and quit
--version print xrenner version and quit

Input format:

1       Wikinews        Wikinews        NP      NNP     _       2       nsubj   _       _
2       interviews      interview       VVZ     VBZ     _       0       root    _       _
3       President       president       NN      NN      _       2       dobj    _       _
4       of      of      IN      IN      _       3       prep    _       _
5       the     the     DT      DT      _       7       det     _       _
6       International   international   NP      NNP     _       7       amod    _       _
7       Brotherhood     brotherhood     NP      NNP     _       4       pobj    _       _
8       of      of      IN      IN      _       7       prep    _       _
9       Magicians       magician        NPS     NNPS    _       8       pobj    _       _

1       Wednesday       Wednesday       NP      NNP     _       0       root    _       _
2       ,       ,       ,       ,       _       0       punct   _       _
3       October October NP      NNP     _       4       nn      _       _
4       9       9       CD      CD      _       1       appos   _       _
5       ,       ,       ,       ,       _       0       punct   _       _
6       2013    2013    CD      CD      _       3       tmod    _       _

Installation:

Download and use the main xrenner.py script on an input file, or install from PyPI and import as a module:

> pip install xrenner

Examples:

  • python xrenner.py example_in.conll10 > example_out.sgml
  • python xrenner.py -x GUM example_in.conll10 > example_out.sgml
  • python xrenner.py -o conll example_in.conll10 > example_out.conll
  • python xrenner.py -m eng -o conll example_in.conll10 > example_out.conll

Module usage:

from xrenner import Xrenner

xrenner = Xrenner()
my_conllx_result = some_parser.parse("John visited Spain. His visit went well.")

print xrenner.analyze(my_conllx_result,"sgml")
Release History

Release History

1.4.1.8

This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Show More

1.4.1.4

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Show More

1.4.1

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Show More

Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
xrenner-1.4.1.8.zip (4.5 MB) Copy SHA256 Checksum SHA256 Source Oct 19, 2016

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS HPE HPE Development Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting