Metadata-Version: 2.0
Name: UCCA
Version: 1.0.1
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+)
Requires-Dist: spacy

Universal Conceptual Cognitive Annotation |Build Status|
========================================================

UCCA is a linguistic framework for semantic annotation, whose details
are available at `the following
paper <http://www.cs.huji.ac.il/~oabend/papers/ucca_acl.pdf>`__:

::

    @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.

Authors
-------

-  Amit Beka: amit.beka@gmail.com
-  Daniel Hershcovich: danielh@cs.huji.ac.il

License
-------

This package is licensed under the GPLv3 or later license.

.. |Build Status| image:: https://travis-ci.org/danielhers/ucca.svg?branch=master
   :target: https://travis-ci.org/danielhers/ucca


