Metadata-Version: 2.1
Name: UCCA
Version: 1.3.11
Summary: Universal Conceptual Cognitive Annotation
Home-page: https://github.com/huji-nlp/ucca
Author: Daniel Hershcovich
Author-email: danielh@cs.huji.ac.il
License: UNKNOWN
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Text Processing :: Linguistic
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Description-Content-Type: text/markdown
Requires-Dist: numpy (>=1.15.0)
Requires-Dist: spacy (==2.3.5)
Requires-Dist: requests (>=2.18.4)
Requires-Dist: tqdm (>=4.23.3)
Provides-Extra: distances
Requires-Dist: distances (>=1.0) ; extra == 'distances'
Requires-Dist: zss (>=1.2) ; extra == 'distances'
Requires-Dist: munkres (>=1.0.12) ; extra == 'distances'
Provides-Extra: visualize
Requires-Dist: matplotlib (==3.3.3) ; extra == 'visualize'
Requires-Dist: networkx (>=2.0) ; extra == 'visualize'

Universal Conceptual Cognitive Annotation
============================
UCCA is a linguistic framework for semantic annotation, whose details
are available at [the following paper](http://aclweb.org/anthology/P13-1023):

    @inproceedings{abend2013universal,
      author={Abend, Omri  and  Rappoport, Ari},
      title={{U}niversal {C}onceptual {C}ognitive {A}nnotation ({UCCA})},
      booktitle={Proc. of ACL},
      month={August},
      year={2013},
      pages={228--238},
      url={http://aclweb.org/anthology/P13-1023}
    }

This Python 3 package provides an API to the UCCA annotation and tools to
manipulate and process it. Its main features are conversion between different
representations of UCCA annotations, and rich objects for all of the linguistic
relations which appear in the theoretical framework (see `core`, `layer0`, `layer1`
and `convert` modules under the `ucca` package).

The `scripts` package contains various utilities for processing passage files.

To parse text to UCCA graphs, use [TUPA, the UCCA parser](https://github.com/danielhers/tupa).


Authors
------
* Amit Beka: amit.beka@gmail.com
* Daniel Hershcovich: daniel.hershcovich@gmail.com


License
-------
This package is licensed under the GPLv3 or later license.

                [ ~ Dependencies scanned by PyUp.io ~ ]
[![Build Status (Travis CI)](https://travis-ci.org/danielhers/ucca.svg?branch=master)](https://travis-ci.org/danielhers/ucca)
[![Build Status (AppVeyor)](https://ci.appveyor.com/api/projects/status/github/danielhers/ucca?svg=true)](https://ci.appveyor.com/project/danielh/ucca)
[![Build Status (Docs)](https://readthedocs.org/projects/ucca/badge/?version=latest)](http://ucca.readthedocs.io/en/latest/)
[![PyPI version](https://badge.fury.io/py/UCCA.svg)](https://badge.fury.io/py/UCCA)


